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Translational Bioinformatic Jobs (NOW HIRING)

Baylor Genetics

Lead Bioinformatics AI Scientist

The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and ... Excellent written and verbal communication for technical and clinical translation. * Collaborative ...

Axle

Bioinformatics Scientist

Bethesda, MD

... in translational research, biomedical informatics, and data science applications to research ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

Axle

Bioinformatics Scientist

Bethesda, MD

... in translational research, biomedical informatics, and data science applications to research ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

... in translational research, biomedical informatics, and data science applications to research ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

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How much do translational bioinformatic jobs pay per hour?

As of May 29, 2026, the average hourly pay for translational bioinformatic in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $43.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Translational Bioinformatician, and why are they important?

To thrive as a Translational Bioinformatician, you need a strong background in biology, computational science, and statistics, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Proficiency with programming languages like Python or R, bioinformatics pipelines, and data analysis platforms such as Next Generation Sequencing (NGS) tools is essential. Excellent problem-solving abilities, communication skills, and a collaborative mindset help bridge the gap between laboratory research and clinical application. These competencies are vital for translating complex biological data into actionable medical insights that advance patient care and research.

How does a Translational Bioinformatician typically collaborate with clinical and research teams in a healthcare setting?

Translational Bioinformaticians play a key role in bridging the gap between laboratory research and clinical application by working closely with both scientists and healthcare professionals. They often translate complex genomic and molecular data into actionable insights that can inform patient care or clinical trials. Collaboration involves frequent meetings to discuss project goals, data interpretation sessions, and contributing to multidisciplinary teams to ensure research findings are relevant for clinical implementation. Effective communication skills are essential, as Translational Bioinformaticians must explain technical results to non-expert stakeholders and integrate feedback from diverse team members.

What is a Translational Bioinformatician?

A Translational Bioinformatician is a professional who applies computational and statistical techniques to bridge the gap between biomedical research and clinical practice. They analyze large-scale biological and clinical data to uncover insights that can be translated into medical advances, such as new diagnostics, therapies, or personalized medicine strategies. Their work often involves collaborating with clinicians, researchers, and data scientists to interpret complex datasets and facilitate the movement of scientific discoveries from the lab to patient care.

What is the difference between Translational Bioinformatic vs Clinical Bioinformatic?

AspectTranslational BioinformaticClinical Bioinformatic
CredentialsBioinformatics degree, programming skills, research experienceBioinformatics or healthcare-related degree, certification in clinical data analysis
Work EnvironmentResearch labs, biotech companies, academic institutionsHospitals, clinical labs, healthcare settings
Employer & IndustryBiotech firms, research institutions, pharma companiesHealthcare providers, clinical laboratories, hospitals
Search & Comparison IntentUnderstanding research-focused bioinformatics rolesClinical data analysis and patient-focused roles

Translational Bioinformaticians focus on converting research data into clinical applications, often working in research settings. Clinical Bioinformaticians primarily analyze patient data within healthcare environments to support diagnosis and treatment. While both roles require bioinformatics expertise, their work environments and objectives differ significantly.

Infographic showing various Translational Bioinformatic job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $89,000 per year, or $42.8 per hour.

Bioinformatics Scientist-Biology

Zealand Pharma

Cambridge, MA • On-site

$116K - $142K/yr

Full-time

Posted 8 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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