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Temporary Clinical Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

NLM Data Scientist

Bethesda, MD ยท On-site

$110 - $150/hr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Background in clinical data analytics and healthcare informatics * Experience with data ...

NLM Data Scientist

Bethesda, MD ยท On-site

$100K - $115K/yr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Background in clinical data analytics and healthcare informatics * Experience with data ...

Senior AI Data Scientist I

Alameda, CA ยท On-site

$143.50 - $203/hr

The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug ...

Clinical Data & Scientific Analysis * Work directly with patient-level EHR data to understand ... clinical events, care pathways, and how care delivery is represented in the underlying data.

Showing results 21-40

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 Sep 4, 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 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 the key skills and qualifications needed to thrive as a temporary clinical data scientist?

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 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:

Senior Clinical Data Scientist

Unlearn

San Francisco, CA โ€ข On-site

$160 - $210/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 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 donโ€™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 marketingโ€”but regardless of where we come from, Unlearners share some common traits:

  • Unlearners are ambitious; we arenโ€™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.

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 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 Unlearnโ€™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.

  • Evaluate data quality, bias, and limitations and proactively propose mitigation strategies.

  • 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.

  • 5+ 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.

  • Prior experience in forward-deployed, client-facing settings.

  • Experience in clinical/healthcare data.

  • Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM).

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.

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