Senior Staff Scientist, Data Science (Computational Biology & AI)

Join Thermo Fisher Scientific as a Senior Staff Scientist in Data Science (Computational Biology & AI), where you will drive innovation at the intersection of machine learning and life sciences, developing advanced computational methods for large-scale biological datasets.

Location: Remote (US)

Salary: $163,100–$217,400/yr

Responsibilities

• Drive innovation at the intersection of machine learning and life sciences.
• Develop advanced computational and statistical methods to analyze large-scale biological datasets.
• Design and implement AI-driven models and data analysis workflows for complex biological systems.
• Contribute to high-impact scientific research, develop novel methodologies, and translate analytics into scientific and clinical applications.

Requirements

• Ph.D. in Applied Mathematics, Computational Biology, Bioinformatics, Computer Science, or related field.
• 10+ years of experience in computational biology, bioinformatics, or data science in academia or industry.
• Proven track record of leading data analysis in large-scale, multi-omics or proteomics projects.
• Strong expertise in machine learning and statistical modeling, including deep learning (e.g., PyTorch) and Bayesian methods.
• Advanced programming skills in Python, R, and/or Julia, with experience in scientific computing and data analysis.
• Experience with large-scale biological data analysis, including proteomics, interactomics, or genomics datasets.
• Hands-on experience with cloud and high-performance computing environments (e.g., AWS, SLURM, Docker).
• Strong knowledge of data integration, statistical inference, and multi-modal data analysis.
• Familiarity with SQL and database systems (PostgreSQL, MySQL, etc.).
• Deep understanding of molecular biology, proteomics, or systems biology.
• Experience developing novel computational methods for emerging biological assays or experimental platforms.
• Track record of scientific publications in high-impact journals and contribution to scientific communities.
• Demonstrated experience leading projects and mentoring scientists or data scientists.
• Ability to define and communicate data science strategy to technical and non-technical stakeholders.
• Experience collaborating across interdisciplinary teams (biology, engineering, data science).

Benefits

• A comprehensive Total Rewards package including health insurance, PTO, paid holidays, parental leave, insurance, retirement plans, and stock purchase plan.

Additional Information

• Ability to travel up to 25%.
• Remote work flexibility available.