Bioinformatics Senior Scientist-Biology

Zealand Pharma U.S., Inc.; Cambridge (MA); On-site; USD 120,000 - 165,000; Full time

Job summary

Zealand Pharma U.S., Inc. in Cambridge, MA is seeking a Bioinformatics Sr Scientist II to provide robust bioinformatics analyses and reproducible pipelines across Global Biology projects. You will translate biological questions into fit-for-purpose analyses, enabling timely decision making.

You will analyze multi-omics data, develop computational pipelines, collaborate with external partners, and effectively communicate results to scientific and senior stakeholders.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field with postdoc experience.
• 4+ years of relevant biotech/pharma industry experience or equivalent translational research experience.
• MS candidates with 8+ years of bio/pharma experience considered.
• Ability to analyze and integrate multi-omics data: transcriptomics, genomics, proteomics.
• Experience creating reproducible computational pipelines/tools for data processing and integration.
• Exposure to machine learning/AI methods applied to biological datasets.
• Strong communication and presentation skills for cross-functional and senior audiences.

Responsibilities

• Provide bioinformatics support to Global Biology project teams across discovery-to-clinic activities.
• Analyze, integrate, and interpret multi-omics datasets to generate decision-driving insights.
• Develop, implement, and maintain reproducible computational pipelines for data integration.
• Collaborate with external partners to co-develop tools, pipelines, and best practices.
• Partner cross-functionally with Chemistry, DMPK/Safety, Formulation, and Clinical teams.
• Communicate results through clear visualizations, summaries, and presentations to scientific and executive audiences.

Skills

Multi-omics data analysis

Computational pipeline development

Data integration

Machine learning in biology

Strong communication

Education

Ph.D. in Bioinformatics, Computational Biology, Genomics, or related field

MS with 8+ years bio/pharma experience

Job description

Excite yourself by turning multi‑omics data into actionable biological insights that drive discovery programs toward the clinic? We are seeking a Bioinformatics Sr ScientistII 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.

Qualifications

• 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.

About the Team

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 Statement

We are committed to an inclusive recruitment process and welcome applications from all job applicants.