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Full Time Biotech Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Jul 18, 2026, the average yearly pay for full time biotech data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
More about Full Time Biotech Data Science jobs
What cities are hiring for Full Time Biotech Data Science jobs? Cities with the most Full Time Biotech Data Science job openings:
What are the most commonly searched types of Biotech Data Science jobs? The most popular types of Biotech Data Science jobs are:
What states have the most Full Time Biotech Data Science jobs? States with the most job openings for Full Time Biotech Data Science jobs include:
What job categories do people searching Full Time Biotech Data Science jobs look for? The top searched job categories for Full Time Biotech Data Science jobs are:
Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 1% Part Time, 1% Temporary, 5% Contract, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

Genentech

South San Francisco, CA • On-site

Full-time

Posted 18 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical

Job description

Job Summary:
Genentech is dedicated to delivering innovative data analytics solutions as part of their Pharma vision. As a Senior Data Scientist and Statistician, you will advance data science across Pharma Technical Operations, collaborating with various teams to design experiments, analyze data, and develop tools that enhance drug development.
Responsibilities:
• Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.
• Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.
• Design and oversee studies to generate high-quality data for robust statistical analysis.
• Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.
• Interpret results and clearly communicate findings, influencing strategic and operational decisions.
• Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.
• Build and sustain strong collaborations with internal and external stakeholders.
• Design and deliver training in statistics and data science to upskill the organisation.
• Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.
• Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.
Qualifications:
Required:
• Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.
• Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics.
• Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.
• Strong familiarity with regulatory guidelines (FDA, EMA).
• Excellent collaborative skills for working in multidisciplinary teams.
• Outstanding communication skills for reporting and stakeholder liaison.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects.
• High attention to detail to ensure accuracy and reliability.
• Self-motivated, able to work independently and coaching junior colleagues in teams.
• Keen on staying updated with new developments in statistics and data science.
• Passionate about continuous improvement and learning.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

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Hours and flexibility

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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