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Full Time Biotech Data Science Jobs in Seattle, WA

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

Sonsoft Inc

Data Science Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US ...

Resourceful

Data Scientist (Seattle)

Seattle, WA · On-site

$150K - $175K/yr

AI & Data Science Employment Type: Full-time Job Summary We are looking for a Senior Data Scientist with hands-on expertise in building Generative AI applications using Knowledge Graphs, Graph ...

Read AI

VP of Data Science (Seattle)

Seattle, WA · On-site

$230K - $250K/yr

Overview We are seeking a strategic and hands-on VP of Data Science to lead Read AI's core ... This is a full-time position. Applicants must be authorized to work for any employer in the U.S. We ...

Pfizer

Head of AI Clinical Excellence

Bothell, WA

$89K - $121K/yr

PhD in Life Sciences, Clinical Research, Data Science, Biostatistics, Computer Science, Engineering, or related field and 5+ years of relevant experience within pharmaceutical, biotechnology, CRO ...

TecTammina

Data Scientist(Full Time)

Redmond, WA · On-site

Ability to communicate clearly in writing and verbally Willingness to work in team and to received directions Must be able to meet and communicate with internal clients and data scientists Gather ...

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All JobsBiotech Data Science JobsFull Time Biotech Data Science JobsFull Time Biotech Data Science Jobs in Seattle, WA

Full Time Biotech Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do full time biotech data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time 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.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What is a full time biotech data science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What are the key skills and qualifications needed to thrive as a full time biotech data scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.
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 Full Time Biotech Data Science jobs in Seattle, WA? For Full Time Biotech Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Full Time Biotech Data Science jobs in Seattle, WA look for? The top searched job categories for Full Time Biotech Data Science jobs in Seattle, WA are:
Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 93% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Re-posted 26 days ago

Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
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