Remote Associate Clinical SAS Programmer/Junior Statistician

About the role

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 Ability to explain mathematical and statistical concepts to non-statistical team members (like clinicians and Clinical Trial Managers). Strong analytical mindset with high attention to detail in data trends and anomalies. SAS proficiency required: Advanced knowledge of Base SAS, SAS/STAT, SAS/GRAPH, SAS/Macro facility, and SQL. CDISC Standards: Hands-on experience implementing SDTM and ADaM models. Data Types: Familiarity with Electronic Data Capture (EDC) systems and clinical data structures Statistical Knowledge : solid understanding of core biostatistical methods (e.g., survival analysis, longitudinal data analysis, categorical data analysis). Experience transitioning or integrating Python code alongside SAS for modern clinical trial analytics a plus. Educational Requirements