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Bioinformatics Data Analyst Jobs in Seattle, WA (NOW HIRING)

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

Analyze, interpret, and document experimental data while maintaining rigorous scientific standards. * Use AI and collaborate closely with the BRI Bioinformatics team to integrate computational and ...

Showing results 41-60

Bioinformatics Data Analyst information

See Seattle, WA salary details

$7

$52

$93

How much do bioinformatics data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for bioinformatics data analyst in Seattle, WA is $52.17, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $55.82 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

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

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

What are popular job titles related to Bioinformatics Data Analyst jobs in Seattle, WA?

For Bioinformatics Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in Seattle, WA look for?

The top searched job categories for Bioinformatics Data Analyst jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Bioinformatics Data Analyst jobs?

Cities near Seattle, WA with the most Bioinformatics Data Analyst job openings:

Infographic showing various Bioinformatics Data Analyst job openings in Seattle, WA as of August 2026, with employment types broken down into 71% Full Time, 7% Part Time, 4% Temporary, and 18% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $108,524 per year, or $52.2 per hour.

Senior Manager, Analytical AI Clinical Development

Bristol-Myers Squibb

Seattle, WA • Hybrid

$167K - $202K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Bristol Myers Squibb rating

8.2

Company rating: 8.2 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

32nd of 86 rated pharmaceutical


Job description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it. Job Position Summary Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the Senior Manager - Analytical AI in Clinical Development will play a key role in designing and deploying machine learning pipelines to optimize clinical trial operations. This individual will engage with cross-functional stakeholders to deliver impactful AI-based solutions and ensure their seamless integration into business processes, driving efficiency and enhancing decision-making across the drug development portfolio.

Key Responsibilities and Major Duties 1. Develop and Deploy Machine Learning Pipelines: Apply expertise in machine learning to create, implement, and optimize end-to-end pipelines that address critical business problems in clinical study design and execution. Automate workflows to process and analyze complex datasets, such as clinical trial protocols, real-world evidence, and patient recruitment data.

Ensure the scalability, reliability, and robustness of deployed machine learning solutions for real-time decision support. 2. Drive Stakeholder Engagement and Collaboration: Partner with cross-functional teams, including IT, medical, development, and biostatistics groups, to co-develop AI-driven solutions aligned with business priorities.

Act as liaison between technical teams and non-technical stakeholders, ensuring alignment on objectives and fostering a collaborative environment for successful solution delivery. Translate technical insights and model results into actionable strategies for clinical operations teams. 3.

Manage AI Product Lifecycle: Oversee the lifecycle of AI products, from ideation and development to deployment and monitoring. Develop and execute detailed project plans that align with clinical development timelines, ensuring timely delivery of AI solutions. Conduct post-deployment analysis to measure the impact of implemented solutions and identify areas for continuous improvement.

4. Stay Ahead of AI Trends in Clinical Development: Continuously evaluate emerging trends and advancements in data science and AI, integrating cutting-edge techniques such as natural language processing (NLP) and predictive analytics into clinical trial workflows. Qualifications Education: BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines.

Advanced degrees (MBA, MS, or Ph.D.) in a relevant field (computer science/computational biology/bioinformatics etc.) preferred. Experience: Minimum of 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems. Proven ability to deliver measurable impact through AI and advanced analytics solutions

Technical Skills: Strong foundation in statistical methods and their application to business problems, preferably in a clinical development setting Experience designing and implementing supervised, unsupervised and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.) Experience with time series forecasting and Monte Carlo simulations Proficiency in Python and SQL is required Familiarity with CI/CD workflows and Git/GitHub for version control. Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster). Experience with Natural Language Processing techniques and Large Language Models is highly preferred Experience working with real-world datasets (RWD) is highly preferred Experience in bioinformatics/computational biology is a plus Experience with Streamlit/Dash/Shiny app development is a plus Soft Skills: Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for varied audiences

Strong leadership and interpersonal skills to foster stakeholder engagement and cross-functional collaboration. Preferred Expertise: Knowledge of drug development and clinical trial operations is highly desirable. Experience managing AI product lifecycles and integrating solutions into business operations.

#LI-Hybrid We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway. Compensation Overview: Brisbane - CA - US: $167,370 - $202,807 Cambridge Crossing: $167,370 - $202,807 Princeton - NJ - US: $152,150 - $184,370 Seattle - WA: $167,370 - $202,807 The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities.

We determine starting pay thoughtfully - carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits: Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans - including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability). U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year. Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day. U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits How We Work Where you work matters - because collaboration, innovation and patient impact happen in many settings

Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working

Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com

Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process

Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number

Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account. R1605063 : Senior Manager, Analytical AI Clinical Development.


What Bristol Myers Squibb employees say

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Bristol-Myers Squibb logo

About Bristol-Myers Squibb

Sourced by ZipRecruiter

Bristol-Myers Squibb is a world-renowned global Biopharmaceutical company headquartered in New York, NY, US. Established in 1887, the company has more than 130 years’ worth of history dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. The company operates in the healthcare industry and thrives on providing a range of pharmaceutical products and services for various medical fields, like oncology, cardiovascular diseases, and immunoscience. Notably, Bristol-Myers Squibb is known for its commitment to relentless research and innovative drug development, which has led to breakthroughs like Opdivo, one of the first immunotherapies.

Industry

Scientific research and development services and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US