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Genetics Biomedical Engineering Jobs (NOW HIRING)

Biomedical Engineering Technician I

Bozeman, MT ยท On-site

$25.75 - $34.25/hr

... biomedical equipment in a clinical engineering environment preferred * Travel may be required based ... genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our ...

Director Biomedical Engineering-Full Time

Corona, CA ยท On-site

$100.53K - $150.78K/yr

Biomedical Engineering Director - Corona Regional Medical Center located in Corona, Ca Manager ... genetic information, national origin, disability status, protected veteran status or any other ...

... engineers and scientists to meet the challenges of biomedical discovery and applications of ... orientation, genetic information, status as an individual with a disability, or status as a ...

Biomedical Engineer

Houston, TX ยท On-site

$104K - $119K/yr

A degree in biomedical or mechanical engineering, or a similar related field is preferred ... genetics, or any other non-job-related protected status. All candidates selected will be subject to ...

A degree in biomedical or mechanical engineering, or a similar related field is preferred ... genetics, or any other non-job-related protected status. All candidates selected will be subject to ...

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Genetics Biomedical Engineering information

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$41K

$94.8K

$140K

How much do genetics biomedical engineering jobs pay per year?

As of Jun 3, 2026, the average yearly pay for genetics biomedical engineering 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 are the key skills and qualifications needed to thrive as a Genetics Biomedical Engineer, and why are they important?

To thrive as a Genetics Biomedical Engineer, you need a solid background in genetics, molecular biology, biomedical engineering, and typically at least a bachelor's or master's degree in a related field. Experience with laboratory techniques, bioinformatics tools, and familiarity with regulatory standards like FDA or ISO are often required. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating across multidisciplinary teams and translating complex research into practical solutions. These skills and qualifications are crucial for innovating safe, effective biomedical technologies that address genetic health challenges.

What are some common interdisciplinary collaborations for a Genetics Biomedical Engineer, and how do these partnerships impact project outcomes?

Genetics Biomedical Engineers frequently collaborate with professionals from diverse fields such as molecular biologists, clinicians, software developers, and regulatory specialists. These interdisciplinary teams are essential for integrating genetic insights with engineering solutions to develop medical devices, diagnostics, or gene therapies. Effective collaboration ensures that products are both scientifically sound and practically viable, often resulting in more innovative and patient-focused outcomes. Working closely with experts from other disciplines also provides valuable learning opportunities and can accelerate career growth by broadening your skill set.

What is genetics biomedical engineering?

Genetics biomedical engineering is a specialized field that combines principles of genetics, molecular biology, and engineering to develop technologies and therapies for diagnosing, treating, and preventing genetic disorders. Professionals in this field design medical devices, gene therapy techniques, and diagnostic tools that leverage genetic information to improve patient outcomes. Their work often involves interdisciplinary collaboration among geneticists, engineers, and medical professionals to advance healthcare solutions based on genetic science.
Research Associate II

Research Associate II

Astrix Inc

South San Francisco, CA โ€ข On-site

Contractor

Posted 8 days ago


Job description

Pay Low: 31.00 | Pay High: 41.00
A leading research organization is seeking a Research Associate II to support cutting-edge functional genomics projects focused on large-scale, high-throughput DNA cis-regulatory element screening!
Job Title: Research Associate II - Functional Genomics
Location: On-site, South San Francisco, CA
Duration: 6-month contract with potential extension (Benefits included)
Pay rate:
A leading research organization is seeking a Research Technician II to support cutting-edge functional genomics projects focused on large-scale, high-throughput DNA cis-regulatory element screening. This lab-based role involves executing advanced molecular biology and high-content screening experiments and contributing to dataset generation for machine learning applications.
Key Responsibilities
  • Perform complex molecular and cellular biology experiments in functional genomics
  • Support massively parallel reporter assay (MPRA) screens across multiple cell types
  • Conduct custom DNA/RNA amplicon preparation and sequencing workflows
  • Execute molecular biology techniques including molecular cloning, qPCR, and flow cytometry
  • Maintain and work with primary cell cultures, with preference for iPSC and/or T cell culture experience
  • Assist in experimental design, data interpretation, and results communication
  • Contribute to development and optimization of genomics screening technologies

Qualifications
  • Bachelor's, Master's, or PhD in Biology, Genetics, Biomedical Engineering, or a related field
  • 2-5 years of relevant laboratory experience
  • Strong experimental design and data analysis skills
  • Highly organized, analytical, and self-motivated
  • Excellent communication and teamwork abilities

Preferred Technical Experience
  • MPRA or other pooled genetic screening approaches
  • Viral vector systems (e.g., lentivirus)
  • NGS library preparation and design
  • Single-cell genomics methods such as scRNA-seq or scMPRA

What This Role Offers
  • Hands-on experience with state-of-the-art functional genomics technologies
  • Exposure to high-throughput screening and machine learning-driven research
  • Opportunities for professional development, mentorship, and scientific learning
  • Must be authorized to work in US without sponsorship.

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