Bioinformatics Analyst Resume Samples
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Bioinformatics Analyst Resume Samples
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VG
V Gottlieb
Verna
Gottlieb
64870 Beatty Lakes
San Francisco
CA
+1 (555) 187 5731
64870 Beatty Lakes
San Francisco
CA
Phone
p
+1 (555) 187 5731
Experience
Experience
Philadelphia, PA
Bioinformatics Analyst
Philadelphia, PA
Dietrich, Cruickshank and Stracke
Philadelphia, PA
Bioinformatics Analyst
- Assist in analysis pipeline and algorithms development and validation, and provide written documentation
- Assist in the management of large biological datasets and maintaining data analysis workflows as necessary for data analysis
- Contribute to designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
- Work with ClinOmics Lead and wetlab personnel to perform basic admin duties to maintain Clarity LIMS
- Maintain detailed documentation of software developed and analyses performed
- Work collaboratively with other staff to develop the resources in the GCC
- Work collaboratively with team members, and will ensure seamless transition of work when planning to be absent from the office
Phoenix, AZ
Biostatistics / Bioinformatics Analyst
Phoenix, AZ
Gutmann-Zboncak
Phoenix, AZ
Biostatistics / Bioinformatics Analyst
- Assist investigators in planning and design of experiments
- Maintain accurate records and track a large number of samples
- Interprets analyses and writes statistical sections of study reports
- Communicates computational biology principles and concepts to faculty and staff
- Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental design and assisting investigators with submission of manuscripts and/or grant applications
- Establish and manage an analytical pipeline for data analyses, and generate workflows in scripting languages to automate bioinformatics processes
- Stay abreast of current and emerging technologies and tools related to the field by interacting with local and external computational biologists, as well as attending scientific conferences and/or workshops related to bioinformatics
present
Boston, MA
Senior Bioinformatics Analyst
Boston, MA
Ferry and Sons
present
Boston, MA
Senior Bioinformatics Analyst
present
- Collaborate with team lead, managers, and supervisors in planning, designing, implementing, analytic reporting all research informatics applications
- Address production issues, implement fixes to address them & work to prevent them in future
- Participate in all aspects of governance and compliance in the use of the systems, QA reporting to ensure institutional policies and procedures are adhered to and that data integrity is maintained
- Coordinate and participate in management of research informatics implementations in a multi-disciplinary team including research coordinators, clinician-investigators, managers and administrators, software developers, engineers, support and reporting staff, etc. on various aspects of a project
- Participate in implementing software modules using varieties of technologies: .Net, C#, ASPX, SQL, PL/SQL, REST/SOAP web services, JSON, XML, HTML, CSS, and JavaScript etc
- Deploy and manage application on varieties of application servers
- Document and demonstrate solutions by developing technical documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of California, San Diego
Bachelor’s Degree in Computer Science
Skills
Skills
- Reliable and dependable performance
- Basic proficiency in the use of biological databases and on-line resources/tools used at ARUP
- Knowledge in basic biological processes and genomics
- Ability to be organized and keep detailed and accurate documentation
- An in-depth and practical knowledge of bio-statistics and the ability to work with a variety of different biological data types
- Comfortable using both Linux and Windows platforms
- Demonstrated ability to learn about new technologies
- Regular and reliable attendance
- Ability to work well with others
- Ability to communicate effectively in both written and verbal English
15 Bioinformatics Analyst resume templates
Read our complete resume writing guides
1
Bioinformatics Analyst Resume Examples & Samples
- Developing, improving, and maintaining genomics analysis software related to research projects in the laboratory Analyzing large collections of biological sequence data, especially variant identification, expression profiling, and related assays
- Authoring and/or co-authoring scholarly papers and presenting research materials at conferences and other scientific meetings
- Communicating with collaborators and users of the software to obtain feedback, understand and fix programming mistakes, understand and implement requested new features
- Applying software debugging and profiling tools and principles to diagnose and resolve problems, including both bugs and performance problems
- Applying principles of programming and computer architecture to adapt the software to run efficiently on multi-core servers as well as in cluster environments
- Delegating system administration work to IT staff as appropriate
2
Bioinformatics Analyst Resume Examples & Samples
- 4 years data analysis/report writing or similar experience required
- Demonstrated ability to learn about new technologies
- PhD or Master’s degree in Bioinformatics, Biostatistics or Computer Science with biology background
- Record of taking the initiative to solve problems and working with high standards
3
Bioinformatics Analyst Resume Examples & Samples
- Interprets complex biological information. Performs tasks to reduce and consolidate output from software. Prepares data for utilization by other scientists
- Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria
- Must be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resources
- Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data
- Implements end-users needs in database searching and integration
- Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies
- Recognizes and reports problems with the data management process and fixes the problems whenever possible
- Bachelors degree required, MS preferred in bioinformatics, computer science and/or the life sciences and 0-2 years relevant experience
- Familiarity with simple programming using Perl/Python or Java, C/C++, statistical programming using R or related tools, web-development, and database query through SQL
- Familiarity with principles of experimental design and modern data analysis paradigms is required
- Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts
- Excellent analytical, organizational and time management skills
4
Bioinformatics Analyst Resume Examples & Samples
- Development of novel algorithms for the analysis of genomic alterations in DNA and RNA
- Identification and evaluation of existing analysis tools and incorporate these algorithms into analysis
- Work closely with experimental colleagues to plan, evaluate, and troubleshoot experimental methods
- Share computational methods developed by the team with DFCI/BWH colleagues
- Experience evaluating and developing tools for the analysis of DNAseq or RNAseq
- Strong scientific background with prior experience in cancer biology and/or genomics
- Excellent communication and effective problem-solving skills
- Ability to work independently, prioritize, and manage a team within an environment with ever changing priorities
5
Bioinformatics Analyst Resume Examples & Samples
- Interpret complex biological information and meet with research scientists to provide bioinformatics consultation in the analysis of experimental data
- Communicate with research scientists to understand and obtain data analysis specifications
- Design data analysis project plans and estimate time to completion
- Work independently and as a team member to analyze data, developing software tools where necessary
- Work collaboratively with other staff to develop the resources in the GCC
