Clinical Bioinformatics Analyst I

Job Summary: 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.

Key Responsibilities & Essential Functions: bioinformatics programming; statistical analysis; algorithm implementation; running programs; packaging results for client; evaluating data for quality assurance; clinical data analysis and reporting; and assisting in the development of requirements and testing for software, analytical tools, and technologies. Tasks are complex, but the incumbent has support of immediate supervisor or mentor for directional support during execution of work.

Other Knowledge, Skills, and Abilities: Level I requires 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. Level I works under close supervision. Level III works independently with guidance from supervisor.

This job requires 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).

Key Responsibilities:

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.

Knowledge, Skills, and Abilities:

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. Works under close supervision.

PhD degree preferable in computer science, bioinformatics, or a related field

Experience with Java

Experience in other languages such as Python, Rust a plus

Candidaes without experience in Java but with demonstrated ability to learn languages will be considered

Experience with algorithm development in areas such as machine learning, genomics, statistics

Experience in software engineering

Knowledge of genetics is a plus

Ability to read scientific literatures in fields related to current projects.

Ability to lead projects / processes, working independently with limited supervision

Minimum Education Required: Bachelor's degree

Preferred Education: Doctorate degree

Minimum Experience Required: 2 years

Pay Range: $69,711 - $111,538

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.