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Remote Biomedical Engineering Phd Jobs (NOW HIRING)

Natera

Machine Learning Scientist, Multimodal AI

$124K - $156K/yr

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics ... Remote USA $124,800-$156,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Conflux Systems

Clinical Evaluations Manager

Tacoma, WA · Remote

$84/hr

Pennsylvania Avenue, Washington/ Remote Pay rate: $84/hr.W2 Duration: 12 Months Shift timings: 9am ... PhD in Medical Physics (preferred), Biophysics, Biomedical Engineering. Other degree programs ...

Conflux Systems

Clinical Evaluations Manager

Kent, WA · Remote

$84/hr

Pennsylvania Avenue, Washington/ Remote Pay rate: $84/hr.W2 Duration: 12 Months Shift timings: 9am ... PhD in Medical Physics (preferred), Biophysics, Biomedical Engineering. Other degree programs ...

Tekhawks LLC

Be Seen First

Systems Engineer - Medical Device/Design controls - 100% Remote

New Brunswick, NJ · Remote

$30 - $35/hr

Remote Duration: 6 months + Role Summary We are looking for a Systems Engineer to serve as the ... Qualifications • Strong experience in Systems Engineering, Biomedical Engineering, or a related ...

Tekhawks LLC

Be Seen First

Systems Engineer - Medical Device/Design controls - 100% Remote

New Brunswick, NJ · Remote

$30 - $35/hr

Remote Duration: 6 months + Role Summary We are looking for a Systems Engineer to serve as the ... Qualifications • Strong experience in Systems Engineering, Biomedical Engineering, or a related ...

GE HealthCare

Biomedical Technician I

$25.75 - $34.25/hr

Associate's or Bachelor's degree in Electrical Engineering, Biomedical Engineering, Mechanical ... Experience with hand tools. #LI-CLM #LI-Remote #LI-Onsite We will not sponsor individuals for ...

Thermo Fisher Scientific

Field Service Engineer

NJ · Remote

Provide remote and onsite service training or assistance to Biomedical Engineering Technicians (BMET) or Advanced Operators. * Increase technical proficiency level servicing instruments by completing ...

GE HealthCare

Biomedical Technician 3

$25.75 - $34.25/hr

Associate's or Bachelor's degree in Electrical Engineering, Biomedical Engineering, Mechanical ... Specific vision abilities required by this job may include color, close vision #LI-PA1 #LI-Remote ...

Generis TEK Inc.

Engineer - Degree Optional -

Plano, TX · On-site +1

$35/hr

The Technical Services Engineer III provides remote technical support for Abbott Neuromodulation ... Optional bachelor s degree in biomedical engineering, biomedical science, or a related engineering ...

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Remote Biomedical Engineering Phd information

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$41K

$94.8K

$140K

How much do remote biomedical engineering phd jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote biomedical engineering phd in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Biomedical Engineering Phd vs Remote Biomedical Equipment Technician?

AspectRemote Biomedical Engineering PhdRemote Biomedical Equipment Technician
Required CredentialsPhD in Biomedical Engineering or related fieldAssociate's or Bachelor's in Biomedical Technology or related field
Work EnvironmentResearch, development, consulting, or academic settings (can be remote)Technical support, maintenance, and repair of medical equipment (often remote troubleshooting)
Employer & Industry UsageUniversities, research institutions, biotech companies, medical device firmsHospitals, clinics, medical device manufacturers, service providers

The main difference between a Remote Biomedical Engineering Phd and a Remote Biomedical Equipment Technician lies in their qualifications and job focus. The Phd typically involves research, development, and advanced analysis in biomedical engineering, often in academic or industry R&D settings. In contrast, the Biomedical Equipment Technician focuses on maintaining, repairing, and troubleshooting medical devices, usually requiring technical certifications. Both roles can be performed remotely, but they serve different functions within the healthcare and medical device industries.

What is a Remote Biomedical Engineering PhD?

A Remote Biomedical Engineering PhD is a doctoral program in biomedical engineering that allows students to complete most or all of their coursework and research remotely, often online. This program is designed for students who wish to advance their expertise in biomedical engineering while maintaining flexibility in terms of location and schedule. It typically covers advanced topics like medical device design, biomaterials, and computational biology, and requires independent research culminating in a dissertation. Remote PhD programs may still require occasional on-site visits for lab work or exams, depending on the university's requirements.

How do remote Biomedical Engineering PhD roles typically facilitate collaboration and mentorship compared to on-site positions?

Remote Biomedical Engineering PhD roles often use digital collaboration platforms, such as video conferencing and shared research databases, to maintain regular interaction with advisors, lab members, and interdisciplinary teams. While physical access to laboratory equipment may be limited, many programs provide virtual simulations, remote data analysis projects, or grant periodic on-site lab access to support experimental work. Mentorship is typically structured through scheduled virtual meetings, online seminars, and collaborative research discussions, ensuring remote candidates remain integrated with their research community and receive guidance comparable to on-site peers.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Engineering PhD, and why are they important?

To thrive as a Remote Biomedical Engineering PhD, you need advanced expertise in biomedical engineering principles, research methodologies, and a doctoral degree in the field. Proficiency in simulation software (such as MATLAB or COMSOL), data analysis tools, and familiarity with regulatory standards like FDA or ISO is essential. Strong skills in independent problem-solving, scientific communication, and collaboration across virtual teams make a candidate stand out. These capabilities enable effective research, innovation, and successful project outcomes in a remote, multidisciplinary environment.
Infographic showing various Remote Biomedical Engineering Phd job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

Machine Learning Scientist, Multimodal AI

Natera

San Carlos, CA • On-site, Remote

$124K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

47th of 103 rated laboratories

Job description

POSITION SUMMARY:

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets. You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing.

PRIMARY RESPONSIBILITIES:

  • Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
  • Develop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sources
  • Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
  • Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
  • Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
  • Analyze model outputs to generate reproducible biological and clinical insights
  • Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders

QUALIFICATIONS:

  • PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI
  • Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
  • Hands-on expertise with PyTorch and strong production-level programming skills in Python
  • Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
  • Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
  • Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
  • Experience adapting pre-trained foundation models for downstream biomedical applications

PREFERRED QUALIFICATIONS:

  • Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
  • Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays
  • Hands-on experience with digital pathology software and whole-slide imaging analysis
  • Exposure to survival modeling, longitudinal prediction, or time-to-event modeling
  • Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
  • Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
  • Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)

#LI-DNI

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
Remote USA
$124,800—$156,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page

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