- Familiarity with genomic technologies and their applications, including experimental design considerations
- Familiarity with a wide range of biological databases and resources, including, but not limited to GenBank, EnsEMBL, the UCSC genome browser, Reactome, and other similar resources
- Familiarity with meta-analysis methods, including functional class enrichment and pathway analysis
- Proficiency in programming using perl/python/java/C++/R, statistical programming using R or related tools, web-development, and database query through SQL and ability to prototype software solutions for data analysis
- Excellent communication skills are essential
6
Bioinformatics Analyst Resume Examples & Samples
- Calculate, transcribes and analyzes data using advanced statistical techniques
- Performs literature searches and helps to prepare presentations and written articles for publication
- In collaboration with PI or Research Manager, establishes new and modifies existing research techniques
- BS or MS in computational biology
- Must have at least one year of work experience in an academic research setting
- Sound degree of computer literacy
- Basic skills with R or similar programming language
- Experience working in a team
7
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor's degree in from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in computer science or related field or four (4) years related experience in lieu of degree
- A minimum of two (2) years of progressively responsible relevant experience
- Experience working with and developing digital image analysis software
- Ability to independently learn new technologies in a rapidly evolving environment
- Ability to multitask and prioritize workload to meet established goals
- Strong C/C++ programming skills
- Experience with version control such as git and subversion and development within a project team environment
- M.S. in Computer Science or related field is highly preferred
- Experience solving real-world algorithmic programming issues
- Experience performing image segmentation, image registration, and statistical analysis on scientific data
- Experience with 3D Volume Rendering (Raycasting) of biomedical images
- Experience with relational and NoSQL databases such as Oracle, PostgresSQL, MongoDB, etc
- Ability to develop customized web application for image and information visualization using open source libraries such as d3.js and cornerstone
- A scientific developer with image analysis background and a M.S. in a relevant scientific discipline is desired
8
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor’s degree in biomedical science/bioinformatics/computer related field from an accredited college or university or four (4) years related experience in lieu of degree
- A minimum of five (5) years of progressively responsible relevant experience in a bioinformatics setting with an emphasis in development of algorithms for gene/pathway level analysis of differentially expressed genes
- Proficient in microarray analysis including normalization, clustering and statistical techniques
- Expertise in NextGen Sequencing (NGS) analysis
- Proficient in data analysis with statistical packages
- Experience working in a Unix/Linux environment
- Knowledge of public databases such as GO, GenBank, PubMed, and Pathways databases as well as operation of command-line open source bioinformatics tools
- Demonstrated proficiency in working both independently and in a team environment
- Doctoral degree is desired
- Prior experience in analysis and integration of pan-omics results is desired
- Experience with biomarker identification and detecting disease sub-types
- Programming expertise in Java, Python or Perl
- Experience using R
- Expertise in developing analysis workflows and automated pipelines
9
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/math/statistics/computer related field or four (4) years related experience in lieu of degree
- Experience in next generation sequence analysis (NGS) including quality metrics, mapping, variant calling and biological interpretation
- Experience analyzing large genomic data sets including integration with data available from public or private sources
- Hands-on experience in data processing and analyzing sequencing, expression and other array data including quality and biological assessment
- Proficiency in Unix (Linux) system, scripting and programming languages such as Shell, R, Python, JavaScript, Perl, Java, SQL and bioinformatics tools and database management
- Experience performing statistical analysis of complex biological data
- Strong organizational skills and information tracking experience for data with complex structures
- Peer reviewed publications demonstrating knowledge of the biology of cancer
- Experience with Ion Torrent systems, including the Ion Reporter system
- In-depth understanding in molecular biology techniques, oncology and clinical research
- Experience in data integration, database construction, application development and visualization
- Experience in porting applications to a web environment and working with workflow tools and applications
- Ability to work effectively in a team-oriented environment
- Ability to identify and solve complex problems
10
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor's degree in computer science or related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or four (4) years related experience in lieu of degree
- A minimum of two (2) years of progressively responsible relevant experience and
- Experience solving real-world algorithmic programming issues,
- Experience performing image segmentation, image registration, and statistical analysis on scientific data,
- Experience with 3D Volume Rendering (Raycasting) of biomedical images,
- Experience with relational and NoSQL databases such as Oracle, PostgresSQL, MongoDB, etc.,
- Ability to develop customized web application for image and information visualization using open source libraries such as d3.js and cornerstone,
11
Bioinformatics Analyst Resume Examples & Samples
- Bachelor’s degree in life science/bioinformatics/math/physics/computer related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or four (4) years related experience in lieu of degree
- Foreign degrees must be evaluated for U.S. Equivalency
- A Minimum of two (2) years of progressively responsible relevant experience
- Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization
- Ability to understand and analyze data from complex experimental designs
- Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++
- Experience in at least two of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis
- Expertise in using tools for NGS data-processing: Novoalign, STAR, BWA, GATK, Samtools, Annotator, SnpEff, Limma, EdgeR, DESeq2
- Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose
- Knowledge of working in a cluster environment
- A Masters’ or PhD degree in any quantitative science is preferred
- Commitment to solving biological problems and communicating these solutions
- Ability to multi-task across projects
- Experience in submitting data sets to public repositories
- Management of large genomic data sets including integration with data available from public sources
- Prior customer-facing role
- Record of scientific achievements including journal publications and conference presentations
12
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor's degree in biomedical science/bioinformatics/math/computer related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or four (4) years related experience in lieu of degree
- A minimum of five (5) years of progressively responsible relevant experience is required
- Experience processing and analyzing sequencing, genotyping, expression and other data utilizing R/Bioconductor (including quality and biological assessment) is essential
- Familiarity with diverse analytical tools (e.g. PLINK, GATK, GLU, IMPUTE2+snptest, BEAGLE, UCSC Genome Browser, etc.)
