Assistant Computational Scientist | Lee Lab

Job Summary

The Jackson Laboratory invites applications for the position of Assistant Computational Scientist in the Lee Lab, located at The Jackson Laboratory for Genomic Medicine in Farmington, CT. Under the guidance of senior scientists, the successful candidate will engage in collaborative research aligned with our institutional strategy and direction. This role involves contributing to pioneering projects across various biomedical disciplines, including evolutionary and cancer biology, human genetics, aging, immunology, and stem cell & developmental biology. The Assistant Computational Scientist will support the research team and faculty in the Lee Lab, assisting interns, post-doctoral fellows, and scientists, as well as contributing to grant writing.

Successful candidates will have in-depth knowledge and experience in both short- and long-read High Throughput Sequence (HTS) data analysis, experimental design, data integration, algorithm and pipeline development, and programming skills in Python and/or R. They will also present research results to the JAX community, at conferences, and workshops. This role requires a proactive contributor who can work independently and as part of a team, providing overall project leadership, including project management, logistics management, scope definition, and collaboration management.

What You’ll Contribute

• Perform computational analysis of omics data, develop algorithms, and implement bioinformatics programming with minimal supervision.
• Evaluate data for quality assurance and mine bioinformatics databases.
• Present research findings at international conferences and workshops.
• Participate in team and research project activities, including developing pipelines, assisting students and scientists, and presenting results and processes to the JAX community and at conferences.

What You’re Good At

• A PhD in Bioinformatics, Computer Science, Biostatistics, or a relevant area is required. Candidates nearing the completion of their PhD are also welcome to apply.
• 0-2 years of bioinformatics research experience, excluding the duration of PhD studies.
• Excellent verbal and written communication, project management, and collaborative research.
• A proven ability to contribute effectively to team projects and a commitment to ongoing collaborative efforts.

Join the esteemed Lee Lab at The Jackson Laboratory for Genomic Medicine and be a part of our mission to advance scientific research and innovation. Apply now to make a significant impact in the field of computational biology!

Please submit a cover letter and resume/CV with your application

The salary range is $73,305 - $122,730. Salary will be determined based on qualifications and relevant experience.

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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 and China. 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 visit www.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.