Data Scientist, Computational & Mechanistic (onsite)

Work Schedule

Environmental Conditions

Job Description

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 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 Scientifics 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 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.

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 Inc. is the world leader in serving science with annual revenue exceeding $25 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. Our global team of more than 75000 colleagues delivers an unrivaled combination of innovative technologies purchasing convenience and pharmaceutical services through our industry-leading brands including Thermo Scientific Applied Biosystems Invitrogen Fisher Scientific Unity Lab Services and Patheon.

For more information please visit

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

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: Experience:

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