1

Biomedical Machine Learning Jobs in Illinois (NOW HIRING)

... biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to ... registration, machine learning, or computational neuroscience methods Interest in aging ...

... biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to ... registration, machine learning, or computational neuroscience methods Interest in aging ...

... biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to ... registration, machine learning, or computational neuroscience methods Interest in aging ...

Experience developing applications that interface with industrial equipment or machinery utilizing ... Fluke Biomedical leads the world in manufacturing biomedical test equipment like defibrillator ...

Experience developing applications that interface with industrial equipment or machinery utilizing ... We lead the biomedical and radiation detection markets with innovative products and services to ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

... and machine learning use cases by supporting feature generation, retrieval workflows, governed ... Systems, Biomedical Informatics, Engineering, or a related field. • Minimum 10 years of ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Design data architectures that enable AI, analytics, and machine learning use cases by supporting ... Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Design data architectures that enable AI, analytics, and machine learning use cases by supporting ... Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical ...

Showing results 21-40

Biomedical Machine Learning information

See Illinois salary details

$14

$27

$37

How much do biomedical machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for biomedical machine learning in Illinois is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $23.51 and $31.20 per hour, depending on experience, location, and employer.

How to become a biomedical machine learning specialist?

To become a biomedical machine learning specialist, individuals typically need a strong background in computer science, machine learning, and biology, often obtained through a bachelor's or master's degree in related fields. Gaining experience with programming languages like Python or R, and tools such as TensorFlow or PyTorch, is essential, along with understanding biomedical data and clinical applications. Advanced roles may require a Ph.D. or specialized certifications in machine learning or biomedical informatics.

What is a biomedical machine learning?

A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.

What does a biomedical machine learning do?

A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.

What are the key skills and qualifications needed to thrive in biomedical machine learning, and why are they important?

To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.

What are the most commonly searched types of Biomedical Machine Learning jobs in Illinois? The most popular types of Biomedical Machine Learning jobs in Illinois are:
Infographic showing various Biomedical Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,495 per year, or $27.6 per hour.

Visiting Assistant Professor of Mechanical Engineering

University of the District of Columbia

Campus, IL

$91K/yr

Full-time

Medical, Life, Retirement

Re-posted 16 days ago


Job description

  • UDC Careers
  • Give
  • Visit
My Account
Career Opportunities at UDC >> Visiting Assistant Professor of Mechanical Engineering
Visiting Assistant Professor of Mechanical Engineering
Summary
Title: Visiting Assistant Professor of Mechanical Engineering ID: 2409 Department: School of Engineering & Applied Sciences (SEAS) Location: UDC- Main Campus Van Ness Campus - NW
Description

Number of Vacancies: 1
Area of Consideration: Open To The Public 
Position Status: Full-Time, temporary 
Pay Plan, Series & Grade: ES0000/001
Salary Range: Up to $91,760
Closing Date:  Open Until Filled
Location: 4200 Connecticut Ave NW, Washington, DC 20008
Brief Description of Duties

The University of the District of Columbia (UDC) is an urban land-grant institution and is classified as a Historically Black College and University (HBCU). UDC is the only public university in Washington, DC and it aims to offer a comprehensive, quality post-secondary education that is affordable to DC residents at the certificate, associate, baccalaureate, and graduate levels.  Within UDC's School of Engineering and Applied Sciences (SEAS), ABET-accredited programs are offered in Biomedical Engineering, Civil Engineering, Computer Science and Information Technology, Electrical Engineering and Computer Engineering, and Mechanical Engineering along with graduate programs in the aforementioned disciplines.  The students from the School of Engineering and Applied Sciences have won national design competitions and obtained internships and positions with prestigious employers such as NASA, Lockheed Martin, Intel, Apple, and area defense contractors. UDC is located within a 30-mile distance from the Naval Research Laboratory, Army Research Laboratory, National Institute of Standards and Technology (NIST), National Institute of Health (NIH), NASA and hundreds of technology-focused private and government organizations.

The Department of Mechanical Engineering (ME) is pleased to invite applicants for a non-tenure track visiting faculty position at the rank of Assistant Professor.  The position start date is targeted for January 1, 2024, and will be a two-year position with the possibility to renew. Interested candidates must have a doctorate in Mechanical Engineering, or a closely related field. The successful candidate must have exceptional interpersonal communication skills, a strong commitment to undergraduate teaching, and dedication to service to the department including recruitment and retention efforts, student mentoring, participation in curriculum and advisory committees, and collection of course data for continuous improvement.  Applicants with additional experience (e.g., postdoctoral experience, industry experience, and/or experience with ABET accreditation) are highly desirable.

