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Bioinformatics Jobs in Bothell, WA (NOW HIRING)

Post-Doctoral Research Fellow

Seattle, WA · On-site

$80K - $95K/yr

A new Post-Doctoral Research Fellow position is available in Andrew Fiore-Gartland's group in Biostatistics, Bioinformatics and Epidemiology (BBE) within VIDD at Fred Hutch in Seattle, WA. The group ...

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Bioinformatics information

See Bothell, WA salary details

$66.5K

$105.6K

$167.1K

How much do bioinformatics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for bioinformatics in Bothell, WA is $105,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $144,800.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

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

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Bothell, WA? The most popular types of Bioinformatics jobs in Bothell, WA are:
What are popular job titles related to Bioinformatics jobs in Bothell, WA? For Bioinformatics jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Bioinformatics jobs? Cities near Bothell, WA with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Bothell, WA as of June 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $105,612 per year, or $50.8 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

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 Sr Staff Scientist identifies, evaluates, and advances technology opportunities that support translational research and data-driven discovery. This role works in close partnership with OCDO infrastructure and data engineering leadership to identify technical solutions to meet emerging translational needs, assess potential data and AI technologies, and guide the early development of technical solutions related to our multimodal patient data platform.  This role works in direct collaboration with the OCDO Data Science Staff Scientist to evaluate feasibility of translational data projects at the programmatic level that require integration across infrastructure and data analysis to ensure complete solutions that meet the needs of Clinical Trials, Precision Oncology, and disease-focused translational programs integrating clinical and research efforts.   

The position focuses on discovery and evaluation of translational research needs, assessment of emerging technologies, and coordination with internal and external partners to frame viable implementation pathways for complex data and technology projects. This is a technically grounded role that bridges translational research use cases with institutional data platforms, cloud infrastructure, and security and governance considerations. 


  • Identify technology oriented translational research pain points, integration gaps, and evaluate emerging technology needs across research, clinical, and data domains with our Translational Data Program faculty leadership.   
  • Partner with translational researchers, faculty, and operational teams to translate scientific and operational needs into clearly defined technical problem statements. 
  • Plan, write and execute grant-funded technology initiatives as PI, co-PI or Key Personnel on program and/or research grants for the OCDO or in support of partner grants wherein OCDO is a core or subaward.   
  • Evaluate emerging technologies, platforms, tools, and services relevant to translational research, including cloud services, data platforms, analytics tools, and AI-enabled systems. 
  • Assess the feasibility, interoperability, scalability, and long-term sustainability of potential technologies within our suite of tools via implementing hands-on pilot projects in partnership with our engineering leadership. . 
  • Surface technical dependencies, architectural considerations, and tradeoffs for review by Platform Architecture and Data Engineering leadership. 
  • Identify data security, privacy, compliance, and governance considerations early in the technology evaluation process. 
  • Partner with security, privacy, and data governance stakeholders to ensure translational use cases are appropriately assessed and aligned with institutional requirements. 
  • Coordinate with internal technical teams and external data and/or technology vendors or partners during technology evaluation and early planning phases. 
  • Produce clear documentation, technical assessments, and recommendations to support institutional decision-making regarding new translational technologies. 
  • Communicate technical concepts, evaluation findings, and recommendations effectively to both technical and non-technical audiences. 

MINIMUM QUALIFICATIONS:

  • PhD in bioinformatics, computational biology, biomedical informatics, genomics, systems biology, biomedical engineering, or a related quantitative biomedical field. 
  • Minimum 5 years of experience working with biomedical or translational research data in an academic medical center, research institute, or equivalent data-intensive research environment.

PREFERRED QUALIFICATIONS:

  • Demonstrated expertise in bioinformatics, scientific computing, or computational analysis of biomedical data, including experience working with large and complex research datasets. 
  • Strong understanding of modern data infrastructure, including cloud-based research environments, data platforms, and data engineering concepts. Experience with AWS and/or Databricks is of particular interest.  
  • Experience working with clinical or translational datasets (e.g., clinical data models, genomics data, imaging data, or other multimodal biomedical data) particularly in oncology and/or clinical trials. 
  • Demonstrated ability to lead independent technical or scientific initiatives that involve coordination across multiple teams, departments, or technical domains. 
  • Experience evaluating and selecting technologies or analytical approaches in support of scientific or data infrastructure initiatives such as high performance computing tools and platforms, data-visualization applications.   
  • Working knowledge of data governance, security, privacy, and compliance considerations associated with biomedical and clinical data. 
  • Strong ability to translate complex scientific or operational problems into structured technical questions and potential solution pathways. 
  • Excellent written and verbal communication skills, including the ability to produce clear technical documentation, evaluations, and recommendations for diverse audiences as well as creation of and contribution to grant proposals.. 
  • Demonstrated ability to collaborate effectively with scientists, engineers, IT partners, and institutional stakeholders. 

The annual base salary range for this position is from $126,984 to $200,678, and pay offered will be based on experience and qualifications. This position may be elibigle for relocation.
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 (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), and paid parental leave (up to 4 weeks).


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.