Senior Data Scientist

CARE

. Develop and enhance forecasting models for site randomization and enrollment trends .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $140,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and enhancing forecasting models, with a strong foundation in statistical modeling and machine learning techniques. Proficient in building scalable data pipelines and ensuring compliance with privacy regulations in healthcare environments.

Highest-signal resume keywords

Statistical ModelingMachine Learning TechniquesPython ProgrammingAWS AthenaHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Bayesian InferenceRegression AnalysisTime-Series ForecastingModel Performance EvaluationSQL ProficiencyData Pipeline OptimizationAlgorithm DevelopmentBias Mitigation StrategiesData Science PracticesAnalytical Workflows

Soft Skills

TeamworkVerbal CommunicationWritten Communication

Tools & Technologies

AWS RedshiftAWS SageMakerDbtScikit-learnPyMCMlforecast

Industry Keywords

HealthcareClinical ResearchGDPR ComplianceData Privacy RegulationsClinical Trial Data

Tech Stack

Tools & technologies

Amazon RedshiftAWSPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Develop and enhance forecasting models for site randomization and enrollment trends
Build algorithms to match patients to or rank patients for appropriate clinical trials
Create and refine Bayesian inference, regression analysis, and time-series forecasting models
Monitor production machine-learning models for bias and performance drift
Build and optimize scalable data pipelines and analytical workflows using AWS Athena, Redshift, SageMaker, and dbt
Ensure data-science practices comply with HIPAA, GDPR, and other privacy regulations
Collaborate with machine-learning engineers, product managers, and stakeholders to integrate models into products
Communicate data insights and recommendations to the clinical research community

Requirements

What you’ll need

Minimum of Master’s or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience)
Minimum of 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment
Strong foundation in statistical modeling and machine learning techniques, including Bayesian methods, regression analysis, and time-series forecasting
Proficiency in evaluating model performance and bias, implementing AI monitoring tools and bias mitigation strategies
Advanced programming skills in Python, including libraries such as scikit-learn, PyMC, and mlforecast
Advanced SQL skills and familiarity with dbt
Hands-on experience with AWS Athena, Redshift, and SageMaker
Experience working with sensitive healthcare or clinical trial data under HIPAA and GDPR
Excellent teamwork and meticulous verbal/written communication abilities
Understanding of clinical research or health-tech environments is highly valuable
Must be able to work remotely within the United States
Care Access is unable to sponsor work visas at this time

Benefits

Comp & perks

Paid Time Off (PTO) and Company Paid Holidays
100% Employer paid medical, dental, and vision insurance plan options
Health Savings Account and Flexible Spending Accounts
Bi-weekly HSA employer contribution
Company paid Short-Term Disability and Long-Term Disability
401(k) Retirement Plan, with Company Match