Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance forecasting models for site randomization and enrollment trends, facilitating improved planning and resource allocation across trial sites.

• Assist in projects aimed at creating algorithms that intelligently match patients to suitable clinical trials or rank them accordingly, thereby increasing recruitment efficiency and patient inclusion.

• Design and refine predictive models (including Bayesian inference, regression analysis, and time-series forecasting) to tackle key challenges in clinical trials and improve decision-making processes.

• Establish processes for monitoring machine learning models in production, identifying bias or performance drift to ensure that models remain fair, accurate, and compliant.

• Construct and optimize data pipelines and analytical workflows utilizing tools such as AWS Athena, Redshift, SageMaker, and dbt, to facilitate scalable model training and deployment.

• Ensure that all data science practices comply with HIPAA, GDPR, and other privacy regulations, incorporating compliance considerations into model development and data management.

• Collaborate closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and effectively communicate insights and recommendations.

⛳️ Requirements

• A minimum of a Master’s or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative discipline (or equivalent professional experience).

• At least 5+ years of practical experience in data science or analytics, preferably within healthcare, clinical research, or another highly regulated data environment.

• A solid foundation in statistical modeling and machine learning techniques, with experience in Bayesian methods, regression analysis, and time-series forecasting.

• Proficient in evaluating model performance and bias, with the capability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes.

• Advanced programming skills in Python (including libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, along with familiarity with data transformation tools like dbt.

• Practical experience with cloud-based analytics and machine learning services, particularly AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development and deployment).

• Experience handling sensitive healthcare or clinical trial data in accordance with regulations such as HIPAA and GDPR, demonstrating a strong commitment to data privacy and security best practices.

• Exceptional teamwork and meticulous verbal/written communication skills, with a proven record of collaborating with engineering and product teams to translate data science work into actionable business solutions.

• Knowledge of clinical research or health-tech environments is highly advantageous, including insights into clinical trial operations and a passion for enhancing patient outcomes through data.

🏝️ Benefits

• We value diversity and believe that the unique contributions each individual brings are key to our success. We do not discriminate based on race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.

• OneStudyTeam is currently unable to sponsor work visas.