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Bioinformatics Salary Jobs (NOW HIRING)

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Competitive salary and benefits package * A mission-driven culture where discovery and innovation ...

Roche

Senior Bioinformatics Scientist

Pleasanton, CA

$167/hr

The Position We are seeking a talented and highly motivated Senior Bioinformatics Scientist to ... The expected salary range for this position based on the primary location of California is $ 102 ...

New

F. Hoffmann-La Roche AG

$102 - $168/hr

Contribute bioinformatics expertise throughout the assay development lifecycle, including initial ... The expected salary range for this position based on the primary location of California is $ 102 ...

New

Washington University of St. Louis

$17.10 - $29.09/hr

Location ST. LOUIS, MO 63108 Scheduled Hours 40 Position Summary This Bioinformatics Research ... The salary range reflects base salaries paid for positions in a given job grade across the ...

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Bioinformatics Salary information

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How much do bioinformatics salary jobs pay per year?

As of Aug 24, 2026, the average yearly pay for bioinformatics salary 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 average salary for a bioinformatician?

The average salary for a bioinformatician varies depending on factors such as experience, education, location, and industry. In the United States, entry-level bioinformaticians can expect to earn between $60,000 and $80,000 per year, while those with several years of experience or advanced degrees may earn upwards of $100,000 to $120,000 annually. Salaries are often higher in biotechnology and pharmaceutical companies, and may also increase with specialized skills in data analysis, programming, or machine learning.

What are some common career advancement paths for professionals in bioinformatics?

Professionals in bioinformatics often start as analysts or junior scientists and can progress to roles such as senior bioinformatician, project lead, or principal scientist. With experience, some move into management positions overseeing research teams or transition into specialized areas like computational biology or data science. Career growth may also include opportunities in academia, industry, or pharmaceutical companies, and professionals who develop strong programming and analytical skills are especially well-positioned for advancement.

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

To thrive as a Bioinformatician, you need a strong background in biology, statistics, and computer science, typically supported by a degree in bioinformatics or a related field. Proficiency in programming languages like Python or R, experience with bioinformatics databases, and familiarity with tools such as BLAST and Next Generation Sequencing (NGS) analysis platforms are common requirements. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting data and collaborating with multidisciplinary teams. These skills enable accurate analysis of complex biological data, driving innovations in research and healthcare.

What is the difference between Bioinformatics Salary vs Computational Biologist Salary?

AspectBioinformatics SalaryComputational Biologist Salary
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Computational Biology, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, pharmaceutical companies, academia
Industry UsageHealthcare, biotech, pharmaResearch, academia, biotech

Both roles often require similar educational backgrounds and work in overlapping environments. However, bioinformatics salaries tend to be slightly higher due to demand in healthcare and biotech sectors, while computational biologists may work more in academic research settings. Understanding these differences can help job seekers target the right roles and salary expectations.

Do bioinformaticians get paid well?

Bioinformaticians typically earn competitive salaries that reflect their specialized skills in computational biology, data analysis, and programming. Salaries vary based on experience, education, and location, but the role generally offers above-average compensation compared to many other scientific fields.

Is bioinformatics a stressful job?

Bioinformatics can be stressful due to tight project deadlines, complex data analysis, and the need for accuracy in research. However, the level of stress varies depending on the work environment, workload, and individual skills in programming and data management.

Is bioinformatics still a good career?

Bioinformatics is a growing field with high demand for professionals skilled in data analysis, programming, and biological sciences. It offers opportunities in research, healthcare, and biotech industries, often requiring knowledge of tools like Python, R, and databases. The field is expected to continue expanding as genomics and personalized medicine advance.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common job roles include bioinformatics analyst, computational biologist, research scientist, and data scientist in healthcare, pharmaceuticals, or biotech companies. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.
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What states have the most Bioinformatics Salary jobs?

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Bioinformatics Salary jobs near you
Infographic showing various Bioinformatics Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

BIOINFORMATICS PROGR

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 1 hour ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

233rd of 622 rated colleges and universities

Job description

The Cardiovascular Genetics Center at University of California, San Francisco is seeking an experienced bioinfomatician to faciliate several lines of research that relate broadly to inherited forms of cardiovascular disease, regulation of gene expression in health and disease, and personalized genetic medicine. The incumbent will work closely with prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF patients as well as publicly available data repositories. The goal will be to make fundamental biological discoveries that can ultimately be translated to understanding, prevent, and treat heritable cardiovascular diseases.
More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database searching and integration. Maintains the computational infrastructure and tracks the flow of samples and information for large-scale studies. Provides web-based bioinformatics and access to public and proprietary databases.
 
The scope of work will include anayzing biological datasets generated experimentally including but not limited to bulk and single cell multiomics sequencing, epigenomics data including ChIP-Seq and CUT&RUN, and imaging data including spatial transcriptomics; overlapping experimental data with publicaly available genomic and expression datasets including UK Biobank, All of Us, Heart Cell Atlas, and similar datasets. There will also be analysis of genome sequencing data including whole exome- and whole genome sequencing to discern rare and common variants implicated in cardiovascular disease.The incumbent will also implement machine learning algorithms to analyze biological datasets.  There will be frequent collaboration with bench scientists and clinicians in a highly collegial and stimulating scientific environment.
About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Required Qualifications

  • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training
  • A minimum of 3 years of relevant work experience in bioinformatics or computational biology
  • Thorough knowledge of bioinformatics programming design, modification and implementation in relevant languages such as Python, R, and/or equivalent
  • Understanding of relational databases, web interfaces, and operating systems
  • Strong project management skills
  • Thorough knowledge of modern biology and applicable field of research
  • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization
  • Ability to communicate technical information in a clear and concise manner
  • Ability to interface with management on a regular basis
  • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills
  • Thorough knowledge of web, application and data security concepts and methods
  • Familiarity with cloud-based computing and high-performance computing environments
  • Proven expertise, as reflected in publication record, in analyzing high-throughput sequencing datasets, including RNA-sequencing, ATAC-sequencing, and chromatin occupancy studies
  • Thorough In-depth knowledge of genomic databases, tools, and statistical frameworks

Preferred Qualifications

  • PhD in Bioinformatics or a closely related field

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