Collaborating Research Scientist
Collaborating Research Scientist

Collaborating Research Scientist

Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Advance AI technologies for cardiac imaging and contribute to impactful research publications.
  • Company: Join Heartflow, a leader in medical technology revolutionising heart care.
  • Benefits: Collaborate with top researchers and access exclusive datasets for groundbreaking innovations.
  • Other info: Be part of a diverse team committed to innovation and inclusivity.
  • Why this job: Make a real difference in healthcare by translating research into life-saving medical devices.
  • Qualifications: PhD in a technical field and expertise in generative AI for medical imaging.

The predicted salary is between 36000 - 60000 ÂŁ per year.

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.

Join Heartflow’s world‑class Research team as a Collaborating Research Scientist with a joint visiting researcher appointment in Professor Ben Glocker’s lab at Imperial College London. This position focuses on advancing state‑of‑the‑art Generative AI technologies for Coronary Computed Tomography Angiography (CCTA). In this role, you will work on cutting‑edge academic research, IP generation and high‑impact publications while ensuring that technical breakthroughs can be translated into Heartflow’s product‑grade models.

At Imperial College: You will be an active member of one of the world’s leading medical imaging labs, participating in seminars, collaborating with academics, and engaging in the vibrant Imperial ecosystem in South Kensington.

At Heartflow: You will be a key stakeholder in our research roadmap, with access to massive, proprietary datasets that are unavailable to pure academic labs, with the opportunity for translation of your work into medical devices with global impact.

Key Responsibilities:
  • Design and implement state‑of‑the‑art generative architectures to synthesize high‑fidelity, anatomically accurate CCTA image data.
  • Publish and present at top‑tier venues (such as MICCAI, ICCV, CVPR, NeurIPS).
  • Provide technical reports and reproducible code to enable the translation of research into products by Research team members and development teams.
  • Identify and protect new IP for Heartflow in emerging AI domains.
  • Educate people across groups and departments on generative AI.
Skills Needed:
  • Proven expertise in generative AI methods for computer vision or medical image analysis (diffusion models, flow matching, GANs, VAEs).
  • Ability to clearly communicate complex ideas, tailoring content for diverse audiences.
  • Experience developing generative AI systems with large‑scale imaging datasets.
  • Advanced proficiency in Python and PyTorch, with a commitment to writing clean, reproducible and scalable research code.
  • A track record of first‑author publications in top tier AI or medical imaging conferences.
  • Experience in causal modeling, and/or conditional generative models.
  • Experience developing AI systems with sparse and/or noisy labels.
  • Experience building deep learning models for 3D medical image data.
Educational Requirements & Work Experience:
  • A PhD degree in computer science, engineering, math or similar technical field.
  • Preferably 2+ years related experience, in industry or academia, with Generative AI in computer vision or medical image analysis.

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 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/.

Collaborating Research Scientist employer: Heartflow

Heartflow is an exceptional employer, offering a unique opportunity to work at the forefront of medical technology in the vibrant environment of Imperial College London. With a commitment to innovation and employee growth, Heartflow provides access to proprietary datasets and encourages collaboration within a world-class research team, fostering a culture of respect and inclusivity. Join us to make a meaningful impact on global health while advancing your career in a supportive and inspiring workplace.
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Contact Detail:

Heartflow Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Collaborating Research Scientist

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Heartflow on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by diving deep into Heartflow's products and recent innovations. Show us that you’re not just interested in the role but also passionate about revolutionising heart care with cutting-edge tech.

✨Tip Number 3

Practice your pitch! Be ready to explain your research and how it aligns with Heartflow’s mission. We want to see how your skills in generative AI can directly impact our projects.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.

We think you need these skills to ace Collaborating Research Scientist

Generative AI methods
Computer Vision
Medical Image Analysis
Diffusion Models
Flow Matching
GANs
VAEs
Python
PyTorch
Causal Modeling
Conditional Generative Models
Deep Learning Models for 3D Medical Image Data
Technical Communication
Research Publication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Collaborating Research Scientist role. Highlight your expertise in generative AI and any relevant publications to catch our eye!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing heartcare technology and how your background makes you a perfect fit for our team.

Showcase Your Projects: If you've worked on any projects related to generative AI or medical imaging, don’t hold back! Include links to your work or GitHub repositories to demonstrate your hands-on experience.

Apply Through Our Website: We encourage you to apply directly through our careers page. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining Heartflow!

How to prepare for a job interview at Heartflow

✨Know Your Generative AI Inside Out

Make sure you brush up on your knowledge of generative AI methods, especially those relevant to medical image analysis. Be prepared to discuss specific techniques like diffusion models and GANs, and how they can be applied to CCTA image data.

✨Showcase Your Research Impact

Highlight your previous research and publications, particularly any first-author papers in top-tier conferences. Be ready to explain how your work has contributed to advancements in the field and how it aligns with Heartflow's mission.

✨Communicate Clearly and Confidently

Practice explaining complex ideas in a way that’s easy to understand for diverse audiences. This is crucial, as you'll need to educate others about generative AI across different groups at Heartflow.

✨Prepare for Technical Questions

Expect technical questions related to Python, PyTorch, and deep learning models. Brush up on writing clean, reproducible code and be ready to discuss your experience with large-scale imaging datasets and handling noisy labels.

Collaborating Research Scientist
Heartflow

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