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Bioinformatics Senior Scientist-Biology
Job in
Cambridge, Middlesex County, Massachusetts, 02140, USA
Listed on 2026-07-24
Listing for:
Zealand Pharma U.S., Inc.
Full Time
position Listed on 2026-07-24
Job specializations:
-
Research/Development
Biotech Research, Data Scientist
Job Description & How to Apply Below
Excite yourself by turning multi‑omics data into actionable biological insights that drive discovery programs toward the clinic? We are seeking a Bioinformatics Sr Scientist II to provide robust bioinformatics analyses and pipelines across Global Biology projects.
Responsibilities- Provide bioinformatics support to Global Biology project teams across discovery‑to‑clinic activities, translating biological questions into fit‑for‑purpose analyses.
- Analyze, integrate, and interpret multi‑omics datasets (e.g., transcriptomics, genomics, proteomics) to generate clear, decision‑driving insights.
- Develop, implement, and maintain reproducible computational pipelines and analysis workflows for data integration and downstream interpretation.
- Collaborate with external partners to co‑develop tools, pipelines, and best practices, including incorporation of machine learning/artificial intelligence approaches where relevant.
- Partner cross‑functionally with Chemistry, Drug Metabolism and Pharmacokinetics/Safety, Formulation, and Clinical stakeholders to ensure analyses address key development questions.
- Communicate results through clear visualizations, summaries, and presentations tailored to both scientific teams and senior/executive audiences.
- Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field with postdoc experience.
- 4+ years of relevant experience in biotech/pharmaceutical industry or equivalent translational research experience.
- Will consider M.S. candidates with 8+ years of bio/pharma experience.
- Demonstrated ability to analyze and integrate multi‑omics data, including transcriptomics, genomics, and proteomics.
- Experience developing computational pipelines/tools for data processing, integration, and analysis with an emphasis on reproducibility.
- Exposure to or experience with machine learning/artificial intelligence methods applied to biological datasets.
- Strong communication and presentation skills, with the ability to explain complex analyses to cross‑functional and senior stakeholders.
You will join the Global Biology research organization and work closely with project teams and key functional areas to deliver high‑quality analyses that enable timely decisions. The role interfaces broadly across research and development and supports internal and external collaborations that strengthen data integration and translational impact.
Inclusive Hiring StatementWe are committed to an inclusive recruitment process and welcome applications from all job applicants.
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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