ML/AIWork
NYU Langone Health logo

Research Engineer

NYU Langone Health · New York, US

Job description

Job ID: 1160040_RR00118667

Facility: NYU Grossman School of Medicine

Position Type: Full-Time/Regular

Shift: Day

Schedule: Monday to Friday; 9:00AM-5:00PM

Department: Research, NYU Grossman School of Medicine, Surgery – CSTAR (S2083),

Position Summary:

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.

Job 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 Minimum Qualifications:

To qualify you must have a 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.

Preferred Qualifications:

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

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you’ll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it’s developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.

View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 – $130,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here

Salaries shown on independent jobs related websites reflect market averages and do not represent information obtained directly from NYU Langone. We invite and encourage each candidate to discuss salary/hourly specifics during the application and hiring process.

About NYU Langone Health Be Where Everyone Is Dedicated to Exceptional Care

NYU Langone is a world-class, patient-centered, integrated academic health system with Magnet®-recognized status by the American Nurses Credentialing Center (ANCC). Our trifold mission to care, teach, and discover is achieved daily through NYU Langone’s inclusive culture devoted to excellence across the organization. Here, you can advance your career supported by exceptionally talented faculty and staff in an environment where everyone works together to deliver the best possible outcomes for our patients.

Our Hiring Process Joining Our Team

Get ready to start your career journey at NYU Langone, where cutting-edge research meets compassionate care, and discover how you can contribute to shaping the future of medicine.

Step 1

Apply Online

The NYU Langone hiring process begins with you applying through our online portal. Be sure to update and upload your resume. Shortly after you submit your application, you will receive an email confirmation. Ten days after applying you will receive a talent assessment to be completed.

Step 2

Schedule Interviews

If selected to continue the interview process, HR will reach out via phone or email first. Then, depending on your position, they will schedule an interview with unit managers or team members. You are encouraged to dress professionally for all interviews.

Step 3

Receive Offer

If you successfully complete the interview process and are identified as a finalist for the position, we will require that you complete a professional reference process. After evaluating the completed references, a decision will be made on who will receive a preliminary offer. If you receive a preliminary offer, HR will start the onboarding process with an agreed-upon tentative start date.

Step 4

Training & Orientation

You will be contacted by an onboarding specialist who will work with you on your pre-boarding requirements. Once fully cleared, we will ask you to complete compliance orientation regulatory training. On your first day, you will attend an online required orientation to acclimate to the health system and report to your new department based on instructions provided by your hiring manager.

ML/AI Work links you to the employer's original posting — always verify the details there before applying.

More Machine Learning roles

View all →
$84,577 – $130,000/yr
NYU Langone Health
Apply →