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Translational Bioinformatic Jobs (NOW HIRING)

Neomorph, Inc.

Director Translational Research

San Diego, CA · On-site

$220K - $247K/yr

Collaborate with Bioinformatics/Biometrics to analyze and interpret translational datasets, including genomics, transcriptomics, proteomics, pharmacodynamic, and clinical outcome data. * Support dose ...

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Neomorph, Inc.

Director Translational Research

San Diego, CA · On-site

$220K - $247K/yr

Collaborate with Bioinformatics/Biometrics to analyze and interpret translational datasets, including genomics, transcriptomics, proteomics, pharmacodynamic, and clinical outcome data. * Support dose ...

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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.

Senior Scientist, Bioinformatics

Coherus Oncology

Redwood City, CA • On-site

$140K - $175K/yr

Full-time

Posted 12 days ago

Job description

Title: Senior Scientist, Bioinformatics
Reports to: Director, Bioinformatics
Location: Redwood City, CA
Classification: Exempt
Overview:
Coherus Oncology is seeking a Senior Scientist, Bioinformatics to join the Translational Medicine team and support the analysis and interpretation of translational and clinical biomarker data from oncology clinical trials.
This is a hands-on bioinformatics role for an industry-experienced scientist who enjoys working close to the data, biology, and clinical context. The Senior Scientist will execute rigorous, reproducible analyses and collaborate closely with translational scientists and other cross-functional partners to generate biologically meaningful insights that support clinical decision-making.
Within a small, highly collaborative team, this role focuses on direct analytical contributions to active clinical programs and provides meaningful exposure to translational bioinformatics in a clinical-stage biotech environment.
Responsibilities:
  • Perform end-to-end analysis of translational and clinical biomarker data, including data preparation, quality control, statistical analysis, and biological interpretation.
  • Analyze high-dimensional clinical trial datasets (e.g., bulk/single cell/spacial RNA-seq, protein biomarker platforms such as MSD or Olink, and other translational assays).
  • Apply appropriate statistical methods with careful consideration of study design, analytical assumptions, and clinical relevance.
  • Execute reproducible, well-documented analytical workflows to ensure data quality, traceability, and analytical rigor.
  • Collaborate closely with translational scientists and cross-functional partners to interpret results in biological and clinical context.
  • Coordinate with data providers and vendors as needed to support timely data transfer, documentation, and organization for ongoing clinical studies.
  • Prepare clear figures, tables, and presentation materials to communicate analytical findings and support internal study discussions, scientific publications, regulatory documents and reports.
  • Work with Clinical, Biomarker, and Laboratory Operations teams, as well as external vendors, to support data transfer, organization, and documentation for ongoing trials.
  • Use version control and collaborative development practices to maintain analysis code and documentation.
  • Leverage AI-assisted tools to improve efficiency in coding, analysis, visualization, and documentation while applying sound scientific judgment.

Education & Expereience:
  • PhD with 1+ years of relevant industry experience, or Master's degree with 5+ years of relevant industry experience in Bioinformatics, Computational Biology, Genomics, Statistics, Cancer Biology, Immunology or a related fields.

Required Skills:
  • Strong proficiency in R/Python for data analysis, statistical modeling, and visualization.
  • Experience working in Linux/Unix computing environments.
  • Solid foundation in statistics and their application to biological and clinical datasets.
  • Demonstrated ability to independently execute analyses with attention to rigor, reproducibility, and detail.
  • Knowledge of immunology and/or cancer biology or related fields.

Preferred Skills:
  • Prior industry bioinformatics experience, particularly in translational or clinical-stage research in cancer immunotherapy and related fields.
  • Experience working with NGS and biomarker assay data in an industry or clinical research setting.
  • Familiarity with using AI-assisted computational and analytical tools to support efficient coding, data analysis, visualization, and scientific communication.
  • Interest in and ability to engage deeply with the biological interpretation of analytical results.

The Base Salary Range for this position is $140,000 to $175,000. Coherus considers various factors, including professional background and work experience, when determining base pay. These considerations mean actual compensation will vary.
Coherus provides equal employment opportunities to all employees and applicants for employment and prohibits unlawful discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also prohibit discrimination based on the perception that anyone has any of these characteristics or is associated with a person who has or is perceived as having any of these characteristics.

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