Associate Computational Scientist - AI/ML
About The Position
The Jackson Laboratory (JAX) is seeking an Associate Computational Scientist to join the AI/ML group within JAX Data Science. In this role, you will apply and develop advanced artificial intelligence and machine learning methods to analyze imaging and multi-omics data across diverse biomedical research areas, including cancer, aging, longevity, and neurodegenerative disorders. You will collaborate closely with research faculty and Scientific Services to advance JAX's strategic priorities, including bridging human and mouse biology through cellular models. This is a remote position within the U.S. We welcome applicants from across the country. Candidates located near our Farmington, CT or Bar Harbor, ME campuses will have opportunities for occasional in-person collaboration, which is preferred but not required.
Requirements
- Ph.D. in Bioinformatics, Computer Science, Biostatistics, Machine Learning, or a related field.
- 2-5 years of experience in bioinformatics, computational biology, or related research, excluding time spent earning a Ph.D.
- Proficiency in Python required. Familiarity with Numpy and Pandas; R experience is a plus.
- Proven experience in image analysis. Additional experience in MRI and brain atlas is a plus.
- Familiarity with deep learning frameworks (TensorFlow/Keras and/or PyTorch); experience with generative AI is a plus.
- Hands-on experience with bioinformatics tools and single-cell RNA-seq analysis.
- Demonstrated knowledge of statistical tests and machine learning algorithms, including linear mixed models, SVM, random forest, and gradient boosting.
- Solid knowledge of Unix OS and version control systems.
- Ability to effectively present research findings at conferences and workshops.
- Proven track record of peer-reviewed publications and ability to contribute to grant proposals.
Nice To Haves
- Working knowledge of cancer, aging, longevity, or neurodegenerative disorders preferred.
Responsibilities
- Process and harmonize multi-omics and imaging datasets; analyze them using existing bioinformatics or AI/ML tools and adapt methods as needed.
- Develop new approaches for spatial omics analysis and multimodal data integration across species and cell models under supervision.
- Lead or contribute to multiple grant-funded projects, ensuring progress toward milestones with minimal supervision.
- Prepare reports and manuscripts for projects you lead and contribute to grant applications.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
