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Freelance Biotech Data Science Jobs (NOW HIRING)

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

... Science, Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related technical discipline) #J-18808-Ljbffr

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

As of Aug 19, 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.

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Freelance Biotech Data Science jobs near you
Infographic showing various Freelance Biotech Data Science job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Director, Data Science and Artificial Intelligence - Oncology / Prostate Cancer

Jobtailor

California, MO • On-site

$120 - $180/hr

Other

Posted 13 days ago

Job description

Responsibilities
  • Serve as primary scientific and strategic business leader for clinical‑stage Prostate Cancer Programs within Data, Data Science, and AI
  • Represent Data Science to Compound Team(s), where you will identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development
  • Provide subject matter expertise in prostate cancer clinical development, trial design, real‑world evidence generation, and ML/AI tools
  • With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets
  • Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions
  • Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs
Requirements
  • Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high‑dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science)
  • A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real‑world evidence, or 8 years in clinical practice with outcomes research experience
  • Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials
  • An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining
  • Hands‑on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem‑solving abilities
  • Experience working with healthcare‑related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research
  • Prior experience working and driving external partnerships, either corporate or academic
  • Proven track record of managing timelines and driving key deliverables in a matrixed organization
  • Excellent communication, interpersonal, and written skills
Hard Skills
  • data science
  • machine learning
  • artificial intelligence
  • biostatistics
  • predictive technologies
  • data mining
  • clinical trial design
  • real‑world evidence generation
  • high‑dimensional datasets
  • clinical oncology
Soft Skills
  • problem-solving
  • communication
  • interpersonal skills
  • written skills
  • leadership
  • strategic thinking
  • collaboration
  • project management
  • time management
  • stakeholder engagement
Certifications & Qualifications
  • PhD
  • MD
  • PharmD
  • MS
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