- Programming experience with Shell, Perl, Python, C/C++, and/or JAVA
- Ability to self-educate in current bioinformatics techniques and resource
- Master's degree or Ph.D. in bioinformatics, biostatistics, computer science, computational biology and other related disciplines
- Familiarity with publically available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX, HMP) and diverse genomic annotations
- Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a compute cluster environment)
- Experience in the field of molecular and population genetics
13
Bioinformatics Analyst Resume Examples & Samples
- Bachelor’s, Masters or PhD degree in life science/bioinformatics/math/physics/computer related field from an accredited college according to the Council for Higher Education Accreditation (CHEA)
- Processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization
- Data analysis for complex experiments
- Experience with high throughput analysis pipelines such as, metagenomics, ChIPSeq, RNASeq, ExomeSeq, microarray analysis
- Experience in using tools for NGS data-processing tools
- Knowledge of database programming and working in a cluster environment
- Ability to work in collaborative environment and contribute to team projects
- Ability to work without close supervision
- Applied statistics and design of experiments
- Application development experience
- Knowledge of cancer biology
- Experience with bioinformatics tools such as: Novoalign, STAR, BWA, GATK, Samtools, Annotator, SnpEff, Limma, EdgeR, DESeq2
- Proficiency in one, preferably two, of the following programming languages: Perl, Python, R, Java and C/C++
14
Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor’s degree in biomedical science/bioinformatics/computer related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or four (4) years related experience in lieu of degree
- No Experience required with a Bachelor’s degree
- Experience in microarray analysis including normalization, clustering and statistical techniques
- Knowledge of Next Gen Sequencing analysis
- Experience in data analysis with statistical packages
- Master’s degree is desired
15
Bioinformatics Analyst Resume Examples & Samples
- Work with molecular biologists and clinical geneticists to analyze results of next-generation sequencing-based experiments
- Maintain, develop, and support Good Start Genetics’ next generation sequencing analysis pipeline and associated test codebase
- Develop new strategies for analyzing and visualizing next generation DNA sequencing data
- Maintain detailed documentation of software developed and analyses performed
- Prepare reports for peer-reviewed publication and internal use
- Work collaboratively as part of a small, interdisciplinary team of clinical geneticists, molecular biologists, computer scientists, and mathematicians / statisticians
- Knowledge, Skills, and Abilities
- BA, BS, or MS in Computer Science, Mathematics, Biological Engineering, Computational Biology/Bioinformatics, Biology, or a related discipline
- Strong command of statistics and probability, and their application to quantitative analyses
- 2+ years programming experience with both compiled and interpreted (Python required) languages. Experience with other scripting and compiled languages a plus
- Experience and comfort working in a Linux/Unix environment
- Proven track record analyzing data for next-generation DNA sequencing and/or genomic analysis a strong plus
- Demonstrated ability to glean novel/key features from large-scale data sets
- Experience performing quantitative analyses on large genomic datasets
- Experience with cloud computing is considered a plus
- Understanding of molecular biology and human genetics / genomics highly desirable
- Willingness to work in a start up environment. Proven teamwork and leadership skills. High creativity. Excellent communication skills and attention to detail
- Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus, especially in the clinical diagnostics space
16
Bioinformatics Analyst Resume Examples & Samples
- A master's degree in bioinformatics, computational biology, biostatistics, or related field. Two years of experience in bioinformatics and/or computational biology
- Expertise in systems biology and/or omics data analysis
- Strong skills with statistical packages in R to discover patterns, trends, and groups within complex biological data
- Experience with one or more programming languages: R, Python, Perl
- Strong communication skills (both verbal and written) and interpersonal skills to clearly and concisely convey objectives and results to a diverse audience including clinicians, biochemists, computational biologists, molecular biologists, and toxicologists. Able to multitask and thrive in a fast paced, dynamic, project-driven work environment
- Comfortable using both Linux and Windows platforms
- Knowledge of statistical and data mining techniques such as PCA, hierarchical clustering, ANOVA, SVM, PLS, and LIMMA
- Experience with R or other open source software packages for biological and statistical data analysis
- Experience working with large –omics data (metabolomics and/or transcriptomics)
- Familiarity with pathway enrichment and network analysis
- Familiarity with MySQL/NoSQL and knowledge of relational databases
17
Bioinformatics Analyst Resume Examples & Samples
- Proficiency in Python, postgreSQL and R
- An in-depth and practical knowledge of bio-statistics and the ability to work with a variety of different biological data types
- Have previously worked with NGS data, including RNA-seq and ChIP-seq
- Experience working with cancer genomics or epigenomics data from patient samples, mouse models or cancer cell lines
- Applicants with background in molecular biology, genetics or similar field, strong laboratory experience and bioinformatics expertise are encouraged to apply
- Masters with at least 2 years’ experience, in Bioinformatics, Computer Science, Computational Biology or related field
- Strong computer skills on the analysis of genomic data using bioinformatics, in addition to working knowledge of sequencing technologies is required. The applicant must have clearly demonstrated skill for scientific research in the field through scientific publications, conference presentations and similar scholarly achievements
- Programming experience with two scripting languages, either Python, Perl or Ruby, and standard algorithms – data structures
- Familiarity with relational database systems and writing SQL queries for data management/storage retrieval
- Knowledge of next-generation sequencing
- Parsing of next-gen datasets using programming libraries (BioPerl, BioPython)
18
Bioinformatics Analyst Resume Examples & Samples
- Benchmarking and testing biological applications of the HMMER and Infernal tools
- Development of HMMER and Infernal’s command line interfaces, output formats, and interfaces to other tools (such as Galaxy, Bioconductor, BioPython, BioPerl)
- Writing user-oriented documentation and tutorials
- Managing code releases and availability to the community
- Expertise in biological sequence analysis using HMMER and Infernal software, and databases such as Pfam, InterPro, and Rfam
- Expertise in scientific data analysis in environments such as Galaxy and Bioconductor, and data exchange in formats such as JSON
- Expertise in UNIX (Mac OS/X or Linux) and in scripting (Python or Perl)
- Expertise in software testing and release (github), and writing web-based documentation (HTML, CSS, Jekyll)
- Strong verbal and written communication skills and the ability to work well as part of a small but geographically-distributed team
19
Bioinformatics Analyst Resume Examples & Samples
- A minimum of five (5) years of progressively responsible relevant experience
- Solid background in the applied statistics and design of experiments
- Experience in at least three of the following areas: Metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis
- Familiarity with statistical packages like R and MATLAB
- Laboratory experience and experience in molecular biology techniques
- A PhD or Master’s degree preferred
20
Bioinformatics Analyst Resume Examples & Samples
- Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience
- Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data
- Experience and comfort in working within a UNIX/Linux environment
- Background in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL
- Good communication and team skills and fluency in both spoken and written English
- Familiarity with basic molecular biology
- Knowledge of, and experience with, modeling techniques relevant to cancer genomics data addressing tumor purity, clonal heterogeneity, and regional variation in mutation rates
- Comprehensive knowledge of statistics, particularly Monte Carlo based methods
- Background in cancer biology
- PhD in bioinformatics-related field
- Experience in next-generation sequencing analysis of cancer genomes
- Experience with algorithm development
- Experience with integrating backend databases and scripts with web interfaces (e.g. Ruby on Rails, php, perl-cgi, javascript, JSP, etc.)
