Senior Data Scientist @Care Access
Data and Analytics
Salary usd 140,000 - 1..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted YDay

[Hiring] Senior Data Scientist @Care Access

YDay - Care Access is hiring a remote Senior Data Scientist. ๐Ÿ’ธ Salary: usd 140,000 - 190,000 per year ๐Ÿ“Location: USA

Role Description

As a Senior Data Scientist, you will play a pivotal role in advancing Reify Healthโ€™s data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. Youโ€™ll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community.

How You'll Make An Impact

  • Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites.
  • Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion.
  • Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making.
  • AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant.
  • Data Pipeline & Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment.
  • Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling.
  • Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations.

Qualifications

  • Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting.
  • Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes.
  • Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt.
  • Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment).
  • Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices.
  • Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions.
  • Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data.

Requirements

  • Minimum of Masterโ€™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.

Benefits

  • 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
Before You Apply
๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Scientist @Care Access
Data and Analytics
Salary usd 140,000 - 1..
Remote Location
๐Ÿ‡บ๐Ÿ‡ธ USA Only
Employment Type full-time
Posted YDay
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๏ธ
๐Ÿ‡บ๐Ÿ‡ธ Be aware of the location restriction for this remote position: USA Only
โ€ผ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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