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Machine Learning Biomedical Engineer Jobs in Connecticut

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Biomedical Engineer information

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 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 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 are popular job titles related to Machine Learning Biomedical Engineer jobs in Connecticut? For Machine Learning Biomedical Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Connecticut look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Machine Learning Biomedical Engineer jobs? Cities in Connecticut with the most Machine Learning Biomedical Engineer job openings:
Research Scientist - Physiologist/Biomedical Engineer

Research Scientist - Physiologist/Biomedical Engineer

Leidos

Groton, CT

$87K - $157K/yr

Full-time

Posted 6 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services


Job description

Are you looking for a career that will make an impact?

The Defense Health Operation of Leidos is currently looking for a Research Physiologist/ Biomedical Engineer to support research in the areas of physiology and biomedical engineering as it may pertain to warfighters operating in extreme or austere environments at the Naval Submarine Medical Research Laboratory (NSMRL) in Groton, CT. NSMRL conducts research and investigates the effects of medical, psychological, and performance issues associated with the health and performance of naval personnel in operational and non-operational settings.

Are you ready for unique and exciting work?

Primary Job Responsibilities

  • Execute duties as technical lead for multiple physiological studies evaluating the responses of submariners and divers to hyperbaric and other environmental stressors.

  • Develop physiological models by incorporating signal processing, machine learning and artificial intelligence.

  • Write software and design hardware integration to perform biomedical and human factors related to data collections.

  • Develop and test physiological sensors and other technologies supporting human-machine integration.

  • Support NSMRL staff and other professional entities on current and future non-human and human subject research projects.

  • Assist with recruiting and monitoring experimental subjects and arranging for necessary support staff and equipment to monitor experimental subjects.

  • Assist with performing tests, surveys, investigations, and/or experiments. Obtain raw data and assemble analytic data sets and gather test/survey/experiment results.

  • Prepare summaries and publications for non-research technical and general audiences, subject to final Government approval and submission.

  • Write research pre-proposals, research protocols, formal technical reports, and journal publications addressing the above topics.

  • Report finding, outcomes, and recommendations to the fleet through formal meetings, presentations, briefings, and publications, subject to final Government approval.

  • Internally, perform command duties that may be requested, either fully or in part, based on professional or technical expertise.

If this sounds like an environment where you can thrive, keep reading for the keys to success!

Basic Qualifications

  • Candidates must have completed a Doctorate (Ph.D.) degree in physiology, biomedical engineering, or a closely related field from an accredited university in the United States or an international university of equivalent standard

  • Ability to extend and apply the knowledge of human physiology to the missions of the command and the Navy, evidence of scientific achievement as shown by the publication of articles and reports, and membership in scientific societies, knowledge of and experience in writing and editing technical and scientific research information, as well as the ability to speak well and concisely, and confer with professional colleagues on a peer basis.

  • The candidate will be required to acquire, at a minimum, a SECRET classification access level. Preference will be given to a candidate who already has this clearance level.

  • Due to Federal contract requirements, US citizenship is required.

  • Candidates must display a willingness to be exposed to a broad research and management experience in the human performance domain, including experimental and synthetic biology, cellular biology, metabolism, nutrition, and physical training regimens.

Preferred Qualifications

  • Experience in modeling, signal processing, and development of physiological sensors for prediction and mitigation of stressors for warfighters operating in extreme or austere environments; and experience working at a military command.

  • Demonstrated evidence of scientific achievement as shown by the publication of articles and reports and membership in scientific societies.

  • Knowledge of and experience writing and editing technical and scientific research information.

  • Demonstrated ability to speak well and concisely and confer with professional colleagues on a peer basis.

  • Knowledge of research examining human performance in a submarine environment is preferred.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:June 12, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

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Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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