Research Engineer
About The Position
We have an exciting opportunity to join our team as a Research Engineer. This position offers an exceptional opportunity to contribute to groundbreaking research focused on advancing the science of organ transplantation and shaping national organ allocation policy. Under the mentorship of internationally renowned leaders Dr. Dorry Segev, MD, PhD, Dr. Sommer Gentry, PhD, and Dr. Michal Mankowski, PhD the Research Engineer will join a multidisciplinary team committed to addressing critical challenges in organ transplantation and improving patient outcomes. They will have access to state-of-the-art resources and collaborate on projects that combine epidemiology, operations research, qualitative methods, and research engineering methods. This position will contribute towards the Operations Research Core of the Center for Surgical & Transplant Applied Research (CSTAR) that is a part of the Department of Surgery and Transplant Institute. This individual will be positioned to contribute to analytics efforts within CSTAR and with all internal and external collaborators. By teaming up with clinicians, operations and administrative teams, the individual will develop innovative and impactful data-driven healthcare solutions. The Research Engineer will report to Dr. Michal Mankowski while working closely with other staff and faculty members of CSTAR.
Requirements
- Masters degree in computer engineering or a bachelor's degree in computer engineering, or equivalent, with at least 2 years of relevant work experience
- Familiarity with machine learning principles, statistics, probability, and numerical optimization
- Some experience building machine learning models using large-scale datasets, and deploying them in real world environments
- Experience developing and debugging in scripting languages such as Python
- Familiarity programming in lower-level languages such as C/C++
- Experience working with standard machine learning and computer vision libraries, such as PyTorch, TensorFlow, and OpenCV.
- Qualified candidates must be able to effectively communicate with all levels of the organization.
Nice To Haves
- Experience in building software within a large healthcare system
- Experience with building and deploying systems in real world environments for data collection, aggregation, and preparation
- Experience in building tools for high performance computing and distributed systems
- Experience in building both frontend and backend software tools that can facilitate ML research
- Basic understanding of ML concepts and how they interact with the software scaffolding around them in real-world environments
- Strong communication skills. Since you will be working in an interdisciplinary team of engineers, clinicians, and scientists, it is imperative that you have the ability to articulate complex technical concepts in a way that they are understood by a non-technical audience
- Passion towards using technology to improve healthcare outcomes
Responsibilities
- Design, implement, and maintain the backend and frontend of the software infrastructure and software pipelines necessary to facilitate frictionless machine learning research and development
- Design, implement, and maintain the necessary tools which can assist in translating the research into medical devices deployed in real clinical workflow
- Work closely with investigators, product managers, and other engineers to build the roadmap to accomplish the vision of the CSTAR
- Act as a project leader and be responsible for gathering requirements in collaboration with investigators, creating project plans, and leading its execution
- Lead technical projects, help recruit and mentor a team of junior software engineers
- Provide technical guidance to faculty and lab staff on projects at the intersection of engineering and biomedical research
Benefits
- financial security benefits
- a generous time-off program
- employee resources groups for peer support
- holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
