Senior Data Scientist, Care Access
$140-190k
More information about location
Decentralized clinical research & trial services
Be an early applicant
Decentralized clinical research & trial services
501-1000 employees
Be an early applicant
$140-190k
More information about location
501-1000 employees
Company mission
To engage every healthcare professional in clinical research and to make clinical trials a care option for every patient.
Role
Who you are
- Statistical & ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting
- Model Monitoring & Fairness: 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
- Technical Toolset: 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
- Cloud & Data Infrastructure: 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)
- Regulated Data Handling: 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
- Collaborative Communication: 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
- Domain Knowledge: 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
- 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
What the job involves
- As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health’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.
- You’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
- 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
Our take
Through a network of distributed clinical research sites, on-demand popup sites, mobile infrastructure, and traveling clinical professionals, Care Access allows for decentralized clinical trials - focused on underserved communities.
Decentralized and virtually managed trials exploded in popularity during the height of the pandemic, and now they look set to stay. Care Access was established before this boom, and is therefore in a strong position to lead the way as this type of trial becomes more mainstream.
The company acquired IBPClin, in 2022 and CEMEC in 2025, both leading clinical trial centers in Brazil. These acquisitions highlight Care Access's intention to grow in South America as well as at home in the US. On top of this, it has opened a new clinical research site in Poland, in another move towards establishing a global presence.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- PTO/Vacation days, sick days, Holidays
- 100% paid Medical, Dental, and Vision Insurance. 75% for dependents
- HSA plan Short-term disability, long-term disability, Life Insurance
- Continued Education Allowance
- Culture of growth and equality
- 401K plan and matching contribution
Company HQ
Downtown Crossing, Boston, MA
Leadership
Ahmad Namvargolian
(Founder & CEO)Was a Research Scientist at the Lawrence Berkeley National Laboratory in California. Holds a Master's in Public Policy from the University of Chicago.
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