Scientist III Bioinformatics, AI & Big Data Integration

JOB DESCRIPTION

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.

How will you make an impact?

We are seeking a highly motivated Scientist III with expertise in systems biology, multi-omics integration, and metabolic modeling to accelerate next-generation cell culture media and process development. The successful candidate will join a multidisciplinary team to expand our in-house AI-enabled systems biology platform for biologics development.

This role will focus on integrating transcriptomics, proteomics, metabolomics, and bioprocess data to uncover biological mechanisms governing cell growth, productivity, metabolism, and product quality. The successful candidate will develop kinetic and mechanistic metabolic models, apply computational approaches to interpret complex biological datasets, and support AI-guided cell culture media optimization. The ideal candidate will combine a strong understanding of mammalian cell biology and metabolism with computational and data science expertise to generate actionable insights for upstream process development.

What will you do?

• Maintain and expand an in-house multi-omics platform tool focused on integration of transcriptomics, proteomics and metabolomics.
• Integrate multi-omics datasets with genome-scale metabolic models (GEMs) and other computational frameworks to improve biological interpretation and identify opportunities for media and process optimization.
• Collaborate with cell culture scientists to design and interpret multi-omics studies supporting cell line development, media optimization, and upstream process development.
• Collaborate with cell culture scientists, data engineers and analytical teams to support big data analysis, pathway interpretation, and upstream bioprocessing applications.

How will you get here?

Education

• Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.

Experience

• At least 3 years of relevant industrial or academic experience.
• Strong background in systems biology, computational biology, metabolic modeling, or bioinformatics.
• Experience integrating multi-omics datasets, including transcriptomics, proteomics, metabolomics, and/or fluxomics.
• Experience developing or applying kinetic models, genome-scale metabolic models (GEMs), metabolic flux analysis (MFA), or systems biology approaches.
• Knowledge of mammalian cell culture, cellular metabolism, and upstream bioprocess development.
• Experience supporting media optimization, process development, or biologics manufacturing is highly desirable.

Knowledge, Skills, Abilities

• Strong programming skills in Python (preferred), R, MATLAB, or similar scientific programming languages.
• Experience with multi-omics integration , pathway enrichment analysis, metabolic network analysis, genome-scale metabolic modeling, kinetic modeling, or machine learning.
• Present data for review, group discussions, and team meetings
• Multi-task effectively and prioritize multiple projects with guidance.
• Proven track record that could work efficiently both independently and as part of a team.
• Excellent verbal and written communication skills..
• Ability to work in a cross-functional and interdisciplinary team.

Preferred Qualifications

• Experience with CHO, HEK or Yeast cell culture systems.
• Experience applying AI/ML , knowledge graphs, large language models (LLMs), retrieval-augmented generation (RAG), or predictive analytics to biological data.

Compensation and Benefits

The salary range estimated for this position based in New York is $87,200.00–$116,250.00.

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: