Bioinformatics Analyst Job Description
Bioinformatics Analyst Duties & Responsibilities
To write an effective bioinformatics analyst job description, begin by listing detailed duties, responsibilities and expectations. We have included bioinformatics analyst job description templates that you can modify and use.
Sample responsibilities for this position include:
Bioinformatics Analyst Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Bioinformatics Analyst
List any licenses or certifications required by the position: CAP, CLIA
Education for Bioinformatics Analyst
Typically a job would require a certain level of education.
Employers hiring for the bioinformatics analyst job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Bioinformatics, Computer Science, Education, Computational Biology, Biostatistics, Biology, Genetics, Biochemistry, Statistics, Computer
Skills for Bioinformatics Analyst
Desired skills for bioinformatics analyst include:
Desired experience for bioinformatics analyst includes:
Bioinformatics Analyst Examples
Bioinformatics Analyst Job Description
- Review output of development to ensure specified acceptance criteria has been completed
- Assist with training, communication and documentation efforts
- Develop test cases and perform system testing activities, as needed
- Assist with user acceptance testing to ensure correct functionality of deliverables
- Assist support staff in triaging issues and coordinate resolution as needed
- Prioritize the impact of defects, including providing key input on the decisions to fix or defer
- Document business processes and user flows
- Provide direction and support to development, quality assurance, and validation teams
- Promote Agile development methodology throughout the work and teams
- Contribute to the development of the quality control pipeline for isolate genomes, single cells and genomes from metagenomes
- Understand fundamentals of data structures, databases and software engineering
- Work with Product Management and subject matter experts to gather requirements and ensure they get implemented
- Positive, teamwork-oriented attitude to collaborate with technical product management personnel to balance differing opinions and make the right decisions
- Use a state-of-the-art bioinformatics platform that will include both collecting and housing the 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
- Provide support for the New Lineages of Life project, including development of distance-based phylogenomic methods and curation of reference genome-based phylogenies
Bioinformatics Analyst Job Description
- Organize and curate a database of 16S rRNA genes derived from metagenomic data and establish a pipeline for clustering, phylogenetic placement and taxonomic assignment of new sequences as new metagenomes are added
- Implement an automated pipeline for extraction of High Quality genomes from metagenomes
- Familiarity with relational and graph databases
- Support the management of ‘omics data from study investigators publically available resources
- Develop and implement bioinformatics tools to support clinical laboratory testing applications and research informatics projects
- Perform data mining and data analysis by utilizing bioinformatics analysis tools and methods
- Practice in-code documentation, unit testing and version control to ensure high quality software development
- Provide Bioinformatics/Biostatistics support to colleagues in Research and Development and Clinical Resarch departments within Monogram and external collaborators
- Analyst is expected to exercise independent judgment in developing and modifying methods and techniques for solving problems
- May be responsible for conducting complete projects of moderate scope or portions of larger projects
- Possess familiarity with Agile/Scrum software development process and is capable of acting in the capacity of a scrum product owner, understands the project development priorities and is able to manage/groom the JIRA story backlog, from sprint to sprint
- Experience in bioinformatics and computational biology methods and tools for next-generation sequencing, genome/metagenome assembly and annotation
- Proficiency in bioinformatics tools for sequence similarity search, multiple sequence alignment, profile search, clustering and phylogenetic analysis is required
- Excellent written and oral communications skills and ability to collaborate and work as part of a large multidisciplinary team
- Good knowledge of microbial taxonomy
- Familiarity with high-performance computing
Bioinformatics Analyst Job Description
- Assist in designing and developing new databases to store including VCF, BAM, gene expression, fusion gene and other genomics data files
- Maintain and improve existing databases in the lab
- Perform data analysis on genomic data from Bionano, NGS, and other high-throughput platforms (microarray, aCGH, physical/genetic mapping )
- Curates disease, gene, and variant knowledge
- Participates in clinical test development as needed
- We are seeking highly motivated and enthusiastic computational individuals who will work within an interdisciplinary team comprising computational scientists, data scientists, bioinformaticians, physicians, and biomedical scientists on immune-related projects in cancer
- Staying abreast with best practices cutting-edge data analysis from recent publications
- Conducting data transformation, quality analysis, scientific analysis and interpretation that meets quality needs of peer review publication
- Providing researchers and collaborators with data, analysis protocols, figures, method descriptions, code, documentation and anything else that might be needed
- Presenting the scientific content in a suitable internal or external forum
- Examples of past projects that involved designing, programming, and documenting genomics related software
- Examples of past projects analyzing and integrating large collections of biological sequence data
- Experience with relational and NoSQL databases such as Oracle, PostgresSQL, MongoDB
- Loves to write elegant code (please provide a link to any publically available code when applying)
- BS/MS in bioinformatics, computer science, biology or related science
- Familiarity with software and hardware platforms and bioinformatics tools
Bioinformatics Analyst Job Description
- Members of SCGPM team are expected to participate in activities that are important to the Center mission collaborator’s mission
- Observing highest standards of customer interaction
- Following compliance requirements
- Training researchers
- Participation in conferences, arranging seminars, attending annual retreats and other academic events as necessary
- Evaluate investigator data using analytical platforms
- Stay abreast of current and emerging technologies and tools related to the field by interacting with local and external computational biologists, attending scientific conferences and/or workshops related to bioinformatics
- Provide next-generation sequencing data curation and management of Illumina sequencing data generated by the MSKCC Integrated Genomics Operation core facility
- Develop new and utilize existing software and database systems to track specimen information, experimental parameters, and performance metrics
- Perform next-generation sequence data analysis
- Proven ability to design, develop, debug, and profile software
- Experience working in Unix/Linux shell scripting
- Solid understanding of DNA Sequencing data analysis
- Knowledge of database structures and platforms (particularly ORACLE and MySQL)
- Experience in database query and stored procedures is a plus
- Highly motivated, self-driven and detail oriented
Bioinformatics Analyst Job Description
- Fully investigate any abnormalities in generation of high quality next-generation sequencing data, identify potential deviations from standard operating procedures, and offer solutions to stake holders
- Participate in feature design and best practice work flows of the existing Laboratory Information Management System (LIMS)
- Provide bioinformatics support for the evaluation of new sequencing platforms and/or applications
- Manage, organize all bioinformatics sequencing data in the lab
- The individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses
- Manage studies by planning, assisting with study design, developing statements of work and analysis plans, monitoring progress, evaluating data quality, analyzing data, validating results, and seeking ways to improve workflow
- Contribute to the development of protocols and statistical analysis plans
- Provide support of research activities through data analyses, statistical modeling, reporting, and communication of results
- Collect and analyze data—which may include observations, retrospective medical record data, interviews, surveys, and samples—to find disease mechanism or other health issues
- Communicate findings to health practitioners, policymakers, and the public
- Strong analytical, problem-solving, and conceptual skills solid teamwork and interpersonal skills are required
- 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
- Possession of a Bachelor’s degree in a relevant field (e.g., Biomedical Science, Life Sciences, Engineering, Mathematics, Informatics, ) 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
- MS in Bioinformatics, Biomedical Engineering, or Science
- 4+ years of bioinformatics and programming graduate level experience
- Knowledge of bioinformatics methods and tools, including strong working knowledge of R (Bioconductor), working knowledge of and formal (documented) training in data mining and systems biology software tools – for example, Bayesian Lab, Pathway Studio, and Ingenuity Pathway and Variant Analysis