Data Scientist, Computational & Mechanistic; onsite

Job Description

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Company Overview
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.

Location / Division
This is an onsite position that can be hired in Grand Island, NY, Carlsbad, CA or Hunt Valley, MD. Residency near these 3 sites is required. Relocation assistance is not provided.

How will you make an impact?
We are seeking a highly motivated Data Scientist with strong hands-on expertise in machine learning and deep learning (ML/DL), as well as mechanistic modeling, to join our interdisciplinary team. In this role, you will collaborate closely with experts in cell culture, multi-omics, and data science to develop and apply advanced hybrid modeling approaches that accelerate new cell culture product development and support media development services.

This position offers the opportunity to work in a highly collaborative, innovation-driven environment while contributing to Thermo Fisher Scientific's mission to enable a healthier, cleaner, and safer world.

What will you do?

• 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.

How will you get here?

Education

• 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

• 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, Tensor Flow, 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 Git Hub.

Knowledge, Skills, Abilities

• 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 Qualifications

• Knowledge in molecular and cellular biology.
• Experience in cell culture media development and/or bioproduction workflows.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Compensation And Benefits
The salary range estimated for this position based in New York is $88,000.00-$.

Additional Benefits
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…