RefinedScience

Data Scientist

• Collaborate in the development and maintenance of documentation of data definitions and abstraction procedures
• Efficiently identify and abstract pathology, treatment and other clinical data from medical records that is thorough and accurate
• Maintain REDCap database for disease area(s)
• Think critically to identify potential problems affecting the abstraction process for improvement and quality control
• Perform quality review on work completed by other data abstractors
• Review data quality dashboards and make corrections
• Address data quality questions from a multidisciplinary team of data scientists, bioinformaticians, and clinical scientists
• Manage process documentation
• Translation of healthcare and clinical concepts for data engineering work
• Coordination with clinicians for clarification on abstraction procedures and clinical concepts
• Support the multidisciplinary team in automated abstraction activities

Clinical Data Manager – 2

Machine Learning Engineer

• Analyze single-cell and multiomics datasets to extract biological insights supporting precision medicine and drug development programs
• Apply and evaluate machine learning and deep learning approaches to single-cell data for tasks such as cell type classification, biomarker discovery, and patient stratification
• Explore and prototype generative AI and LLM-based approaches to accelerate biological data interpretation and scientific workflows
• Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects
• Document and optimize computational workflows following reproducible research best practices
• Present findings through technical reports, visualizations, and presentations to cross-functional teams

Clinical Data Manager – 2

Bioinformatics Machine Learning Intern