RefinedScience

• 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

• 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

Data Engineering Intern At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a motivated Data Engineering Intern to join our team. This internship is open to undergraduate and graduate students who are interested in building data infrastructure that supports advanced analytics, data science, and AI-driven insights in healthcare and life sciences. You will work closely with data scientists, bioinformaticians, and engineers to help design, build, and improve data pipelines and platforms that power RefinedScience’s research and analytics initiatives. KEY ACTIVITIES Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data Support integration of data from multiple sources (e.g., clinical data, analytics outputs, external datasets) Help develop and optimize ETL/ELT workflows to ensure data quality and reliability Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows Contribute to data modeling, documentation, and best practices for data infrastructure Participate in code reviews, testing, and performance improvements Participate in Quality Reviews and Troubleshooting Communicate progress and findings to cross-functional teams MUST HAVES

• Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data • Support integration of data from multiple sources (e.g., clinical data, analytics outputs, external datasets) • Help develop and optimize ETL/ELT workflows to ensure data quality and reliability • Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows • Contribute to data modeling, documentation, and best practices for data infrastructure • Participate in code reviews, testing, and performance improvements • Participate in Quality Reviews and Troubleshooting • Communicate progress and findings to cross-functional teams

• Assist in the design, development, testing, and maintenance of software applications • Write clean, readable, and well-documented code • Collaborate with senior developers, product managers, and other stakeholders • Participate in code reviews and team discussions • Help troubleshoot bugs and improve system performance • Learn and apply best practices around version control, testing, and deployment • Contribute ideas and solutions during technical planning and problem-solving sessions