Clinical Bioinformatics Analyst I

The Jackson Laboratory•Farmington, CT

About The Position

Clinical Bioinformatics Analyst will work under the supervision of the Supervisor, Clinical Genomic Data Analytics and Reporting to analyze complex genomic data. Typical duties include but are not limited to: multi-omic data analysis (DNA and RNA sequencing, methylation profiling, array technologies, etc.); development of algorithms and analysis tools (bioinformatics programming); data integration; evaluation and implementation of software, analytical tools, and technologies; experimental design consulting; and documentation. Characteristic distinctions from level I to level III include increased ability to work independently, increased breath of bioinformatics knowledge and tools, and increased understanding of the biological research domains. Tasks are complex, but the incumbent has support of immediate supervisor or mentor for directional support during execution of work.

Requirements

MS degree in Bioinformatics or relevant biological sciences degree (PhD preferred).
Incumbents who have not achieved Master’s degree may compensate for lack of a degree with at least five years of professional bioinformatics work experience.
Background of Python and R
Deep experience in Linux bash shell
Familiar with HPC (prefer Slurm) and Cloud computing environment (prefer GCP)
Previous experience with workflow management tools (prefer Nextflow) and Docker/Singularity container
Familiar with script version control and documentation with Git (prefer GitHub or Azure DevOps)
BS degree in Bioinformatics or relevant biological sciences degree + five years of professional bioinformatics work experience or MS degree in Bioinformatics or relevant biological sciences degree
Experience with Java
Experience with algorithm development in areas such as machine learning, genomics, statistics
Experience in software engineering
Ability to read scientific literatures in fields related to current projects
Ability to lead projects / processes, working independently with limited supervision
Bachelor's degree
2 years

Nice To Haves

PhD degree preferable in computer science, bioinformatics, or a related field
Candidaes without experience in Java but with demonstrated ability to learn languages will be considered
Experience in other languages such as Python, Rust a plus
Knowledge of genetics is a plus
Doctorate degree

Responsibilities

bioinformatics programming
statistical analysis
algorithm implementation
running programs
packaging results for client
evaluating data for quality assurance
clinical data analysis and reporting
assisting in the development of requirements and testing for software, analytical tools, and technologies
Design, development, implementation, testing of novel algorithms and software for genomic analysis and diagnostics
Play a leading role in the development of such algorithms that can lead to publication
Integration with Exomiser development team
Presentation of algorithms and results in scientific conferences and publications