Subtle Medical - Deep Learning boosts healthcare. Faster, Safer, Smarter.

Research Scientist

Application

Department: Research and Development

Reports To: Chief Product Officer

Job Location(s): Remote, or Hybrid in SF Bay area

% Travel: 10%

H-1B Visa Sponsorship: Yes

Position Summary

The Research Scientist role at Subtle Medical will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization.

Subtle Medical is the world leader in applying deep learning to the acquisition of medical images in order to enable faster, safer, and smarter medical imaging. We are committed to transforming the healthcare ecosystem by building and delivering responsible AI solutions that create a measurable impact on the radiology workflow and patient experience. Our vision is that every human being has the opportunity for a timely diagnosis, high-quality care, and a longer, healthier life.

Currently, Subtle Medical has several FDA-cleared & CE-marked AI software products that are in clinical usage in over 900 hospitals and imaging centers worldwide. Subtle has a robust multi modality product portfolio and continues to invest heavily in research and development. Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. Subtle Medical has been recognized multiple times by CB Insights as a global Top 100 AI Company and Top 150 Digital Health Company. We continue to grow and expand and welcome those to apply who desire to empower patients and physicians with better healthcare.

Subtle Medical is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Responsibilities

  • Design and implement state-of-the-art deep learning models for medical imaging acquisition, reconstruction, image processing and analysis
  • Translate new technologies into product solutions for improved clinical care
  • Support and participate in applicable Quality Management System (QMS) processes for Subtle Medical AI/ML Software as a Medical Device (SaMD) products.
  • Develop and validate prototypes for new applications following the design control
  • Participate in applicable data protection related activities, such as audits, investigations, and training, and comply with all applicable company policies and procedures.
  • Collaborate with clinicians and customers to address unmet clinical needs
  • Conduct original research resulting in patents and scientific publications
  • Use broad expertise to resolve quality issues

Qualifications

Key Competencies

  • Strong experience in deep learning and computer vision, including designing and implementing deep convolutional neural networks and GAN
  • Familiar with medical imaging, such as MRI, PET and CT
  • Excellent programing skills in Python and C/C++
  • Experience with deep learning tools (TensorFlow, PyTorch, Keras, Caffe, etc)
  • Collaborative, self-motivated and have a can-do attitude
  • Working knowledge of Quality Management System (QMS) regulations and applicable familiarity with ISO 13485, ISO 14971, IEC 62304, and IEC 62366.

Education

  • M.S./Ph.D. Candidate in EE/CS/BME or related fields

Nice to Haves

  • Experience with cloud computing (AWS, Google Cloud, etc)
  • Experience with software development processes in a regulated industry
  • Experience with medical imaging reconstruction

Location

This is a remote role with potential for 10% travel. Travel is primarily related to conference presentations or organization on-sites/off-sites. Candidates in the San Francisco Bay Area are given the option to work hybrid at the Menlo Park office.

Want to apply?

Please submit an application with your resume/CV and the job title in the subject line. Be sure to include all applicable information that supports your qualification and interest in this role.