Computational Biology Job Description
Computational biology
provides oncology data analysis and computational biology support to identify disease mechanisms, mechanism of action for therapeutic interventions, and candidate biomarkers for the Oncology TA.
Computational Biology Duties & Responsibilities
To write an effective computational biology job description, begin by listing detailed duties, responsibilities and expectations. We have included computational biology job description templates that you can modify and use.
Sample responsibilities for this position include:
As Scientist you translate results from our bioinformatics pipelines (NGS mRNASeq, Target Reporting, Gene Prioritization, ) into new therapeutic concepts, biomarkers and improved drug discovery screening strategies
Design, maintain and execute automated and interactive test suites for Bioinformatics Toolbox
You establish and develop new analysis strategies in areas such as single cell RNA-Seq, cell deconvolution, DNA methylation
You take part in infrastructure development by implementing analysis modules/pipelines
Integration, analysis, and communication of multiple data sources
Participate in feature design and code reviews
Develop test plans and test procedures based on functional and design specifications
Find, report, and qualify product bugs using an in-house bug tracking system
Participate in project teams, bringing structural biology expertise to bear on
Oversee junior computational biologists within the labs and the developing center
Computational Biology Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Computational Biology
List any licenses or certifications required by the position: DFCI, CLASP
Education for Computational Biology
Typically a job would require a certain level of education.
Employers hiring for the computational biology job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Biology, Statistics, Mathematics, Medical, Chemistry, Science
Skills for Computational Biology
Desired skills for computational biology include:
Contemporary database structures
Python
Regression analysis
Bioinformatics
Linear/nonlinear mixed effects modeling
Multivariate data analysis
Computational biology
Current key datasets
Therapeutic landscape and demographic/epidemiological considerations within TA
Drug discovery and development process
Desired experience for computational biology includes:
At least 1 year experience in technical writing preferred
Experience working with large scale genomic data
Demonstrated proficiency in programming languages
Demonstrated proficiency in analytical languages
Expertise in methods pertinent for functional interpretation of -omics data, pathway enrichment, functional module detection, causal reasoning is preferred
Experience with microbiome software
Computational Biology Examples
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Computational Biology Job Description
Job Description Example
Our innovative and growing company is hiring for a computational biology. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for computational biology
- Develop new and/or deploy existing programs and algorithms to evaluate other experimental data (e.g., drug synergy experiments, chemical screens, CRISPR screens)
- Provide support for advanced computational tasks in the lab
- Organize, curate, process, and analyze transcriptomics and related data to impact understanding of disease
- Leverage computational skills to improve speed and outcomes of analyses
- Act as an ambassador also for other technologies in Target Discover Research (TDR)
- Backtranslating core Target Product Profiles into concrete New Therapeutic Concepts plans
- Act as an ambassador also for other technologies in Target Discovery Research (TDR) (e
- Estimating HLA genotypes (HLA imputation) (HIBAG software)
- Testing HLA alleles, amino acid residues and molecules for association with younger age at onset in multiple sclerosis patients (linear regression in R)
- Conducting a genome-wide association study (GWAS) for a continuous phenotype (age at onset) for multiple sclerosis (linear regression using PLINK software)
Qualifications for computational biology
- Other high level programming
- Must be legally authorized to work in the United States and not require future sponsorship for employment visa status
- Ability to program in Python and R, with knowledge of MATLAB and/or Java a plus
- Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals
- Proficiency with classification and machine learning methods is preferred
- Strong R programming skills are required
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Computational Biology Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of computational biology. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for computational biology
- Creating a multiple sclerosis genetic risk score from HLA and common genetic variation in the multiple sclerosis patients, and testing the genetic risk score for association with younger age at onset
- Assists faculty in the development of new statistical methodology for
- Perform statistical analysis, clustering, and classification
- At conclusion of the internship, the intern will present data findings and analysis to internal teams
- Implement existing and new models in R Shiny web framework
- Document technical details of the work to facilitate collaboration with other teams
- Enable communication of quantitative modeling results across cross-functional teams of clinicians, scientists and business development
- Create dynamic visualizations within R Shiny web-based dashboard
- Participate in scientific research discussions
- Develop new protocols for disassociation, preservation and sorting of clinical patient tissue from multiple cancer types including breast, lung, skin, ovarian, brain, blood and other cancer types
Qualifications for computational biology
- Experience with BioConductor is preferred
- Strong next generation sequencing analysis experience is required
- Working experience in Unix/Linux environment is required
- Other high level programming (Java, C++, ) and database
- Oncology experience, preferably in the myeloma disease setting, is required
- Experience with clinical data preferred
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Computational Biology Job Description
Job Description Example
Our company is growing rapidly and is looking for a computational biology. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for computational biology
