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Senior Data Scientist

Care AccessUSA RemoteApplied Machine Learning & Analytics
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Salary
$140K - $190K USD
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Based in the United States with a remote work arrangement, this position involves designing advanced statistical models and machine learning systems for clinical trials. The role suits an experienced quantitative professional who wants to apply predictive analytics within a regulated healthcare data environment.

Role Overview

Care Access is hiring a full-time Senior Data Scientist to advance data-driven solutions for clinical trials. The professional in this role will build statistical models and machine learning algorithms that enhance patient enrollment and trial management. Working within a regulated healthcare sector, the practitioner ensures adherence to privacy standards while designing predictive analytics tools alongside cross-functional partners like machine learning engineering.

Key Responsibilities

Build and refine forecasting models targeting site randomization and enrollment trends to support resource planning across trial locations.
Construct algorithms that match and rank patients for suitable clinical trials to boost recruitment efficiency.
Design predictive statistical models utilizing Bayesian inference, time-series forecasting, and regression analysis for clinical trial challenges.
Monitor production machine learning models to detect performance drift and bias, preserving fairness and regulatory compliance.
Construct and optimize analytical pipelines and workflows using cloud infrastructure.
Ensure data practices comply with privacy frameworks such as HIPAA and GDPR.

Requirements

Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative discipline, or equivalent professional experience.
At least 5 years of practical data science or analytics experience, ideally within clinical research, healthcare, or regulated data settings.
Advanced coding capabilities in Python and SQL, alongside familiarity with data transformation utilities like dbt.
Practical background with cloud analytics and machine learning services on AWS.
Knowledge of regulatory standards covering sensitive health information, including GDPR and HIPAA.

Skills and Tools

Python libraries such as scikit-learn, PyMC, and mlforecast
SQL and dbt
AWS Athena, Redshift, and SageMaker
Bayesian methods, regression analysis, and time-series forecasting
Model monitoring and bias mitigation techniques

Salary and Benefits

Annual salary range of $140,000 to $190,000 USD
Paid time off and company-paid holidays
Fully employer-paid medical, dental, and vision insurance plan choices
Health Savings Account with bi-weekly employer contributions and Flexible Spending Accounts
Employer-paid short-term and long-term disability coverage
401(k) retirement plan featuring a company match

About the Company

Care Access operates research locations, mobile clinics, and employs clinicians globally to bring health services and research directly to communities facing barriers to care. The organization runs initiatives such as Future of Medicine and Difference Makers to expand health screenings and support local wellbeing efforts. The enterprise prioritizes inclusivity and operates as an equal opportunity employer.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

PythonSQLdbtAWS AthenaAWS RedshiftAWS SageMakerscikit-learnPyMCmlforecastAWSMachine Learning

Questions candidates ask

Is this position fully remote?

Yes, the role is remote within the United States with less than 10% travel requirements.

What is the salary range for the Senior Data Scientist?

The expected pay range is $140,000 to $190,000 USD per year for full-time team members.

What educational background is required?

A minimum of a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field is required, though equivalent professional experience is also accepted.

How many years of experience are needed?

Candidates must have a minimum of 5 or more years of hands-on data science or analytics experience, preferably in a healthcare or clinical research environment.

What cloud platform is used for data workflows?

The role utilizes AWS tools including Athena, Redshift, and SageMaker.

Ready to apply?

The application is on the official Care Access careers page.

Apply on company site