- Familiarity with machine learning, information theory and signal processing
- Substantial experience with MS Office and analytical programs
21
Bioinformatics Analyst Resume Examples & Samples
- Two (2) years of progressively responsible relevant experience
- Experience with quantitative LC-MS/MS analysis and data evaluation in combination with proteogenomics approaches
- Proficiency in at least two of the following programming languages: Perl, Python, R, Java
- Experience in using tools for next generation sequencing (NGS) data-processing: Novoalign, STAR, BWA, GATK, Samtools, SnpEff, Limma, EdgeR, DESeq2
- Familiar with applied statistics
22
Bioinformatics Analyst Resume Examples & Samples
- Interface with projects to perform quality control and analysis of the data
- Develop testable hypotheses that will inform follow-up experiments and enable rapid understanding of new biological areas
- Use a state-of-the-art bioinformatics platform that will include both collecting and housing the data. Contribute to the creation of a biologist-friendly interface and analysis tools to allow the mining of epigenetic data
- A Bachelors or Masters degree in computational biology, bioinformatics or related field with at least 2 years professional experience in processing large genome-wide data sets. Experience in epigenetics and transcriptional analysis is a plus
- Strong programming capabilities in at least two of the following: Python, Perl, Java, R/S-plus and C++. - Experience in translating data-mining efforts into actionable hypotheses and algorithm design/implementation/testing - Project management experience, capable of setting and reaching goals
- Good communication and analytic skills, in interacting with both wet-lab and computational biologists
23
Bioinformatics Analyst Resume Examples & Samples
- Developing genetic design tools for forward design of enzymes, metabolic pathways and genomes
- Developing tools for comparative and phylogenetic analysis of genome and metagenome sequence data
- Developing sequence analysis tools for verification, analysis and comparison of engineered strains
- Developing tools for manipulation and analysis of NGS datasets
- Writing custom scripts for any of the above as needed
- Integration of tools into Ginkgo's software infrastructure
- Run existing analysis software and scripts as needed, while keeping excellent records
24
Bioinformatics Analyst Resume Examples & Samples
- Perform statistical analyses of ‘omics data, including genome-wide genetic variation, DNA methylation, and RNA sequencing data
- Perform statistical analyses to integrate multiple ‘omics data types concurrently
- Implement standard and newly developed software for quality control and statistical analyses
- Support the management of ‘omics data from study investigators as well as publically available resources
- Contribute to designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
- Assist with the preparation of scientific conference abstracts and peer-reviewed manuscripts
- Assist with submission of grant proposals
- Master’s degree in Bioinformatics, Statistics, Genetics, Computer Science, or related discipline (May 2017 graduates will be considered) Applicants may be required to show transcripts
- Experience managing and analyzing large biological system databases such as genome wide methylation expression or genotype data
- Knowledge of bioinformatics tools and resources (e.g., ENCODE, Roadmap Epigenomics)
- Proficiency with scripting (e.g., Python, Perl, C++) and programming languages (e.g., R, SAS) and with working in a Linux/Unix environment
- Experience with data storage, retrieval, and data mining for complex data sets is preferred
- Experience with cluster and/or cloud computing
- To qualify, applicants must be legally authorized to work in the United States and not require sponsorship now or in the future
25
Bioinformatics Analyst Resume Examples & Samples
- Analyze sequencing data, for example from RNAseq and CHIPseq experiments
- Deploy existing programs and algorithms to evaluate other experimental data generated in our labs (e.g., drug synergy experiments, chemical screens, CRISPR screens)
- Provide support for basic computational tasks in the lab
- Document methods for reproducible analysis
- Report data and analytical methods in oral and written formats
- Participate in all lab meetings and department meetings at DFCI and Broad Institute
- Experience in computational biology applications
- Experience working in a scientific or medical research setting
- Bachelors degree required, advanced degree preferred in bioinformatics, computer science and/or the life sciences
- Familiarity with coding in R (or other similar languages)
- Experience with big data
- Experience with data summary visualization
- Strong organizational techniques, including the ability to handle a variety of tasks in a fast paced environment
26
Bioinformatics Analyst, Imaging / HCA Resume Examples & Samples
- Possession of a Bachelor’s degree in a relevant field (e.g., Biomedical Science, Life Sciences, Engineering, Mathematics, Informatics, etc.) from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or four (4) years of experience in lieu of degree
- A minimum of two (2) years of progressively responsible, relevant experience
- Must be able to obtain and maintain a Security Clearance
- Function independently in a highly complex, fast-paced research laboratory, requiring originality and judgment,
- Collect imaging data on microscopy and slide scanning platforms,
- Evaluate the suitability and quality control of both primary data and computational methods using control and calibrator values, and
- Convert digital image data to quantitative, graphic outputs using, among others, Definiens and Spotfire Software
- Robotics and other methods for high-throughput collection or analysis of images and metadata,
- Database administration or development (SQL required),
- Software integration with instrumentation,
- Development or enhancement of in-house or third party computational tools,
- Handling large data sets, and
- Methods for storing, analyzing, and dissemination of image information
- Certified training in Image Analysis, High Content Analysis, or Confocal Microscopy
- A minimum of four (4) years related experience in a laboratory environment with at least two (2) years direct experience in confocal microscopy and at least two (2) years direct experience in quantitative image analysis. Evidence of performance by publication in a refereed scientific journal
- Experience in analysis of human tissues and cytology using multiplex fluorescence microscopy
- Familiarity with tissue processing and immunostaining methods
- Expertise with Nikon Elements, Definiens, and Spotfire software
- Working knowledge of oncology at the laboratory research level
