ZipRecruiter

Log In

1

Bioinformatics Programmer Jobs in Seattle, WA (NOW HIRING)

Uw

Research Scientist/Engineer 1

Seattle, WA

$56K/yr

Microbiology has an outstanding opportunity for a Research Scientist/Engineer 1 to join their team ... Experience with bioinformatics analyses and pipelines. * Demonstrated ability for attention to ...

Fred Hutch

Sr Staff Scientist - Data

Seattle, WA · On-site

PhD in bioinformatics, computational biology, biomedical informatics, genomics, systems biology, biomedical engineering, or a related quantitative biomedical field. * Minimum 5 years of experience ...

next page

Showing results 1-20

All JobsBioinformatics Programmer JobsBioinformatics Programmer Jobs in Seattle, WA

Bioinformatics Programmer information

See Seattle, WA salary details

$82.6K

$167.4K

$297.6K

How much do bioinformatics programmer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for bioinformatics programmer in Seattle, WA is $167,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $205,100.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Programmer job?

A Bioinformatics Programmer is a professional who develops and maintains software tools to analyze biological data, such as DNA sequences, protein structures, and genomic variations. They work at the intersection of computer science and biology, using programming languages like Python, R, and Java to process and visualize complex biological datasets. Their role is crucial in fields like genomics, drug discovery, and biomedical research, where they help automate data analysis and support scientific investigations.

What is a bioinformatics programmer?

A bioinformatics programmer is a professional who develops software and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often use programming languages like Python or R and work with bioinformatics tools to support research and healthcare applications.

What are the key skills and qualifications needed to thrive in the Bioinformatics Programmer position, and why are they important?

To thrive as a Bioinformatics Programmer, you need strong programming skills (often in Python, R, or Java), a solid background in biology or life sciences, and experience working with large-scale biological data. Commonly used tools and systems include bioinformatics software like BLAST, Bioconductor, cloud computing platforms, and version control systems such as Git, and certifications in relevant domains can be advantageous. Critical thinking, problem-solving, and effective communication are essential soft skills for integrating research findings and collaborating with interdisciplinary teams. These skills ensure you can develop robust, accurate computational solutions that drive advances in biological research and healthcare applications.

What is the salary of bioinformatic software developer?

The salary of a bioinformatics programmer typically ranges from $70,000 to $110,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced developers with specialized skills in programming languages like Python or R can earn higher salaries.

What does a typical day look like for a Bioinformatics Programmer?

A typical day for a Bioinformatics Programmer involves writing and optimizing code to analyze large datasets, commonly derived from genomics, proteomics, or clinical studies. You'll spend time collaborating with biologists, statisticians, and other programmers to design experiments, validate results, and interpret findings. Most roles also include maintaining data pipelines, troubleshooting software issues, and staying updated with the latest bioinformatics tools and research. The work environment often blends independent coding with regular team meetings and project updates, offering both technical and interdisciplinary challenges. This dynamic workflow makes the role both intellectually stimulating and impactful in advancing scientific discoveries.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics work by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics programmers. These professionals are essential for developing algorithms, interpreting results, and maintaining computational pipelines, often using programming languages like Python or R. AI complements their skills rather than replacing the need for human expertise in the field.

Is bioinformatics currently in demand?

Bioinformatics programmers are in high demand due to the growth of genomic research, personalized medicine, and data analysis in healthcare and biotech industries. Skills in programming languages like Python and R, along with knowledge of biological data, are highly valued in this field.
What are popular job titles related to Bioinformatics Programmer jobs in Seattle, WA? For Bioinformatics Programmer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Programmer jobs in Seattle, WA look for? The top searched job categories for Bioinformatics Programmer jobs in Seattle, WA are:
Bioinformatics Programmer jobs near you
Infographic showing various Bioinformatics Programmer job openings in Seattle, WA as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $167,367 per year, or $80.5 per hour.

Data Scientist II

Fred Hutchinson Cancer Center

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Overview
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.
The Data Scientist II will support clinical and translational data science at the Fred Hutch. The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. The data scientist will work on collaborative projects utilizing our OMOP common data model for observational oncology data in combination with diverse multimodal datasets. Projects may include developing predictive clinical models, LLM/AI integrated analyses, statistical modeling to understand patient populations and cancer outcomes, and cohort identification. The data scientist will develop templates and workflows for the data science community at Fred Hutch and play a key role in building ethical data stewardship and management skills across Fred Hutch.
At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.
Responsibilities
  • Participates in collaborative data science projects with academic researchers, oncologists, statisticians, and other partners.
  • Develops reproducible statistical analyses and machine learning models for topics such as: cohort identification, clinical characterization, and patient-level prediction.
  • Thinks critically and communicates clearly throughout the data science lifecycle (problem formulation, data cleaning, EDA, analysis, evaluation, and communication of results).
  • Creates data visualizations, reports, queries, and summaries to communicate findings to collaborators.
  • Supports development and growth of our common data model (OMOP) for real-world, observational health research through investigating data quality, conducting exploratory analysis on new data sources, and making recommendations for data transformation requirements.
  • Identifies, understands and creates multimodal data packages integrating clinical and research laboratory data to create comprehensive descriptions of patient journeys.
  • Collaborates with the translational data science team to develop templates, packages, and documentation for the data science community at Fred Hutch and self-serve analytics users.
  • Ensures analyses meet a high standard for methodological rigor and stays current in methodology for real-world evidence studies.
  • Complies with data governance and data privacy policies.

Qualifications
MINIMUM QUALIFICATIONS:
  • B.A., B.S. in computational biology, biostatistics, computer science, data science, biophysics, bioinformatics, or a related field.
  • Minimum 5 years of experience in data science, bioinformatics, or related disciplines.
    • Graduate degrees can apply towards this minimum (M.A./M.S. = 2 years, PhD = 4+ years)

PREFERRED QUALIFICATIONS:
  • Graduate degree in epidemiology, biostatistics, statistics/mathematics, public health, computational biology, bioinformatics, biology, or a related field.
  • Proficiency in R and/or Python programming.
  • Strong SQL and experience working in cloud-based data ecosystems.
  • Experience working with the OMOP common data model and OHDSI tools.
  • Demonstrated knowledge of machine learning and deep learning.
  • Demonstrated rigor and reproducibility through well organized and well documented code and/or committed to a public code repository.
  • Experience using Git in a collaborative setting.
  • Experience working with standardized medical vocabulary and ontologies (ICD-10, SNOMED, RxNorm, etc.)
  • Experience with data governance processes for working with regulated data (HIPAA, GDPR, etc.).
  • Strong oral and written communication skills, and the ability to prioritize written documentation.
  • Excellent interpersonal and communication skills with audiences with a wide range of data expertise.
  • A functional understanding of medical oncology, cancer epidemiology, or immunotherapy.
  • Proficiency in natural language processing tasks and tools, especially with clinical text.

The annual base salary range for this position is from $104,458 to $165,090, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Apply