Bioinformatics Scientist-Biology

Zealand Pharma • Cambridge, MA

18h • Onsite

About The Position

The Bioinformatics Scientist – Biology role provides bioinformatics support to the Global Biology research team, spanning pipeline projects from discovery to clinic. This position is responsible for driving the analysis and integration of multi-omics datasets to enhance target and mechanism understanding and to inform program decisions. The role also involves contributing to the development of scalable computational pipelines and tools, working in collaboration with both internal stakeholders and external partners. Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company established in 1998, specializing in advancing medicines for obesity and metabolic health. The company leverages over 25 years of peptide R&D expertise combined with a proprietary data platform that incorporates advanced data-driven and AI/ML approaches. Zealand Pharma aims to lead innovation in obesity and metabolic health, with more than ten invented drug candidates having entered clinical development, including two products on the market and three in late-stage development. The company engages in collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization, with headquarters in Copenhagen, Denmark, and a U.S. presence in Boston, Massachusetts. Their core expertise lies in the discovery, design, and development of therapeutic peptides, focusing on obesity, rare diseases, chronic inflammation, and type 1 diabetes.

Requirements

• Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field
• 0–3+ years of relevant experience in biotech/pharmaceutical industry or equivalent translational research 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 ability to explain complex analyses to cross-functional and senior stakeholders

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees