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Freelance Biotech Data Science Jobs (NOW HIRING)

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

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How much do freelance biotech data science jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for freelance biotech data science in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Biotech Data Science vs Biotech Data Analyst?

AspectFreelance Biotech Data ScienceBiotech Data Analyst
CredentialsTypically requires advanced degrees (Master's/PhD) in data science, bioinformatics, or related fieldsOften requires a bachelor's or master's degree in biology, bioinformatics, or related areas
Work EnvironmentIndependent, project-based, remote or on-site consultingFull-time or part-time employment within biotech companies or labs
Employer & Industry UsageFreelance consultants working with biotech firms, research institutions, or startupsBiotech companies, research labs, pharmaceutical firms

Freelance Biotech Data Scientists focus on complex data modeling, machine learning, and bioinformatics projects independently, while Biotech Data Analysts typically handle data interpretation, reporting, and visualization within organizations. The freelance role offers flexibility and diverse projects, whereas the analyst role provides a stable, team-based environment.

What cities are hiring for Freelance Biotech Data Science jobs? Cities with the most Freelance 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 Freelance Biotech Data Science jobs? States with the most job openings for Freelance Biotech Data Science jobs include:
Senior Data Scientist

Senior Data Scientist

Genentech

South San Francisco, CA • On-site

Full-time

Posted 8 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 73 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Genentech logo

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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