1

Freelance Biotech Data Science Jobs (NOW HIRING)

MSAT Data Science Engineer

Newark, CA · On-site

$125 - $150/hr

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 ...

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 ...

Showing results 21-40

Freelance Biotech Data Science information

See salary details

$14

$47

$132

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

As of Sep 9, 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.

More about Freelance Biotech Data Science jobs

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:

What other helpful pages are available for Freelance Biotech Data Science?

Other pages related to Freelance Biotech Data Science:

Infographic showing various Freelance Biotech Data Science job openings in the United States as of September 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, Feasibility Data Science

Blue Bell, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

Director SSU

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.


As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.


ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive advanced analytics and business transformation across ICON's Feasibility, Study Start-up and Activation (FSA) teams. In this role, you will lead the design and delivery of advanced analytics and data science capabilities that support clinical trial feasibility, protocol optimization, study planning, country and site strategy, enrollment forecasting, and related decision support across the clinical development lifecycle. Partnering with cross-functional leaders, you will translate complex clinical and operational questions into scalable analytical solutions, reusable methods, and decision-ready insights. This position also involves leading a high-performing team, shaping analytical standards and governance, and advancing a modern, technology-enabled approach to study planning and feasibility.

What you will be doing

  • Leading and inspiring a data science team to deliver actionable insights that improve performance, quantify value, and enable smarter decisions.

  • Building a strategic analytics roadmap and deliver high-impact solutions-forecasting, risk prediction, scenario planning, and optimization to improve cycle time and outcomes.

  • Establishing best practices for analytics delivery, governance, and model lifecycle management to support scalable and reliable insights.

  • Improving data foundations by collaborating with platform and data teams-strengthening data quality, access, definitions, and automation.

  • Partnering with functional leaders to define problems, shape solutions, and embed insights into day-to-day decision-making and operational processes.

  • Communicating with clarity and influence-turning complex analysis into compelling narratives and recommendations leadership and sponsors.

Your profile

  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Epidemiology, Operations Research, Biomedical Informatics, Engineering, or a related field.

  • Advanced degree preferred, preferably Master's or PhD in a quantitative, computational, or health-related discipline.

  • Significant experience in data science, advanced analytics, biostatistics, or quantitative strategy within CRO, pharmaceutical, biotechnology, healthcare, or clinical research settings.

  • Track record of delivering advanced analytics solutions that changed business performance, ideally in complex operational environments.

  • Experience leading teams and developing talent; comfortable coaching, setting direction, and building a high-performing culture.

  • Strong knowledge of statistical analysis, predictive modeling, machine learning, simulation, optimization, and data interpretation.

  • Proficiency in relevant analytical and programming tools such as Python, R, SQL, and related platforms.

  • Confident stakeholder partner with exceptional communication skills and the ability to influence across functions and levels.


Employment with ICON is contingent upon having the legal right to work in the country where the role is based.


Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.


Benefits may include:

  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.


If you require reasonable accommodations during the recruitment process, please let us know or submit a requesthere.

Are you a current ICON Employee? Please click here to apply