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Machine Learning Biomedical Engineer Jobs in Rochester, NY

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Data Solutions Engineer

Rochester, NY · On-site +1

$91.53K - $156.50K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

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Machine Learning Biomedical Engineer information

See Rochester, NY salary details

$31.1K

$127.1K

$190.9K

How much do machine learning biomedical engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning biomedical engineer in Rochester, NY is $127,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $152,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Rochester, NY? For Machine Learning Biomedical Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Rochester, NY look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Machine Learning Biomedical Engineer jobs? Cities near Rochester, NY with the most Machine Learning Biomedical Engineer job openings:
Assistant Professor, Electrical & Microelectronic Engineering

Assistant Professor, Electrical & Microelectronic Engineering

Rochester Institute of Technology

Rochester, NY

Full-time

Posted 25 days ago


Rochester Institute Of Technology rating

8.2

Company rating: 8.2 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

107th of 530 rated colleges and universities


Job description

JOB SUMMARY:

RIT's Department of Electrical and Microelectronic Engineering Technology invites applications from candidates in the areas of digital electronics, analog electronics or electronics for biomedical systems. Applicants must have a Ph.D. in Electrical Engineering, Computer Engineering, and/or Microelectronic Engineering or a closely related field. The candidate's research must specialize in one or more of the following areas: digital electronics, analog electronics, electronics for biomedical systems, quantum electronicsor neuromorphic computingwith a record of refereed publications in the area. Candidates must have prior teaching experience; potential for establishing and conducting sponsored research; excellent written and oral communication skills; and ability to collaborate within and beyond the department. Candidates with commensurate qualifications and experience may be considered for appointment at a higher rank (Associate Professor).

We are seeking an individual who has the ability and interest in contributing to a community committed to student-centeredness; professional development and scholarship; integrity and ethics; innovation and flexibility; and teamwork and collaboration. Prior engagement in innovative teaching methodologies is highly desired. Select to view links to RIT's core values and honor code.

To attract and retain an excellent and innovative faculty, RIT offers a number of programs and professional development opportunities to help faculty succeed from our onboarding and orientation on through to the tenure and promotion process.

https://www.rit.edu/aes/ofr

THE COLLEGE/ DEPARTMENT:

The Electrical and Microelectronic Department is one of six academic departments in the Kate Gleason College of Engineering. The Kate Gleason College of Engineering | RIT offers bachelor's and master's in biomedical engineering, chemical engineering, computer engineering, electrical engineering, industrial engineering, mechanical engineering, and microelectronics engineering as well as four Ph.D. degrees in biomedical and chemical engineering, electrical and computer engineering, mechanical and industrial Engineering, and microsystems engineering and additional master's programs in engineering management and leadership. Serving over 2600 undergraduates and 400 graduate students, the college is committed to growing its research profile while maintaining a strong commitment to undergraduate education. Major research themes include advanced manufacturing; biomedical and healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling and simulation. Hallmarks of the undergraduate experience include one full year of cooperative education, an innovative multidisciplinary senior design program, and an impressive variety of well-supported student teams and clubs.

The Electrical Engineering Department has 550 undergraduates and 145 graduate students. Faculty and staff include 26 tenured/tenure-track faculty members, six lecturers, four support staff, and three academic advisors. In addition to teaching within the department, faculty conduct research and advise doctoral students in Electrical and Computer Engineering, Microsystems Engineering, Imaging Science, Computer and Information Sciences, and Sustainability. Faculty research expertise includes digital and computer systems, robotics, artificial intelligence, machine learning, biomedical devices, communications, controls, integrated devices/circuits, MEMs, electromagnetic fields, semiconductor electronics, photonics/optoelectronics and signal/image/video processing. Researchers have access to exceptional laboratory resources for design and simulation of electronic/photonic circuits and systems, and a state of the art microfabrication clean room facility that supports materials and processes for micro/nano devices. Research expenditures average approximately $4 M annually. For more information, visit https://www.rit.edu/engineering/electrical-and-microelectronic-engineering and https://www.rit.edu/engineering/research.

