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Full Time Bioinformatics Industry Jobs (NOW HIRING)

CareDx, Inc.

Sr. Staff Biostatistician

Brisbane, CA · On-site

... industry to fill the role of Sr. Staff Biostatistician. The position is responsible for setting ... In addition, the Sr. Staff Biostatistician will provide statistical and bioinformatics support and ...

CareDx, Inc.

Sr. Staff Biostatistician

Brisbane, CA · On-site

... industry to fill the role of Sr. Staff Biostatistician. The position is responsible for setting ... In addition, the Sr. Staff Biostatistician will provide statistical and bioinformatics support and ...

University of Rochester

$77K - $116K/yr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400129 Surgery Research Work ... The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and ...

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Full Time Bioinformatics Industry information

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$59.5K

$94.5K

$149.5K

How much do full time bioinformatics industry jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full time 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 difference between Full Time Bioinformatics Industry vs Bioinformatics Technician?

AspectFull Time Bioinformatics IndustryBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; sometimes certifications in data analysisAssociate's or Bachelor's degree in Bioinformatics, Biology, or related areas; technical certifications optional
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; often collaborative and project-basedLaboratory settings, data analysis centers; focused on data processing and technical support
Employer & Industry UsageUsed across biotech, pharma, research institutions; roles involve data analysis, software development, and researchCommon in research labs and hospitals; roles involve data entry, sample processing, and technical support

In summary, Full Time Bioinformatics Industry roles typically require higher education and involve complex data analysis and research tasks, while Bioinformatics Technicians focus on technical support and data processing with more technical and entry-level credentials.

What jobs can I get with full time bioinformatics industry?

Full-time roles in the bioinformatics industry include bioinformatics analyst, bioinformatics scientist, computational biologist, data analyst, and research scientist. These positions typically require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and Linux. They are often found in biotech companies, research institutions, and healthcare organizations.
More about Full Time Bioinformatics Industry jobs

What cities are hiring for Full Time Bioinformatics Industry jobs?

Cities with the most Full Time Bioinformatics Industry job openings:

What are the most commonly searched types of Bioinformatics Industry jobs?

The most popular types of Bioinformatics Industry jobs are:

What job categories do people searching Full Time Bioinformatics Industry jobs look for?

The top searched job categories for Full Time Bioinformatics Industry jobs are:

Full Time Bioinformatics Industry jobs near you
Infographic showing various Full Time Bioinformatics Industry job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Re-posted 11 days ago

Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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