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Bioinformatics Programmer Analyst Jobs (NOW HIRING)

We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a ... In addition, bioinformatics analysis of various types of patient genomic, epigenomic and ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... The ideal candidate combines deep expertise in genomics analysis methods with strong software ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... The ideal candidate combines deep expertise in genomics analysis methods with strong software ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... The ideal candidate combines deep expertise in genomics analysis methods with strong software ...

As a Bioinformatics Engineer, you will develop software for analyzing and visualizing complex biological data while collaborating with Front-End and Cloud Infrastructure Engineering teams.

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How much do bioinformatics programmer analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for bioinformatics programmer analyst in the United States is $46.48, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $56.49 per hour, depending on experience, location, and employer.

What is a Bioinformatics Programmer Analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are some common challenges faced by Bioinformatics Programmer Analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

More about Bioinformatics Programmer Analyst jobs
What cities are hiring for Bioinformatics Programmer Analyst jobs? Cities with the most Bioinformatics Programmer Analyst job openings:
What states have the most Bioinformatics Programmer Analyst jobs? States with the most job openings for Bioinformatics Programmer Analyst jobs include:
Infographic showing various Bioinformatics Programmer Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $96,677 per year, or $46.5 per hour.

Bioinformatics Programmer

University of California San Francisco

San Francisco, CA • On-site

Full-time

Re-posted 27 days 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

225th of 613 rated colleges and universities


Job description


The University of California, San Francisco is seeking a Bioinformatics Programmer to join the bioinformatics team supporting the Clinical Cancer Genomics Laboratory (CCGL), the Genomic Medicine Laboratory (GML), and the Institute for Human Genetics Sequencing Core (IHG Core).
Responsibilities for CCGL:
In this role, this individual will be part of a bioinformatics team responsible for design, construction, and maintenance of a genomic analysis pipeline supporting the UCSF500 Cancer Gene Panel assay, a molecular test profiling DNA from tumor and normal tissue to identify mutations that may drive a patient's cancer and aid in diagnosis and treatment, and a related RNAseq pipeline to identify gene fusions. Our internally developed cloud-based genomic analysis pipelines detect single nucleotide variants, small and medium indels, structural rearrangements, copy number variants, and microsatellite instability, and communicate with sequencing core services, laboratory information management systems and clinical reporting software.
Under the general direction of the Associate Director of Bioinformatics for the Clinical Cancer Genomics Laboratory, the Bioinformatics Programmer will design and develop new components and pipelines to support new and enhanced clinical testing. New features slated for development include tumor methylation- and whole transcriptome-based classifiers and AI tools to assist in clinical signout. Other new software developed will provide support for automating aspects of sample analysis and error reporting and integration with other clinical systems. Additional responsibilities will include supporting the development of new target capture panels and test validation as well as quarterly data analysis to improve QC and support clinical annotation. In this role, the Bioinformatics Programmer will interface with molecular pathologists, laboratory and administrative staff, medical researchers, technical teams for related clinical systems and data repositories, and research consortia.
Responsibilities for GML:
The individual will be part of the bioinformatics team responsible for building and maintaining pipelines to support genomic analysis for the clinical tests performed by GML including: Rapid Whole Genome Sequencing, Exome Sequencing, Hereditary Cancer Panel, and exome subpanels. New features slated for development include long-read sequencing platforms to complement existing short-read whole genome sequencing. The individual will build infrastructure to route data to, from, and between numerous 3rd party platforms, kick off appropriate analyses, and manage data storage. New pipelines will also be built to support auto verification of negative cases, QC analyses, and retrospective studies. The individual will also perform ad hoc analyses and processing of clinical data to support lab initiatives and special cases that must be handled outside of the standard pipelines.
Responsibilities for IHG Core:
The individual will work as part of the bioinformatics team responsible for building and maintaining an end-to-end automated pipeline to transport raw sequencing data from sequencing machines to UCSF Amazon Web Services Secure Enterprise Cloud, convert raw sequencing data to sequencing reads, route clinical data to downstream systems, perform individual analyses for custom research projects, return data to customers, and manage data storage.
Other responsibilities:
The individual will be required to be on call nights and weekends for a minimum of 13 weeks of the year, to quickly react to any situations that may arise to ensure prompt data transfer and processing for CCGL, GML, and the IHG Core. Maintenance of pipelines, applications, and servers must often be performed outside of standard business hours to minimize disruptions to the labs.
Responsibilities
of time
Essential Function (Yes/No)
Key Responsibilities
25
Yes
Applies advanced bioinformatics concepts to design, develop, modify, debug, and evaluate highly complex software programs, systems, and web tools.
30
Yes
Conducts advanced bioinformatics programming and testing of new algorithms that will interact with other related databases.
10
Yes
Formulates logic for new systems, devises logic procedures, prepares flowcharting, performs coding and data analysis, and tests / debugs highly complex programs.
10
Yes
Recommends and implements changes in development, maintenance and system standards for analysis algorithms, tools, and infrastructure.
10
Yes
Performs highly complex data modeling, performance and integration testing and builds user interfaces for a variety of internal and external constituents.
5
Yes
Interacts with senior level internal personnel.
10
Yes
Liaises with clinical researchers and provides documentation of internal processes to support research and publication.
100%
Qualifications
Required Qualifications:
  • In-depth knowledge of bioinformatics methods and data structures
  • In-depth knowledge of bioinformatics programming design, modification and implementation
  • In-depth knowledge of genetics, genomics, and cancer biology
  • Advanced interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership
  • Ability to communicate technical information in a clear and concise manner
  • Minimum 5 years of experience with Illumina sequencing data, genetic variant calling, variant analysis, annotation and filtering
  • Proficiency with Python, R, Unix/Linux OS and shell scripting, and associated libraries
  • Strong knowledge of statistics and experience working with large genomics datasets
  • Minimum 3 years of experience with clinical pipelines, procedures, implementation, and documentation
  • Strong experience with APIs
  • Advanced skills in data migration and data conversion

Preferred Qualifications:
  • Advanced understanding of relational databases, web interfaces and operating systems.
  • Advanced project management skills
  • Advanced ability to interface with management on a regular basis
  • Ability to lead a team, meet deadlines and demonstrate advanced problem solving skills
  • In-depth knowledge of web, application and data security concepts and methods
  • In-depth knowledge of web, application and data security concepts and methods
  • Working knowledge of Amazon Web Services, including AWS Batch
  • Experience developing, evaluating, or deploying machine learning models for genomics, biomedical, or healthcare applications
  • Ability to critically evaluate emerging AI technologies and identify opportunities for implementation in clinical genomics workflows
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and generative AI applications in healthcare or life sciences

Education, Licenses/Certifications:
  • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience/training - Required
  • Master's Degree and 4 yrs relevant experience in bioinformatics - Required
  • PhD in Bioinformatics or related field - Preferred

About Us
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

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