Thermo Fisher Scientific · 10 hours ago
Data Scientist, Computational & Mechanistic (onsite)
San Marcos, CA
Full-time
Onsite
Mid, Senior Level
$88K/yr - $116K/yr
3+ years expThermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. They are seeking a highly motivated Data Scientist with strong hands-on expertise in machine learning and mechanistic modeling to develop advanced hybrid modeling approaches for cell culture product development.
BioinformaticsBiotechnologyCloud Data ServicesConsultingHealth CareLife ScienceManagement Information SystemsOffice SuppliesPrecision Medicine
Responsibilities
Develop hybrid modeling approaches that integrate mechanistic models with machine learning to optimize cell culture media, improve media design success rates, and accelerate development timelines
Build intuitive, user-friendly interfaces for implementing the hybrid models and deploy web applications on AWS EC2
Collaborate with cross-functional teams to understand scientific and operational requirements and develop modeling solutions that optimize various aspects of the bioproduction workflow
Communicate results and insights effectively to interdisciplinary project teams and stakeholders
Provide training and mentorship to R&D scientists and junior data scientists, supporting skill development and adoption of modeling tools
Contribute to grant proposals and other funding initiatives to support new data science and modeling capabilities
Qualification
Required
Ph.D. in Computational Biology, Bioinformatics, Mathematics, Data Science, or related field
M.S. with 3+ years of industry or academic experience in mechanistic modeling, machine learning, or bioproduction applications
Experience in stoichiometric modelling of cell metabolism including metabolic flux analysis (MFA), flux balance analysis (FBA) etc
Demonstrated experience in mechanistic modeling, including development and application of first-principles models such as ODE/PDE-based, kinetic, mass-balance, or systems biology models
Proficiency in machine learning methods such as regression, classification, neural networks, ensemble methods, or Gaussian processes
Hands-on experience in building hybrid (mechanistic + ML) models and applying them to complex, data-driven problems such as bioprocess optimization, systems biology, digital twins, and process control
Experience working with high-dimensional and time-series experimental data
Strong programming skills in Python, with proficiency in relevant ML and modeling libraries such as scikit-learn, TensorFlow, and PyTorch
Proven experience in building and deploying interactive dashboards in Python, ideally using Dash or similar frameworks
Experience working with cloud-based data platforms (e.g. Databricks) and proficiency with version control systems such as GitHub
Excellent verbal and written communication skills, with demonstrated ability to present complex analytical findings to diverse scientific and business stakeholders
Ability to manage multiple priorities simultaneously and deliver high-quality results with minimal supervision
Demonstrated ability to translate complex modeling results into actionable insights for scientific, engineering, or business stakeholders
Strong cross-functional collaboration skills, with experience working effectively across multidisciplinary teams
Preferred
Knowledge in molecular and cellular biology
Experience in cell culture media development and/or bioproduction workflows
Benefits
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
Company
Thermo Fisher Scientific
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services.
10001+ employees
H1B Sponsorship
Thermo Fisher Scientific has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (272)
2024 (224)
2023 (233)
2022 (342)
2021 (315)
2020 (227)
Funding
Current Stage
Public CompanyTotal Funding
$15.97BKey Investors
National Grid
2025-11-24Post Ipo Debt· $2.42B
2025-09-30Post Ipo Debt· $2.5B
2023-08-07Post Ipo Debt· $2.95B
Leadership Team
Marc Casper
CEO
Stephen Williamson
Senior Vice President and Chief Financial Officer
Recent News
2026-02-03
2026-02-03
Company data provided by crunchbase