The department will consider candidates in all areas of the mechanical engineering discipline. Candidates should demonstrate competency in teaching and be able to handle 3-4 courses each term from the list below:

  • Statics & Dynamics
  •  Fluid mechanics
  •  Thermodynamics
  •  Heat transfer
  •  Design of Energy systems
  • Tech Electives: Robotics, Aerospace, or Renewable Energy (e.g., solar and fuel cells)
  •  Programming, AI, and Machine Learning      
  •  Modeling and Computer Graphics
  •  Machine design
  •  Additive Manufacturing
  •  Engineering Measurements and Mechatronics
  • Materials Science and Mechanics of Materials
  • Engineering Numerical Methods
  • Engineering Ethics and Economics

The ME department has the following four main research areas: Energy Science, Advanced Manufacturing, Materials & Nanotechnology, and Biomedical Engineering. The ME department has established laboratories in the areas of Metal Additive Manufacturing, Biomechanical & Rehabilitation Engineering, Nanoscale Heat Transfer, Microscopy and Device Characterization, and Nano/Microfabrication Technology with a class-1000 cleanroom. Successful applicants will have the opportunity to join our research programs and collaborate with other faculty members within the school.

Essential Duties and Responsibilities

  • Faculty duties include teaching and mentoring undergraduate students, performing academic duties, university service, and contributing to externally funded research projects where applicable. 
  • The successful applicant will also have an opportunity to work with other faculty members within the University to help develop cross-disciplinary research. 


Minimum Job Requirements

  • Candidates must have a doctoral degree in Mechanical Engineering, or a closely related field, and have a strong record of teaching and scholarly work.
  • Interested candidates should submit a cover letter, curriculum vitae (listing publications), statement teaching philosophy/interests and research interests, and a statement of commitment to advancing equity and fostering an inclusive and diverse educational environment.


Information to Applicant
Collective Bargaining Unit (Union):
This position is not in the collective bargaining unit.
Employment Benefits: Selectee will be eligible for health and life insurance, and sick leave and will be covered under the University of the District of Columbia' s retirement plan (TIAA).
Equal Opportunity Employer: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation.
Notice of Non-Discrimination: In accordance with the D.C. Human Rights Act of 1977, as amended, D.C. Official Code, Section 2-1401.01 et. seq., (Act) the University of the District of Columbia does not discriminate on the basis of actual or perceived: race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, disability.  Sexual harassment is a form of sex discrimination which is also prohibited by the Act.  In addition, harassment based on any of the above protected categories is prohibited by the Act.  Discrimination in violation of the Act will not be tolerated.  Violators will be subject to disciplinary action.
Veterans Preference:  Applicants claiming veteran's preference must submit official proof at the time of application.
Visa Sponsorship: At this time, the University of the District of Columbia does not provide sponsorship for visas (e.g. H-1B). This position is also ineligible for Optional Practical Training (OPT).
Drug-Free Workplace: Pursuant to the requirements of the Drug-Free Workplace Act of 1988, the individual selected to fill this position will, as a condition of employment, be required to notify his/her immediate supervisor, in writing, not later than five (5) days after conviction of any criminal drug statute occurring in the workplace.
Background Investigation: Employment with the University of the District of Columbia is contingent upon a satisfactory background investigation.  The determination of a "satisfactory background investigation" is made at the sole discretion of the University of the District of Columbia.  The University may refuse to hire a finalist, rescind an offer of employment to a finalist or review and may terminate the employment of a current employee based on the results of a background investigation.
Disposition of Resume: Resumes received outside the area of consideration and/or after the closing date will not be given consideration. You must resubmit your resume to receive consideration for any subsequent advertised position vacancies. For the purpose of employment, resumes are not considered job applications. Therefore, if selected for employment a UDC application will be required.
Job Offers: Official Job Offers are made by the University of the District of Columbia, Office of Human Resources only.
Contact Information:  All inquiries related to employment and job applications should be directed to UDC Office of Human Resources at (202) 274-5380.
The University of the District of Columbia is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. For a full version of the University's EO Policy Statement, please visit: https://www.udc.edu/human-resources/equal-opportunity/ .

Apply Now
CONTACT

4200 Connecticut Ave. NW
Washington, DC 20008

Phone: 202-274-5000 Public Safety: 202-274-5050
INFORMATION
  • Careers @ UDC
  • UDC News
  • Media Inquiries
  • Contact Us
CAMPUS
  • Bookstore
  • Library
  • Student Right to Know
  • Title IX
FIREBIRD FILES
  • Privacy Policy
  • Accessibility Statement
  • Articulation Agreement
  • Download Adobe Reader

Copyright 2025 University of the District of Columbia