Scientist III Bioinformatics, AI & Big Data Integration

About the role

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.

Responsibilities

• 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.

Requirements

• 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.

Skills and 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.

Pay

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.

Schedule

Standard (Mon-Fri)

Environmental Conditions

Office