- Knowledge of GLP and HIPAA regulations
27
Senior Bioinformatics Analyst Resume Examples & Samples
- Basic knowledge in statistics; mastery of at least one scripting or programming language including Python, Perl, Shell scripting, C/C++, Java; interest in computational analysis of biological data and its application to improving diagnostics and therapeutics
- Experience in analyzing biological data and evidence for completion of projects in genomics or computational biology preferred
- The ideal candidate will have experience with analyzing genetic data and genomic data sets, a solid knowledge of sequence analysis and visualization, gene regulation, and annotation approaches and concepts
28
Bioinformatics Analyst Resume Examples & Samples
- Work directly with the lead of the Mendelian Genetics group at the Regeneron Genetics Center (RGC) to provide bioinformatics support for family-based analyses, implement existing analytical tools, and develop novel algorithms for genetic analyses at the RGC
- Interface with Translational Genetics team members to provide day-to-day bioinformatics support to implement analytical strategies for genetic studies
- Interface with Translational Genetics team members to provide intuitive and interpretable graphical representations of primary data and results from genetic analyses
- Survey the literature for methodologies of data analysis, manipulation, and representation. Integrate such methodologies into study opportunities and internal considerations to facilitate the studies performed at the RGC
- Incorporate multiple data sources from publicly available and other databases to inform on potential genes of interest derived from the Translational Genetics group studies
- Interface with members of other RGC teams including analytical genetics, clinical informatics, functional modeling, and genome informatics teams at the RGC to facilitate genetics projects
- Assist in the preparation of scientific presentations, manuscripts, and reports, including the preparation of tables, figures, and graphs depicting research results
- Communicate and report study findings and analyses with colleagues within the RGC, Regeneron scientists and colleagues, and external collaborators
- Proficiency in the Unix/Linux command line interface and environment
- Proficiency in at least one scripting programming language (preferably Perl and/or Python)
- Proficiency in at least one statistical programming environment (preferably R)
- Strong aptitude in mathematics and statistics
- Experience in development of computational algorithms, preferably applied to the biological sciences; documented experience in algorithm development is desirable
- Familiarity with NGS sequencing technologies and genomic data analysis tools and algorithms. Familiarity with other omics platforms and technologies (i.e. SNP-chip genotyping, Sanger and targeted sequencing, RNAseq, microarrays, etc)
- Familiarity with genomic and biological information databases (e.g. OMIM, ClinVar, HGMD, ExAC, ESP), functional genomics resources and browsers (e.g. UCSC Genome Browser, Ensembl, GTex), and mouse and other model organism databases (e.g. MGI, ZFin, Flybase)
- Ability to competently aggregate and synthesize results and information; and to provide clearly interpretable representations of complex data sets
- Excellent oral and written communication skills; documented skills in communicating scientific findings is desirable
- Enthusiasm and eagerness to learn, work with others, and support analyses in a big team environment; strong work ethic
29
Bioinformatics Analyst Resume Examples & Samples
- A Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in Computer Science, Biostatistics, Bioinformatics or four (4) years of related experience in lieu of education
- A minimum of two (2) years of progressively, responsible relevant experience as designated by the program requirements
- Proficiency in at least two of the following programming languages: Perl, Python, Shell scripting, R, MatLab, C, C++, Java
- Experience in developing and maintaining LIMS in a clinical laboratory setting
- Hands-on experience with analysis of NGS data: data QC; alignment and assembly; variant calling; identifying differentially expressed genes
- Running, maintenance and adjustment of pipelines
- Tracking of work through project management programs
- Experience in at least three of the following areas: metagenomics, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray data analysis
- Experience in the design and development of databases to store large-scale biological data
- Experience in the development of pipelines to automate the processing of large-scale biological data
- Ability to be organized and keep detailed and accurate documentation
- Masters in Life Sciences, with significant quantitative skills, is required
- Experience working in a CLIA/CAP environment
- Prior experience with the Clarity LIMS application
- Experience in working in both a research and production environment
- A solid understanding of biology, cancer and the molecular basis of human disease
- Previous experience working in a HPC environment
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Bioinformatics Analyst Resume Examples & Samples
- Perform data analysis on genomic data from Bionano, NGS, and other high-throughput platforms (microarray, aCGH, physical/genetic mapping etc.)
- Extract features of interest from data relating to specific biological questions
- Assist in analysis pipeline and algorithms development and validation, and provide written documentation
- Contribute to presentation of methods, results, conclusions, and recommendations
- Work closely with Research and Development on internal and external projects
- M.S. in statistics, bioinformatics, genomics or computational biology
- Experience with one or more of the following: Python, Perl, and R
- Knowledge in basic biological processes and genomics
- Working knowledge of laboratory protocols relevant to sequence analysis
- Ability to multi-task and shift priorities according to company needs in a fast-paced environment
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Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, statistics, genetics, computational biology or related field
- A minimum of two (2) years of progressively responsible scientific and/or complex system management/bioinformatics experience
- Hands-on experience in processing and analyzing sequencing, genotyping, expression and other data utilizing bioinformatics tools is essential
- Strong knowledge required of genetic association analysis and interpretation, and applied computational research on large multivariate datasets
- Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source bioinformatics tools and database structures (e.g. PLINK, SNPTEST, GLU, IMPUTE2, BEAGLE, UCSC Genome Browser, etc.)
- Team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources
- Ph.D. in bioinformatics, computer science, computational biology, or related field
- Familiarity with publically available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX) and diverse genomic annotations
- Experience in the field of molecular and population genetics with a strong publication record
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Bioinformatics Analyst Resume Examples & Samples
- Experience in computing in a Linux/Unix environment
- Experience in at least 1 scripting language such as perl, python, or shell scripting
- Willingness and capability to share knowledge with other members of the team
- BS or MS in Bioinformatics, Biostatistics or Statistics with a cancer biology background
- Experience in Cancer Informatics
- Experience with high-dimensional data mining and machine learning
- Experience working in an academic or health care computing environment
- Ability to solve complex bioinformatics problems
- Familiarity with software versioning tools
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Bioinformatics Analyst Resume Examples & Samples
- Master's or PhD in bioinformatics, computer science, statistics, and/or the life sciences. Previous experience in molecular biology, genomics, or cancer biology is ideal
- Experience in computer programming for data analysis
- Experience performing statistical analysis on large data sets is preferred
- Specific technical experience that would be useful includes knowledge of Python, Java, and/or R
- Interest and experience in data visualization and data illustration would be useful
- Excellent communication and effective problem-solving skills; and ability to interact with multidisciplinary staff in a fast-paced environment. The successful candidate should be able to work independently, prioritize and manage a variety of tasks, and shift priorities rapidly
34
Bioinformatics Analyst Resume Examples & Samples
- Large-scale genomic and phenotypic data manipulation and analysis
- Bioinformatics analysis of large genomic datasets
- Utilize and test new and existing bioinformatics methods
- Build analytical modules for bioinformatics workflows
- Bachelor’s degree in Bioinformatics, Computational Biology, Statistics, Computer Science, Applied Mathematics, Molecular Biology or closely related fields with a focus on applications of next generation sequencing (NGS)
- Strong computer skill with working knowledge of at least one programming language, preferably Python
- Comfortable in a Linux environment
- Demonstrate outstanding personal initiative and the ability to work effectively as part of a team
- Collaborate with diverse scientists from computational and experimental background
- Demonstrates excellent verbal and written and communication skills
- Master’s degree in Bioinformatics, Computer Science or related field
- Experience working in cloud environment, Amazon Web Services (AWS) preferred
- Relevant internship experience
- Experience working with source control systems
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Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor’s degree (Masters or PhD degree preferred) from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/math/computer related field or four (4) years related experience in lieu of degree
- A minimum of four (4) years related experience in a biological research laboratory environment with a strong background in bioinformatics application development
- The candidate must possess experience in genomic and sequence analysis such as RNA-seq, Exome-seq, Chip-seq and metagenomics analysis, construction of data processing pipelines, and quality control/quality assurance analysis
- Hands-on experience in next generation sequencing analysis, including data quality assessment, sequencing data assembling, mapping, variant calling, and expression analysis
- Proficiency in Unix/Linux scripting, and programming languages such as PERL, python, R, Java, and hands-on experience with commercial and open-source bioinformatics and NGS data analysis tools is required
- Experience in NGS sequencing technology and molecular biology
- Experience using high performance computing systems for NGS analysis
- Experience in data integration and application development
- Familiarity with publically available data sources such as ENCODE, Ensembl, NCBI, TCGA, 1000 Genomes, etc
- Proven success in independent efforts and delivering high quality data with biological relevance in a team environment
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Bioinformatics Analyst Resume Examples & Samples
- Proficient in Unix, with experience R, Python or Perl
- Background in statistics is preferred
- Familiarity with software versioning tool
37
Genome Bioinformatics Analyst Resume Examples & Samples
- Curates disease, gene, and variant knowledge. Helps implement curated knowledge, resources, and workflows into clinical operations
- Designs and executes clinical validation studies to assess diagnostic test performance
- In consultation with laboratory staff, physicians and genetic counselors, participates in the review of patient results and develops interpretations for clinical reports
- Maintains SOP documentation of NGS bioinformatics pipeline
- Maintains data analysis pipelines, monitors quality metrics and analyzes data sets
- Participates in clinical test development as needed. Evaluates novel platforms and techniques in DNA sequencing, genotyping, and copy-number variation in order to assess suitability for diagnostic application
- Participates in developmental and clinical research projects, as needed
- PhD in molecular biology, human genetics, bioinformatics, computational biology or related field
- MS degree may be considered with two or more years of relevant experience
- Strong experience with standard molecular genetics technologies and Next Generation Sequencing
- Clinical diagnostic experience preferred
- Statistical and bioinformatics skills are a plus
- Familiarity with commonly used databases (HGMD, ExAC 1000 genomes), and bioinformatics tools (samtools, IGV, ANNOVAR, GATK) and file formats (BED, VCR, FASTQ, BAM) preferred
- Strong analytical and organizational skills. Excellent written and oral communication skills
- Works effectively with an interdisciplinary team scientists, physicians, genetic counselors
- Attention to detail is critical
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Senior Bioinformatics Analyst Resume Examples & Samples
- Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training
- Thorough knowledge of SQL Server database systems. Proven ability to effectively design and create database tables, indexes, triggers, and other database structures
- Demonstrated experience using scripting languages such as Perl to download data from disparate sources, process/integrate data, and upload/update database data is required
- Demonstrated experience developing and maintaining web-based database applications using PHP, Perl, Java, HTML, XML, Javascript, CSS, etc
- Substantial experience working with and understanding high-throughput genomic and epigenomic sequence data such as from DHS-seq, ATAC-seq, ChIP-seq assays and associated data formats
- Demonstrated experience working with and understanding large-scale genetic data such as VCF format and genotype imputation. Demonstrated experience with version control software and processes, such as CVS, SVN, GIT, in a UNIX environment
- Communication skills to work with both technical and non-technical personnel in many fields of expertise and at various levels in the organization. Excellent oral, written, and verbal communication skills. Ability to communicate clearly and tactfully with a variety of other technical staff and non-technical users. Skill in preparing presentations
- Proven ability to develop tools and scripts in scientific programming languages
- Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem-solving skills
- Prior experience working with AWS or related cloud services
- Masters/PhD degree in bioinformatics, genetics, biology, computer science or related field
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Bioinformatics Analyst Resume Examples & Samples
- Establish processes to handle business requests to the Enterprise Analytics Omics Initiative efficiently and effectively
- Helps guide and assist in the creation of data standards for the Enterprise Analytics Omics Initiative
- Investigate variances in data consistency and integrity and assist in provide technically sound solutions; Implement and monitor effectiveness of these solutions
- Maintain documentation of existing issues, fixes and progress