THE UNIVERSITY:

Founded in 1829, Rochester Institute of Technology has a long-standing history of innovation that blends the arts, technology, and experiential learning. In addition to its main campus in Rochester, New York, RIT maintains a strong international presence with over 100 active global partnerships and international campuses in Croatia, Dubai, and Kosovo. As of Fall 2024, total student enrollment across all campuses exceeded 21,000. Nationally recognized for its co-op and internship programs, RIT is supported by more than 4,000 dedicated faculty and staff members committed to student success. Its 1,300-acre suburban campus features cutting-edge facilities that reflect RIT's strengths in applied research, design, and workforce development.

To attract and retain an excellent and innovative faculty, RIT offers a number of programs and professional development opportunities to help faculty succeed from our onboarding and orientation on through to the tenure and promotion process.

QUALIFICATIONS:

REQUIRED:

  • PhD. in Electrical, Microelectronic and/or Computer Engineering or a closely related field.
  • Refereed publications in one or more of the following areas:
    • digital electronics
    • analog electronics
    • electronics for biomedical systems
    • devices & circuits based on emerging electronics materials
    • nanoelectronics and semiconductors
    • neuromorphic computing and artificial intelligence hardware
    • quantum electronics
  • Excellent written and oral communication skills.
  • Prior course or lab (Teaching Assistant) teaching experience in electrical engineering related fields
  • Potential for establishing and conducting sponsored research.
  • Ability to collaborate within and beyond the Department of Electrical & Microelectronic Engineering

HOW TO APPLY:

Apply online at RIT Careers; go to Job Category, and select Faculty (Regular) to view current openings. Please submit your application, curriculum vitae, cover letter addressing the listed qualifications and upload the following attachments:

  • A brief teaching philosophy (2-page limit)
  • The names, addresses and phone numbers for three references
  • Research statement

You can contact the search committee with questions on the position at:

Prof. Stefan Preble, sfpeen@rit.edu (Search Committee Chair)

Prof. Ali Reza Vahid, arveme@rit.edu

Prof. Teju Das, tadeee@rit.edu

Prof. Dorin Patru, dxpeee@rit.edu

Prof. Parsian Mohseni, pkmeen@rit.edu

A review of applications will begin immediately and continue until an acceptable candidate is found.

Faculty Tenure, Rank, Discipline

JC_1450 - Associate Professor, Electrical & Microelectronic Engineering

Work Location

On Campus

Compensation

$105,000-$115,000

Application Materials

When you are ready to complete an application for this position please be prepared to submit the below requested information. This will be required to ensure your application is processed in a timely manner.

Cover Letter, Curriculum Vitae or Resume, Research Statement, Statement of Teaching Philosophy

Anticipated Start Date

December 15, 2026

Additional Details

In compliance with NYS's Pay Transparency Act, the salary range for this position is listed above. Rochester Institute of Technology considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. The hiring process for this position may require a criminal background check and/or motor vehicle records check. Any verbal or written offer made is contingent on satisfactory results, as determined by Human Resources. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientation, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities. RIT provides reasonable accommodations to applicants with disabilities under the Rehabilitation Act, the Americans with Disabilities Act, the New York Human Rights Law, or similar applicable law.

If you need reasonable accommodation for any part of the application and hiring process, please contact the Human Resources office at 585-475-2424 or email your request tohr@rit.edu. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.


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About Rochester Institute of Technology

Sourced by ZipRecruiter

Rochester Institute of Technology (RIT) is a preeminent institution in the education services industry, located in Rochester, NY, US. Renowned globally for its innovative and industry-aligned education, RIT was established in 1829 and has since then been committed to offering academic rigor in fields of study with an emphasis on applied learning. This is evidenced by their broad spectrum of undergraduate and graduate programs in areas such as engineering, science, business, and fine arts. RIT's mission centers on providing technology-based educational programs for career-minded students.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

Year founded

1829

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