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Biotech Data Science Jobs in Seattle, WA (NOW HIRING)

Pwc

Payer Healthcare Data Scientist, Manager

Seattle, WA · On-site

$99K - $232K/yr

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Systimmune

Director, Clinical Data Management

Redmond, WA · On-site

$190K - $250K/yr

... Computer Science, Statistics, or a related field required; Master's degree preferred. * Minimum 10 years of clinical data management experience within the pharmaceutical, biotechnology, or CRO ...

Systimmune

Clinical Data Analyst, Spotfire

Redmond, WA · On-site

$90K - $130K/yr

Collaborate with Clinical Data Managers, Biostatistics, Clinical Operations, and Clinical Science ... SystImmune is a leading and well-funded biotech company with a bright future. We offer an ...

Argenx

Medical Science Liaison (Northwest)

Seattle, WA · Remote

We are building a new kind of biotech company, one that maintains its roots as a science-based ... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ...

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All JobsBiotech Data Science JobsBiotech Data Science Jobs in Seattle, WA

Biotech Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do biotech data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for biotech data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

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

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
What are the most commonly searched types of Biotech Data Science jobs in Seattle, WA? The most popular types of Biotech Data Science jobs in Seattle, WA are:
What are popular job titles related to Biotech Data Science jobs in Seattle, WA? For Biotech Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Seattle, WA look for? The top searched job categories for Biotech Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Biotech Data Science jobs? Cities near Seattle, WA with the most Biotech Data Science job openings:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Seattle, WA as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.
Senior Director of Life Science Business Development

Senior Director of Life Science Business Development

Truveta

Seattle, WA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Senior Director of Life Science Business Development
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required at least once per year for an onsite meeting.
For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
Truveta is seeking a Senior Director of Life Sciences Business Development to accelerate growth within the pharmaceutical and biotechnology sectors. Reporting to the Vice President of Life Sciences Sales, this is a player/coach leadership role responsible for both individual revenue generation and leading a team of business development professionals.
The ideal candidate is a proven commercial leader who has successfully sold Real-World Data (RWD), Real-World Evidence (RWE), analytics, SaaS, or research solutions to life sciences organizations while also building, mentoring, and scaling high-performing sales teams.
This leader will carry an individual quota, directly manage a team of business development professionals, and serve as a trusted advisor to pharmaceutical, biotech, clinical development, epidemiology, HEOR, medical affairs, and data science stakeholders.
The successful candidate must be comfortable discussing complex scientific, clinical, and technical topics, including observational research, epidemiology, regulatory-grade evidence generation, AI/ML applications, healthcare data assets, and real-world data methodologies.
Responsibilities
Business Development & Revenue Leadership
    • Achieve and exceed individual revenue targets through direct management of strategic pharmaceutical and biotechnology accounts.
    • Develop executive-level relationships with key stakeholders across clinical development, medical affairs, HEOR, epidemiology, market access, commercial analytics, and data science organizations.
    • Lead complex, multi-stakeholder sales cycles from initial engagement through contract execution.
    • Develop and execute territory and account strategies that drive sustainable revenue growth.
    • Represent Truveta at industry conferences, scientific meetings, and customer events.

Team Leadership & Coaching
    • Lead, coach, and develop a team of business development professionals.
    • Recruit, onboard, and retain top commercial talent.
    • Establish performance expectations and accountability measures that drive consistent attainment.
    • Participate in strategic deal reviews, pipeline inspections, and forecasting activities.
    • Foster a culture of collaboration, continuous learning, and customer-centric execution.

Scientific & Technical Engagement
    • Engage confidently with scientific, clinical, and technical audiences regarding Truveta's data assets, research capabilities, and analytical solutions.
    • Translate complex healthcare data concepts into business value for life sciences customers.
    • Partner closely with Research, Product, Clinical Informatics, and Data Science teams to support customer needs and strategic opportunities.
    • Maintain a deep understanding of industry trends, regulatory changes, competitive offerings, and evolving customer requirements.

Strategic Leadership
    • Contribute to commercial strategy, market expansion initiatives, and product feedback loops.
    • Provide voice-of-customer insights to executive leadership.
    • Help shape go-to-market strategy and future team structure as the business scales.
    • Serve as a leader and mentor across the broader Life Sciences organization.

Key Qualifications
  • 10+ years of experience selling Real-World Data, Real-World Evidence, healthcare analytics, clinical research solutions, or related technology to life sciences organizations.
  • 3+ years of direct people management experience with a demonstrated track record of hiring, coaching, and developing successful sales professionals.
  • Proven history of exceeding revenue targets in enterprise-level life sciences sales environments.
  • Strong network of relationships across pharmaceutical and biotechnology organizations.
  • Demonstrated ability to engage credibly with scientific, clinical, technical, and executive stakeholders.
  • Strong understanding of Real-World Data, Real-World Evidence, observational research methodologies, epidemiology, healthcare data assets, and AI-enabled analytics.
  • Experience leading complex, consultative sales cycles involving multiple stakeholders and functional teams.
  • Excellent communication, executive presentation, and negotiation skills.
  • Willingness to travel as required.

Preferred Qualifications
  • Advanced degree in a scientific, clinical, public health, healthcare, or related discipline (MS, MPH, PharmD, PhD, MD, or equivalent).
  • Experience selling healthcare data, research platforms, clinical analytics, or AI-driven solutions.
  • Experience building and scaling commercial teams in a high-growth environment.
  • Familiarity with regulatory and evidence-generation use cases supporting pharmaceutical and biotechnology organizations.

Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We Offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person as soon as we are able)
  • The base pay for this position is $200,000 to $240,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. This role is eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

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