- Manage routine and special projects which may require oversight of other departments work and coordination of a wide variety of functions
- Meet deadlines and turnaround times set by managers and department director (these deadlines and turnaround times will, at times, require the employee to work until the project is completed, meaning extended daily work hours, extended work weeks, or both)
- Provide guidance to peers and serve as reference point for questions
- Ph.D. or M.S. degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or related fields
- Extensive related experience will be considered
- Minimum of 5 years experience in bioinformatics and/or systems analysis. Experience in health care related industries preferred, but those with relevant experience in other industries will be considered
- Superior computer skills are given: Programming experience in Java, C/C++, Python, R, and Perl; Scripting proficiency in Unix/Linux; Experienced in querying various databases (SQL) and operating various bioinformatics tools
- Experience in next generation sequence analysis, including whole genome/exome analysis, RNAseq and gene expression analysis
- Experience in analysis of large multi-dimensional genomics datasets
- Experience working in an HPC environment
- Experience in cancer biology preferred
- Experience in developing computational pipelines and algorithms for genomic analysis desired
- Knowledge of basic statistical techniques and packages such as R/SAS/MATLAB
- Person must demonstrate a high degree of professionalism, enthusiasm, and initiative on a daily basis. Ability to work in a fast-paced environment is a must
- Will need to manage multiple tasks and projects, and forge strong interpersonal relationships within the department, with other departments, and with external audiences
- Attention to detail is critical to the success of this position, with demonstrated competency in customer orientation and the ability to deal with ambiguity
- Excellent planning, communication, documentation, organizational, analytical, and problem solving abilities
- Ability to interpret and summarize results of various analyses in a timely and meaningful way
- Ability to effectively approach problem solving
- Ability to re-engineer processes to positively impact productivity in terms of timeliness and accuracy
- Knowledge and expert understanding of all products maintained by the UPMC Enterprise Analytics program, across all lines of business
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Bioinformatics Analyst Resume Examples & Samples
- Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, Ion S5, PacBio, MinION), microarrays, publicly accessible databases, and/or external collaborators
- Perform quality control, assembly, annotation, etc
- Integrate high-throughput data from multiple sequencing platforms
- Use a variety of bioinformatic tools and potentially develop new software applications to solve salient problems in the field of genomics
- Download, install, and benchmark open-source software packages from a variety of sources (GitHub, SourceForge, etc.)
- Assist staff scientists in summarizing research data, preparing posters, and/or presenting results via conference presentations, scientific publications, or project reports
- Attend internal meetings and teleconferences as well as external meetings with collaborators and stakeholders when deemed appropriate
- Assist with appropriate training of other personnel
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Bioinformatics Analyst Resume Examples & Samples
- O Bachelors degreein bioinformatics, computational and systems biology, mathematical, physical, or computer science required
- Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 0-2 years relevant experience
- O Processing and analysis of multiple forms of high throughput sequencing data including whole genome sequencing, global chromatin immunoprecipitation (ChIP-Seq), gene expression (RNA-Seq), and chromatin organization (Hi-Seq)
42
Biostatistics / Bioinformatics Analyst Resume Examples & Samples
- Implement current and emerging bioinformatics algorithms for analyzing data, and actively collaborate with the research community to provide information in a comprehensive and understandable manner that supports translational research
- Assist investigators in planning and design of experiments
- Perform raw data analysis, including next generation sequencing or microarray data sets, using the appropriate workflows, algorithms and statistical methods
- Evaluate investigator data using analytical platforms (i.e. GeneSpring software) and publicly available data sets (i.e. GEO, TCGA, HapMap)
- Maintain accurate records and track a large number of samples
- Interprets analyses and writes statistical sections of study reports
- Prepare, document and test required programs and procedure data displays in an efficient manner for inclusion in integrated clinical, statistical reports and other similar reports
- Communicates computational biology principles and concepts to faculty and staff
- Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental design and assisting investigators with submission of manuscripts and/or grant applications
- Establish and manage an analytical pipeline for data analyses, and generate workflows in scripting languages to automate bioinformatics processes
- Stay abreast of current and emerging technologies and tools related to the field by interacting with local and external computational biologists, as well as attending scientific conferences and/or workshops related to bioinformatics
- Provide educational and informational seminars to the Madigan investigator community about bioinformatics and available tools and resources
- Assist investigators in developing an appropriate experimental design, with adequate statistical power
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Bioinformatics Analyst Resume Examples & Samples
- Utilize existing pipelines to process and analyze high-throughput sequencing data, including bisulfite sequencing data
- Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data
- Construct phylogenic trees
- The individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses. Must have experience using existing software tools and modifying R scripts. Should be able to generate figures, and some statistical analyses. The lab routinely uses barcoding primers for multiplex NGS runs which require demultiplexing and analyses
- Bachelors degree and at least one year experience with a strong focus on computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable
- The candidate must have expertise in R or Python
- Develops effective relationships with peers, students and employees
- Assumes responsibility to ensure issues/concerns will be addressed and monitors them through conclusion
- The individual will work with and report directly to Dr. Robert D. Burk, Principal Investigator of the lab. He will also work with other lab members generating NG sequencing data
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Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a field related to biomedical science/bioinformatics/math/statistics/computer
- A minimum of two (2) years related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
- A minimum of five (5) years related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development
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Bioinformatics Analyst Resume Examples & Samples
- Develop scientific software for imaging and visualization applications using common programming language such as C/C++, JavaScript, and Python
- Translate requirements, implement and develop imaging and visualization related algorithms into applications and workflow using tools such as ITK, OpenCV, and other open source imaging libraries
- Maintain, develop, and document imaging and visualization software and computational infrastructure
- Work in a team to facilitate efficient usage of computational and hardware resources such as PACS, databases, digital archives, etc
- Possession of a Bachelor’s degree in computer science or electrical engineering from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education)
- Ability to multi task and prioritize workload to meet established goals
- Strong C/C++ programming and debugging skills
- Must be able to obtain and maintain a security clearance
- M.S. in Computer Science, Electrical Engineering, or related field is highly preferred
- Experience with Machien Learning and Deep Learning
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Bioinformatics Analyst Resume Examples & Samples
- Perform statistical analysis of omics datasets participate in research meetings. Utilize appropriate methods and keep up with the literature on rapidly evolving data analysis tool sets. Interpret results and communicate the results with researchers
