Bioinformatics Senior Scientist-Biology

Zealand Pharma
Location
Cambridge, MA, US
Job Type
Full-time
Posted
September 16, 2026
Views
5

Job Description

Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines? If this sounds like you, and you are ready to take on a broad area of responsibilities, then you could be our new colleague.

Your new position

As Bioinformatics Sr Scientist II in Biology, the role provides bioinformatics support to the Global Biology research team across pipeline projects from discovery to clinic. The position drives analysis and integration of multi-omics datasets to enable target and mechanism understanding and inform program decisions. The role also contributes to building scalable computational pipelines and tools, in collaboration with internal stakeholders and external partners.

We offer exciting 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

Your profile

The successful candidate is scientifically curious, structured, and collaborative, with a strong ability to connect computational results to biological hypotheses and program decisions. The role calls for high ownership, good prioritization across multiple stakeholders, and a focus on quality, reproducibility, and transparency in analyses. Strong communication skills and comfort engaging with external collaborators are essential.

  • Ph.D. in Bioinformatics, Computational Biology, Genomics, or 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 with 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 ability to explain complex analyses to cross-functional and senior stakeholders

Your new team

Does it excite you to turn multi-omics data into actionable biological insights that move discovery programs toward the clinic, and do you have experience building robust bioinformatics analyses and pipelines? If this sounds like you, and you are ready to take on a broad area of responsibilities, then you could be our new colleague.

Your new position

As Bioinformatics Sr Scientist II in Biology, the role provides bioinformatics support to the Global Biology research team across pipeline projects from discovery to clinic. The position drives analysis and integration of multi-omics datasets to enable target and mechanism understanding and inform program decisions. The role also contributes to building scalable computational pipelines and tools, in collaboration with internal stakeholders and external partners.

We offer exciting 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

Your profile

The successful candidate is scientifically curious, structured, and collaborative, with a strong ability to connect computational results to biological hypotheses and program decisions. The role calls for high ownership, good prioritization across multiple stakeholders, and a focus on quality, reproducibility, and transparency in analyses. Strong communication skills and comfort engaging with external collaborators are essential.

  • Ph.D. in Bioinformatics, Computational Biology, Genomics, or 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 with 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 ability to explain complex analyses to cross-functional and senior stakeholders

Your new 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.

Let's bond and be bold

We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture.

Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let's bond and be bold.

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

About Zealand Pharma A/S

Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma-invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late-stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Boston, Massachusetts. Learn more atwww.zealandpharma.com.

#LI-Onsite

About Zealand Pharma A/S

Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data-driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma-invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late-stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Boston, Massachusetts. Learn more atwww.zealandpharma.com.

#LI-Onsite

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Cambridge, MA, US, and is an on-site role.
What are the key responsibilities of this role?
You will provide bioinformatics support to Global Biology project teams, analyze and integrate multi-omics datasets, and develop reproducible computational pipelines. You will also collaborate with external partners to co-develop tools and partner cross-functionally with Chemistry, DMPK/Safety, Formulation, and Clinical stakeholders.
What educational qualifications and experience are required?
You need a Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field with postdoc experience, plus 4+ years of biotech/pharma or translational research experience. Alternatively, candidates with an M.S. and 8+ years of bio/pharma experience will be considered.
What specific technical skills and experience are expected?
Candidates must have a demonstrated ability to analyze and integrate multi-omics data (transcriptomics, genomics, proteomics) and experience developing computational pipelines for data processing. Exposure to or experience with machine learning and artificial intelligence methods applied to biological datasets is also required.
Which team will I join and who will I work with?
You will join the Global Biology research organization. You will work closely with project teams, key functional areas, and external collaborators, interfacing broadly across research and development.

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Job Information

Source: workday
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Cambridge, MA, US
Skills & Tags:
zealand pharma pharma
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