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Senior Computer Science Bioinformatics Jobs in Boston, MA

MS degree with 5+ years of experience, or PhD with 0+ years of experience, in a quantitative field such as Bioinformatics, Computational Biology, Computer Science, Computational Genetics ...

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Bachelor's or Master's degree in Computer Science, Bioinformatics, Engineering, or related field. * 5+ years of experience in LIMS development and management within clinical diagnostics, biotech, or ...

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Required : • Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred. • Minimum 10 years of hands-on experience ...

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Showing results 1-20

Senior Computer Science Bioinformatics information

See Boston, MA salary details

$91.8K

$111.1K

$129.8K

How much do senior computer science bioinformatics jobs pay per year?

As of Jul 3, 2026, the average yearly pay for senior computer science bioinformatics in Boston, MA is $111,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $119,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Computer Science Bioinformatics professional, and why are they important?

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a Senior Computer Science Bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What does a Senior Computer Science Bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Boston, MA? The most popular types of Computer Science Bioinformatics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Computer Science Bioinformatics jobs? Cities near Boston, MA with the most Senior Computer Science Bioinformatics job openings:

Bioinformatics Scientist-Biology

Zealand Pharma

Cambridge, MA

$116K - $142K/yr

Full-time

Posted 13 days ago


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 Scientist - 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 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

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.

The anticipated base pay range for this position is: $116,000 - $142,000

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 at www.zealandpharma.com.

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