- Assist in the management of large biological datasets and maintaining data analysis workflows as necessary for data analysis
- Document analysis workflows and methods for further report scientific publication in peer reviewed journals
- Experience with applying appropriate statistical and/or bioinformatics analyses to large molecular biological datasets
- Experience with the use of statistical packages in R and/or other scripting languages such as Perl, Python or Matlab
- Experience in statistical concepts related to biomedical applications
- Strong communication and writing skills in English
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Bioinformatics Analyst Resume Examples & Samples
- Responsible for providing bioinformatics support including the management and analysis of high throughput next-generation sequencing data from Illumina, PacBio, and other NGS platforms
- Responsible for troubleshooting instrument run issues, data processing issues, and sample performance issues
- Responsible for operating vendor provided and in-house data analysis pipelines that include data processing, QC, mapping, assembly, base modification, transcript profiling and splicing analysis, and SNPs/INDEls as well as large structural variation discovery for data from next-generation sequencing technologies
- Expand and develop analysis workflows and pipelines as new capabilities come online
- Provide biological interpretation of analysis results and present results to project teams
- Possession of a Bachelor’s degree in biomedical science/bioinformatics/math/computer related field from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education)
- A minimum of two (2) years related experience in a biological research laboratory environment with a strong background in bioinformatics application development
- Hands-on experience in next generation sequencing analysis, including data quality assessment, sequencing data assembling, mapping, mutation and structural variation analysis, gene/transcript profiling and splicing analysis
- Hands-on experience with commercial and open-source bioinformatics and NGS data analysis tools is required
- Highly collaborative, self-motivated and team oriented
- Master’s degree or PhD preferred
- Familiarity with publicly available data sources such as ENCODE, Ensembl, NCBI, TCGA, 1000 Genomes
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Bioinformatics Analyst Resume Examples & Samples
- Imaging analysis experience, preferred if related AD or neurodegenerative disease in general
- Familiar with MATLAB, linux
- Preferred if the person knows SPM, Free-Surfer, AFNI and other neuroimaging analysis packages
- Know statistics well (R, SAS, matlab, SPSS)
- Participates in cross-functional teams and/or leads projects with regional or enterprise-wide scope to implement system changes. This may also include providing oversight, change management, general work direction or leadership to individuals on team. Conducts regular meetings with stake holders and uploads necessary documents to the SharePoint site
- Performs analysis of customer needs. Manages and supports the identification and research of new developments and uses of current systems and applications, as well as upgraded systems and applications to meet customer needs. Data may include, but are not limited to; online applications, electronic forms, moderate to complex reports
- Serves as a liaison and expert resource for displaying of data in reporting, and availability of data
- Maintains optimal operation of departmental reports in partnership with IT or external software vendor, as appropriate. This may include leading the implementation, maintenance, testing and/or functional design
- Keeps current on industry, standards and regulatory/compliance issues within assigned areas. Provides system and reporting consultation on these issues to customers
- Creates presentations and/or reports for management involving significant analysis of multiple or complex data sources
- Develops interrelationships among partners and customers who might have similar information needs and manages those relationships to assure effective solutions
- Write queries using SQL and develop reports
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Senior Bioinformatics Analyst Resume Examples & Samples
- Coordinate and participate in management of research informatics implementations in a multi-disciplinary team including research coordinators, clinician-investigators, managers and administrators, software developers, engineers, support and reporting staff, etc. on various aspects of a project
- Develop documentations for informatics solutions by studying information needs; conferring with users; studying systems flow, data usage, regulations and institutional policies and work processes; following the software development lifecycle
- Participate in all aspects of governance and compliance in the use of the systems, QA reporting to ensure institutional policies and procedures are adhered to and that data integrity is maintained
- Partner with subject matter experts (SME’s), managers, and technical leads to translate business requirements to technical specifications, and user stories for implementation
- Oversee and participate in training users and certification process for users, trouble shooting, and continued support and services for the user community
- Collaborate with team lead, managers, and supervisors in planning, designing, implementing, analytic reporting all research informatics applications
- Participate in implementing software modules using varieties of technologies: .Net, C#, ASPX, SQL, PL/SQL, REST/SOAP web services, JSON, XML, HTML, CSS, and JavaScript etc
- Document and demonstrate solutions by developing technical documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
- Design Database schemas; write SQL queries and PL/SQL procedures and packages in database systems such as Oracle, Sql Server etc
- Deploy and manage application on varieties of application servers
- Provide effort estimates for tasks and track progress of assigned tasks and if required, all project tasks
- Build automated tests to ensure quality of the software modules and minimize issues and bugs
- Address production issues, implement fixes to address them & work to prevent them in future
- Communicate effectively with technical and non-technical (internal) stakeholders
- Perform unit and integration testing, load-testing & performance testing when necessary to ensure stability and scalability of our websites. Translate product requirements into a technical implementation plan, using skills such as OOD, analysis of existing infrastructure, and research to select appropriate tools and technologies
- Excellent interpersonal and writing skills to communicate and document user interactions, requirements, design specifications, reports and scope of work
- Strong analytical skills to analyze, categorize and translate business/user requirements to functional requirements
- Strong presentation skills for user training and demonstrations
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Bioinformatics Analyst Resume Examples & Samples
- Possession of a Bachelor’s degree (Master’s Degree preferred) from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, statistics, genetics, computational biology or related field
- A minimum of five (5) years of progressively responsible scientific and/or complex system management/bioinformatics experience
- Familiarity with publicly available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX) and diverse genomic annotations
51
Bioinformatics Analyst Resume Examples & Samples
- A Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in Computer Science, Biostatistics, Bioinformatics (Additional qualifying experience may be substituted for the required education)
- Masters in Life Sciences, with significant quantitative skills
- Proficiency in at least one of the following programming languages: Perl, Python, Shell scripting, R, MatLab, C, C++, Java
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Bioinformatics Analyst Resume Examples & Samples
- The candidate must have experience working with genomic data and building genomic and bioinformatics pipelines
- The candidate must have demonstrated proficiency working in AWS and distributed computing environments
- The successful applicant must have strong programming skills: shell scripting, Python, C++, and Java are preferred
- Experience analyzing data on the order of tens of billions of records is a plus
- Strong organizational and interpersonal skills will be needed in our collaborative and fast-paced team
