RefinedScience

• Data abstraction from open text notes • Efficiently identify and manually abstract pathology, treatment and other clinical data from open text medical notes that is thorough and accurate • Collaborate in the development and maintenance of documentation of data definitions and abstraction procedures • Maintain EDC database for disease area(s) • Quality control • 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 • Multidisciplinary Coordination • 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

• Assist in the end-of-month close process, including working with our accounting team, doing reconciliations, and providing supporting schedules • Review journal entries for accuracy in NetSuite. This role does not directly make journal entries. • Lead project cost accounting and revenue recognition activities to ensure accurate and timely financials • Assist with forecasting and budgeting processes, partnering with leadership on inputs and variance tracking • Assist with cash flow and board reporting, preparing materials and supporting schedules for leadership and the board • Support work with our annual financial audits • Support monthly finance meetings for Laboratory, AI + Infrastructure, and C-suite review • Review billing and expenses for accuracy, completeness, and proper documentation • Approve expenses and manage workflows in Bill.com and ensure tracking and timely processing of invoices in coordination with the AP team. • Track and support royalty and milestone obligations, ensuring commitments are met and recorded correctly • Calculate and track tax obligations, including state and municipal tax, and provide supporting information to our tax team • Contribute to internal reporting that helps leadership make informed decisions • Assist with vendor contracting, including intake, review coordination, and tracking of agreements. • Create and track purchase orders, ensuring proper approvals and accurate records • Support the partner data licensing process from initiation through execution • Maintain document retention practices and organized records across operational and legal functions • Partner across finance, legal, and contracting to keep day-to-day operations running smoothly • Help establish and refine scalable processes that support efficiency, compliance, and growth • Step in where needed across the business, with the opportunity to grow into and take ownership of functional areas as the organization matures.

• Design and implement cloud infrastructure on GCP using infrastructure as code • Manage cloud networking components including VPCs, load balancers, DNS, Cloud Router, NAT, and firewall rules • Manage and optimize cloud compute resources including GCE instances, Cloud Run, and related services • Build and maintain CI/CD pipelines using tools such as GitHub Actions or Google Cloud Build to support reliable, repeatable deployments • Design and maintain observability infrastructure including metrics collection, log aggregation, and dashboards to surface actionable insights for engineering and research teams • Implement and maintain security and compliance controls appropriate to a regulated healthcare research environment • Manage cloud services including backup and disaster recovery • Support deployment and maintenance of internal applications and their underlying infrastructure • Champion containerization best practices and support containerized workload deployments • Collaborate with cross-functional teams to ensure seamless integration with existing systems and workflows • Troubleshoot and resolve cloud infrastructure and deployment issues • Create and maintain clear technical documentation, runbooks, and architecture diagrams • Stay current with cloud technology trends and evaluate new tools and approaches relevant to the organization

• 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

• 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