Senior Data Scientist

🕒 Abril 24

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OneStudyTeam

SiteLinkedInTodas as Vagas

201 - 500 funcionários

⚕️ Seguro de Saúde

🧬 Biotecnologia

💊 Farmacêutico

Healthcare Insurance • Biotechnology • Pharmaceuticals

OneStudyTeam é uma empresa que fornece a plataforma StudyTeam, uma solução baseada na nuvem projetada para facilitar o processo de ensaios clínicos para sites de pesquisa e patrocinadores. A plataforma melhora a gestão de recrutamento de pacientes ao simplificar os fluxos de trabalho dos sites e oferecer insights em tempo real sobre dados de recrutamento e inscrição. Usada globalmente por mais de 10. 000 sites de pesquisa e confiada pelos principais patrocinadores biofarmacêuticos, a OneStudyTeam visa melhorar a eficiência dos ensaios clínicos e reduzir a carga sobre os sites de pesquisa.

Descrição

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

🎯 Requisitos

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

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities