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Bioinformatics Industry Jobs (NOW HIRING)

Position Overview The Bioinformatics Scientist, with limited guidance from more experienced ... Maintain knowledge of technological industry developments that could assist in completion of an ...

... in industry analyzing NGS data * Coding fluency such as Python or R * Experience with ... bioinformatics tools including bcftools, samtools, bedtools, etc. * Ability to implement new tools ...

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Bioinformatics Industry information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics industry jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bioinformatics industry in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the bioinformatics industry?

The bioinformatics industry focuses on the development and application of computational tools to manage, analyze, and interpret biological data, especially large datasets such as genomic sequences. Companies in this field provide products and services like software for DNA analysis, drug discovery platforms, and data management solutions. The industry supports sectors such as pharmaceuticals, biotechnology, healthcare, and agriculture by enabling data-driven research and innovation. Bioinformatics professionals may work in research, product development, or technical support roles within these organizations.

What is the difference between Bioinformatics Industry vs Bioinformatics Analyst?

AspectBioinformatics IndustryBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, Computer ScienceBachelor's or Master's in Bioinformatics, Biology, Computer Science
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, biotech companies, healthcare settings
Employer & Industry UsageUsed across biotech, pharma, research organizationsCommonly employed in research, healthcare, and biotech sectors
Search & Comparison IntentUnderstanding industry roles, career paths, job opportunitiesJob-specific roles, responsibilities, and skills required

Bioinformatics Industry refers to the broader sector encompassing companies and organizations involved in bioinformatics research and development. A Bioinformatics Analyst is a specific role within this industry, focusing on analyzing biological data. While both share similar credentials and work environments, the industry covers the entire field, whereas the analyst role is a particular job position within that field.

What are some common challenges bioinformatics professionals face when working in industry settings?

In industry roles, bioinformatics professionals often encounter challenges such as integrating heterogeneous data from various sources, managing large-scale datasets, and keeping up with rapidly evolving computational tools and technologies. Collaboration with multidisciplinary teams, including wet-lab scientists, software engineers, and data analysts, is essential and can sometimes require bridging communication gaps. Additionally, balancing research innovation with business-oriented project timelines can be demanding, making time management and adaptability important skills in this environment.

What are the key skills and qualifications needed to thrive in the bioinformatics industry, and why are they important?

To thrive in the bioinformatics industry, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree or advanced training. Familiarity with programming languages like Python or R, experience with genomic databases, and knowledge of tools such as BLAST, Bioconductor, or cloud computing platforms are typically required. Critical thinking, problem-solving, and the ability to communicate complex data insights clearly are essential soft skills. These competencies enable professionals to analyze biological data effectively, drive scientific discovery, and contribute to advancements in healthcare and biotechnology.
More about Bioinformatics Industry jobs
What are the most commonly searched types of Bioinformatics Industry jobs? The most popular types of Bioinformatics Industry jobs are:
What states have the most Bioinformatics Industry jobs? States with the most job openings for Bioinformatics Industry jobs include:
Infographic showing various Bioinformatics Industry job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Scientist, Bioinformatics

Coherus Oncology

Redwood City, CA

$140K - $175K/yr

Other

Posted 22 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.