Associate Clinical SAS Programmer/Junior Statistician

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFR CT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFR CT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare. Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide. The Associate Clinical SAS Programmer/Junior Statistician plays a pivotal role in the clinical trial lifecycle by transforming raw clinical trial data into formatted, analysis-ready datasets and generating the outputs required for, conference, publication, and regulatory submissions. The Associate Clinical SAS Programmer/Junior Statistician will interact well with the Heartflow Clinical Research staff and collaborate effectively with principal investigators to ensure that data structure, quality and reporting strictly adhere to industry standards and regulatory guidelines. The Associate Clinical SAS Programmer/Junior Statistician will have demonstrated experience programming in SAS, exceptional organizational skills, excellent attention to detail, and will be comfortable working in a fast-paced start-up culture. This position will be remote with a preference to be based within driving distance of the San Francisco, CA office unless otherwise agreed upon. Job Responsibilities : Dataset Development & Mapping: Develop, validate, and maintain SAS programs to create SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) datasets from raw clinical databases. Create and review dataset specifications based on the protocol, and case report forms (eCRFs). Draft and implement Statistical Analysis Plan (SAP) and create mock-up shells for Tables, Listings, and Figures (TFLs) under senior guidance. TFL Generation: Program, test, and validate Tables, Listings, and Figures (TFLs) required for Conferences, Publications, Clinical Study Reports (CSRs), Interim Analysis, Data Monitoring Committees (DMC), and safety monitoring. Perform routine statistical analyses (such as descriptive statistics, t-tests, ANOVA, and basic regression modeling) using SAS. Standards & Compliance: Ensure strict compliance with CDISC standards (SDTM/ADaM) and internal standard operating procedures (SOPs). Validation & Quality Control: Perform independent double-programming to validate high-risk datasets and statistical outputs, ensuring 100% accuracy and reproducibility of clinical trial results. Reporting and Interpretation: Assist in writing the statistical methods and results sections for Clinical Study Reports (CSRs), abstracts, and manuscripts. Prepare clear, concise summaries of statistical findings for internal project teams and clinical investigators. Effectively translate complex statistical requests from principal investigators and biostatisticians into programmatic solutions. Manage project deliverables to ensure they remain within the timeline and budget Develop timelines for programming. Participate in and lead process improvement activities within the department and cross functionally, including SOP development Work with other clinical research team members on study start-up activities inc…