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 FFRCT 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 (FFRCT 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.
We are looking for a Systems Engineer III to own Heartflow's research data pipeline. In this role, you will generate the data that enables current and future algorithm and product research. You will partner with Data Scientists, Research Scientists, and engineering teams to understand our products, systems, and constraints, then determine how future data campaigns should be collected, annotated, and analyzed.
Trustworthy data is fundamental to everything we do at Heartflow. It informs our research and helps us improve and transform our algorithms and products. In this role, your work will turn complex clinical and product questions into reliable, well-documented datasets that move research forward. If you are drawn to solving systematic problems, passionate about research, and deeply committed to high-quality data, then this is the role for you.
Key Responsibilities
- Campaign Design & Execution: Own data campaigns for research. Define labeling objectives, annotation schemas, sample selection and inclusion criteria, and acceptance criteria in partnership with Data and Research Scientists. Plan and track timelines and resourcing to drive each campaign from ideation to delivery.
- Annotation Process & Tooling: Own the annotation process end to end, including the workflow, software, and steps that move data through it (ingest, schema mapping, format and ontology validation, and delivery). Select and configure the right tools, and build a reproducible process that removes bottlenecks and scales campaigns across diverse research objectives.
- Ground-Truth Quality & Reproducibility: Define and monitor quality across data campaigns. Distinguish annotation noise from genuine clinical disagreement, and quantify the reliability of the data you deliver.
- Cross-Functional Collaboration: Partner with Data Scientists, Research Scientists, Process Engineering, Product, Clinical, and Regulatory teams. Turn campaigns into artifacts other functions consume: documented datasets, quality reports, and dataset records reproducible and auditable enough to support algorithm development and product decisions.
- Research Initiative & Data Planning: Translate research initiatives into clear data requirements, including target populations, modalities, labels, quality thresholds, and delivery timelines. Trace each requirement to a planned or active campaign, identify gaps and dependencies early, and coordinate priorities to ensure the right data is available when research needs it.
- Systems Engineering Best Practices: Promote Systems Engineering best practices across the organization by sharing methods, improving processes, and strengthening systems thinking in data and research initiatives.
Required Qualifications
- Education: Bachelor's or Master's degree (Ph.D. preferred) in Systems Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field.
- Experience: 5+ years of industry experience in research, systems engineering, or a related field, ideally in medical imaging, medical devices, or another regulated domain.
- Program & Delivery Ownership: Proven track record translating complex projects or research needs into clear, executable programs and driving them from planning through delivery. Experience coordinating cross-functional teams and delivering complete, documented outputs.
- Ground-Truth & Quality Methods: Working knowledge of methods for evaluating data and experiment quality, including reproducibility, agreement, and error detection, along with the judgment to distinguish protocol or annotation noise from true clinical variability.
- Medical Imaging Fluency: Solid understanding of medical image data structures and imaging workflows (e.g., DICOM), as well as the clinical realities that make annotation challenging.
- Data & Tooling Proficiency: Proficiency in Python and SQL for building and validating data pipelines, computing quality metrics, and producing dataset documentation.
- Communication: Exceptional ability to translate research requirements into executable annotation campaigns, and to report dataset quality and provenance clearly to cross-functional stakeholders.
Preferred Qualifications
- Experience running annotation or ground-truth campaigns for medical imaging AI, especially CT or cardiovascular imaging (CCTA).
- Familiarity with reproducibility and agreement statistics (e.g., intraclass correlation, Bland-Altman) as they apply to reader studies and ground truth.
- Experience with large-scale data querying using SQL and cloud storage such as AWS.
- Experience developin
A reasonable estimate of the base salary compensation range is $150,000 to $185,000, bonus, and equity. #LI-IB1
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at
www.heartflow.com/about/careers/.