- Develop and benchmark predictive models, apply bioinformatics and protein structure knowledge to formulate and test hypotheses to guide antibody engineering
- Teach computational systems biology approaches and bioinformatics in graduate student level lectures
- Develop and run single-cell assays, including library preparation and robotic handling for RNA-Seq
- Participate in projects to collect large-scale single-cell datasets from clinical samples in collaboration with clinical trial teams
- Develop novel biological assays in combination with droplet microfluidics
- Automate library preparation protocols and increase throughput using robotic handling of stable assays
- Test and develop new reagents and protocols of general interest for the laboratory, if required
- Provide mentorship and guidance to group members people in other departments
- Apply and develop computational pipelines to run genome-wide association studies, analyses of large scale genome sequencing data, and perform phenome-wide association studies
- Work with datasets from large-scale biobanks
Qualifications for computational biology
- Excellent communication skills and track record of relevant peer-reviewed publications requiredR&D
- PhD in Agronomy or Horticultural Sciences, with an emphasis on applying computational tools and strategies
- Knowledge of common software platforms and databases for statistical, genetic and genomic discovery
- Position will be based in St
- Must be willing to travel up to 25% of the time both domestic and International
- Must be willing to flex work schedule to accommodate video and phone conferences across multiple time-zones as an alternative to travel
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Computational Biology Job Description
Job Description Example
Our innovative and growing company is looking for a computational biology. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for computational biology
- Develop the bioinformatics-specific components of the TA strategy, work with TA leadership to understand the gaps and needs in new therapeutic concepts and PoCP plans (biomarkers), and drive the strategic use of bioinformatics and translational data to advance TA priorities
- Represents bioinformatics needs and priorities of the TA to the global computational biology (CB, communicates/translates TA strategy into CB organization to ensure proper resources and capabilities
- Performs high quality bioinformatics analysis in areas of own expertise, deliver results to TA project teams that addresses the gaps and impact team decisions, and contribute to other project teams where the expertise is appropriate and in need
- You will work with a mentor on the genomics R&D team to scope out and complete an impactful research project
- You will present your work to the team at the end of the internship
- Experience to work closely alongside a team of scientists with diverse background and expertise, using innovative approaches and technologies
- Enhance skillset through working with the real-world problem and challenges
- Networking opportunities with established professionals in field
- Interpret and present results and conclusions from complex data analysis using innovative visualization skills and effective communication to bring scientists with different background together and foster decision-making
- Work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs
Qualifications for computational biology
- Expertise in analysis, interpretation and applied computational research on large multivariate molecular profiling datasets
- Experience with mathematical kinetic modeling of dynamical biological systems
- Experience analyzing human and/or other organism datasets at scale
- Experience in machine learning, biostatistics, and sequence analysis
- Experience with relevant scripting tools
- Expertise in predictive pattern recognition applied to molecular profiling data and mathematical modeling of biological and disease processes demonstrated ability to interpret the output of such analyses in the clinical context, are required
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Computational Biology Job Description
Job Description Example
Our company is growing rapidly and is hiring for a computational biology. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for computational biology
- You generate results from computational biology analysis such as single cell RNA-Seq related algorithms, pathway analysis, biomarker analyses, gene prioritization
- You are also responsible for interfacing with collaborators in the ICL and BI experimental groups the ICL and BI computational biology groups
- Help design, develop, test, implement and maintain data pipelines that fulfill scientists’ requirements for complex analysis of high throughput data
- Automate Translation Medicine data pipelines and connect them to central NIBR repositories
- Consult and advise scientists regarding study design, data analysis requirements, data pipelines
- Ensure reports of data processing and analysis of data are accurate, understandable and acceptable for line functions
- Conduct competitive intelligence internally and externally, keeping data pipelines best in class and proactively suggesting new data processing techniques
- Plan, develop and conduct an innovative computational systems biology research program focused on identification of biological systems, processes and targets involved in the initiation and progression of neurodegenerative disease and the aging brain
- Apply a systems biology level approach to identify processes and targets common to neurodegenerative diseases and brain aging
- Develop and maintain research funding base consisting of federal and nonfederal funding sources
Qualifications for computational biology
- Functionally annotate diverse genomes and transcriptomes of non-model organisms
- Integrate these genomics data with other functional genomics resources, and
- Create novel visualizations and applications to communicate the knowledge that can be gained from these data
- Current graduate student enrolled at a university within the U.S. with plans to return to school upon completion of internship to continue program of study
- Possess a deep knowledge of R, statistics, one scripting language, and computational biology methods
- Programming experience in MATLAB or other scientific programming languages