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Temporary Clinical Data Scientist Jobs (NOW HIRING)

Unlearn

Clinical Data Scientist

San Francisco, CA · On-site

$140K - $160K/yr

The Role Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning ...

N-Power Medicine

Clinical Data Scientist

Redwood City, CA · On-site

$132K - $226K/yr

N-Power Medicine is seeking a Clinical Data Scientist to own the final stage of its clinical data pipeline, transforming complex datasets from manual abstraction, AI models, and electronic sources ...

DiaSorin

Clinical Data Scientist

Austin, TX

Experience in molecular and clinical data analysis. * Experience in searching through and understanding scientific and regulatory literature. * Experience in working independently in a fast-paced ...

DiaSorin

Clinical Data Scientist

Austin, TX · On-site

Experience in molecular and clinical data analysis. * Experience in searching through and understanding scientific and regulatory literature. * Experience in working independently in a fast-paced ...

Unlearn

Senior Clinical Data Scientist

San Francisco, CA · On-site

$160K - $180K/yr

Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning ...

Latica AI

Clinical Data Scientist (Remote)

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for Karius's large-scale commercial real-world evidence registry. This role sits at the intersection of ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for Karius's large-scale commercial real-world evidence registry. This role sits at the intersection of ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

Position Summary The Sr. Clinical Data Scientist will serve as the primary data architect for Karius's large-scale commercial real-world evidence registry. This role sits at the intersection of ...

CVS Health

Data Scientist - Clinical AI

New York, NY · On-site

S. As a Data Scientist - ClinicalAI , you are tasked with activating CVS Health's clinical data repository to improve outcomes across multiple lines of business and use cases. You will serve as a ...

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Temporary Clinical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do temporary clinical data scientist jobs pay per year?

As of Aug 1, 2026, the average yearly pay for temporary clinical data scientist 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 are the key skills and qualifications needed to thrive as a Temporary Clinical Data Scientist, and why are they important?

To thrive as a Temporary Clinical Data Scientist, you need a solid background in statistics, data analysis, and clinical research, often supported by a degree in life sciences, statistics, or a related field. Familiarity with data management tools like SAS, R, Python, and clinical trials databases, as well as knowledge of GCP and regulatory compliance, is typically required. Strong analytical thinking, attention to detail, and effective collaboration skills help you stand out in this fast-paced, project-based role. These competencies are vital for ensuring accurate, compliant data analysis that supports timely and reliable clinical research outcomes.

What is a Temporary Clinical Data Scientist?

A Temporary Clinical Data Scientist is a professional hired on a short-term or contract basis to analyze and interpret clinical data, often for pharmaceutical, biotechnology, or healthcare organizations. Their main responsibilities include managing and validating clinical trial data, performing statistical analyses, and ensuring the integrity and accuracy of data used in research studies. They collaborate closely with clinical research teams to support evidence-based decisions and regulatory submissions. The temporary aspect allows organizations to address specific project needs or surges in workload without committing to a permanent hire.

What are some typical challenges faced by Temporary Clinical Data Scientists, and how can they effectively navigate them?

Temporary Clinical Data Scientists often face the challenge of quickly adapting to new teams, data systems, and study protocols. Because their contracts are short-term, they must efficiently learn organization-specific processes and contribute meaningful insights within a limited timeframe. Building strong communication with permanent staff and proactively seeking clarity on project goals can help overcome these hurdles. Additionally, staying organized and maintaining meticulous documentation ensures smooth handovers and project continuity.

What is the difference between Temporary Clinical Data Scientist vs Clinical Data Analyst?

AspectTemporary Clinical Data ScientistClinical Data Analyst
CredentialsTypically requires a degree in data science, biostatistics, or related field; familiarity with programming languages like R or PythonOften holds a degree in statistics, data analysis, or related field; proficiency in data management tools
Work EnvironmentContract-based, project-specific roles within clinical research or pharmaceutical companiesFull-time or part-time roles in healthcare, research institutions, or biotech firms
Employer & Industry UsageUsed by CROs, pharma companies, and research organizations for data modeling and analysisEmployed in hospitals, research centers, and biotech firms for data reporting and interpretation

While both roles involve analyzing clinical data, a Temporary Clinical Data Scientist focuses on advanced data modeling and predictive analytics on a contract basis, whereas a Clinical Data Analyst primarily handles data reporting and basic analysis in a more permanent or ongoing capacity.

What cities are hiring for Temporary Clinical Data Scientist jobs? Cities with the most Temporary Clinical Data Scientist job openings:
What are the most commonly searched types of Clinical Data Scientist jobs? The most popular types of Clinical Data Scientist jobs are:
What states have the most Temporary Clinical Data Scientist jobs? States with the most job openings for Temporary Clinical Data Scientist jobs include:
Temporary Clinical Data Scientist jobs near you

Clinical Data Scientist

Unlearn

San Francisco, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Our Mission and Vision
Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don't just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
About Our Team
We come from a variety of backgrounds ranging from machine learning to marketing-but regardless of where we come from, Unlearners share some common traits:
  • Unlearners are ambitious; we aren't intimidated by big, challenging goals.
  • Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
  • Unlearners are gritty; we never give up, setbacks just make us try harder.
  • Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo
  • Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
  • Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.

Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
The Role
Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning scientists, engineers, clinical scientists, and product partners, they transform complex clinical data into high-quality, well-understood datasets tailored for modeling and other downstream applications. The role spans multiple disease areas and data sources, requiring strong software practices, careful data curation, and the ability to quickly develop clinical domain expertise. In addition to internal development, Clinical Data Scientists often work in forward-deployed settings, partnering directly with clients to ensure Unlearn's solutions are appropriately tailored to real-world study designs.
Responsibilities
  • Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
  • Analyze longitudinal clinical datasets, developing a strong understanding of outcome measures, biomarkers, and other variables commonly used in clinical research across multiple disease areas.
  • Collaborate closely with cross-functional teams of data scientists, machine learning scientists, engineers, and clinicians to design, build, and maintain robust data products grounded in sound data organization, domain knowledge, and careful analysis.
  • Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators, including in forward-deployed, client-facing settings.

Requirements
  • BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline.
  • 2+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis.
  • Experience working with complex or nuanced datasets.
  • Fluency in Python and its essential data science tools (numpy, pandas).
  • Demonstrated experience in collaborative software development.
  • Experience with clinical datasets in applied machine learning applications.
  • Experience working in multidisciplinary teams that include scientists, engineers, and product management.

Nice to Haves
  • Prior experience in forward-deployed, client-facing settings.
  • Experience in clinical/healthcare data.

Benefits & Perks
The following benefits and perks are for full time roles only.
  • Generous equity participation
  • 100% company-covered medical, dental, & vision insurance plans
  • 401k plan with matching
  • Flexible PTO plus company holidays
  • Annual company-wide break December 24 through January 1
  • Commuter benefits
  • Paid Parental Leave

Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you're excited about this role, and your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

Apply