Senior Staff Scientist, Data Science (Computational Biology & AI)
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our team 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. In this role, you will develop advanced computational and statistical methods to analyze large-scale biological datasets, enabling breakthroughs in proteomics, multi-omics, and translational research.
You will design and implement AI-driven models and data analysis workflows for complex biological systems, working closely with cross-functional teams of biologists, clinicians, and data scientists. This position offers the opportunity to contribute to high-impact scientific research, develop novel methodologies, and translate cutting-edge analytics into real-world scientific and clinical applications.
REQUIREMENTS:
Education & Experience
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
Technical Expertise
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.)
Scientific & Domain Expertise
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
Leadership & Collaboration
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)
Nice to Have
Experience with multi-omics integration and cohort-scale data analysis
Background in developing reusable data analysis frameworks or open-source contributions
Experience supporting customer-facing scientific applications or consulting on data analysis strategies
• Ability to travel up to 25%
• Remote work flexibility available
Compensation and Benefits
The salary range estimated for this position based in California is $163,100.00–$217,400.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Apply To This Job
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our team 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. In this role, you will develop advanced computational and statistical methods to analyze large-scale biological datasets, enabling breakthroughs in proteomics, multi-omics, and translational research.
You will design and implement AI-driven models and data analysis workflows for complex biological systems, working closely with cross-functional teams of biologists, clinicians, and data scientists. This position offers the opportunity to contribute to high-impact scientific research, develop novel methodologies, and translate cutting-edge analytics into real-world scientific and clinical applications.
REQUIREMENTS:
Education & Experience
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
Technical Expertise
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.)
Scientific & Domain Expertise
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
Leadership & Collaboration
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)
Nice to Have
Experience with multi-omics integration and cohort-scale data analysis
Background in developing reusable data analysis frameworks or open-source contributions
Experience supporting customer-facing scientific applications or consulting on data analysis strategies
• Ability to travel up to 25%
• Remote work flexibility available
Compensation and Benefits
The salary range estimated for this position based in California is $163,100.00–$217,400.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Apply To This Job