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Google Biomedical Engineering Jobs (NOW HIRING)

Harvard University

Research Software Engineer

Boston, MA · On-site

$223K/yr

An overview of recent publications of the lab can be found on Google Scholar We value diverse ... engineering problems where biomedical data, humans, and AI meet. We would love to have you on our ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Minimum 5+ years of experience in cloud computing platforms like AWS, Azure, and Google Cloud ... We look for Science - Biotechnology, Pharmaceutical Technology, Biomedical Engineering ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Minimum 5+ years of experience in cloud computing platforms like AWS, Azure, and Google Cloud ... We look for Science - Biotechnology, Pharmaceutical Technology, Biomedical Engineering ...

Harvard University

Research Software Engineer

Boston, MA · On-site

$223K/yr

An overview of recent publications of the lab can be found on Google Scholar We value diverse ... engineering problems where biomedical data, humans, and AI meet. We would love to have you on our ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

LaserAway

Laser Field Service Engineer

San Jose, CA · On-site

$90K - $95K/yr

Proficient computer skills including the use of email, video conferencing, Google spreadsheets, and ... Biomedical Engineering * Project Management * Electrical Engineer * Any engineering * Electrician ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Demonstrated experience with cloud platforms including Google ...

Lexical Intelligence, LLC

NLM Cloud Engineer III

Bethesda, MD · On-site

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Demonstrated experience with cloud platforms including Google ...

Opentrons

$90K - $105K/yr

Bachelor's degree in Life Sciences, Biotechnology, Biomedical Engineering, Engineering, or a ... Proficiency in Google Suite or equivalent productivity software. * Ability to work independently ...

Lexical Intelligence LLC

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

... biomedical information sources. Our Natural Language Processing (NLP) and analytics software is ... Engineering, or related fields * Hands-on experience with cloud platforms (Google Cloud, AWS, and ...

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Google Biomedical Engineering information

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$41K

$94.8K

$140K

How much do google biomedical engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for google 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 is a Google biomedical engineering job?

A Google Biomedical Engineering job involves applying engineering principles to develop innovative healthcare technologies, medical devices, and computational tools. Biomedical engineers at Google work on projects related to AI-driven diagnostics, wearable health technologies, and bioinformatics. They collaborate with scientists, software engineers, and healthcare professionals to improve patient outcomes and advance medical research. The role requires expertise in biomedical engineering, programming, and data analysis.

What types of projects do Google biomedical engineering professionals typically work on, and how do they collaborate with other teams?

Biomedical Engineering professionals at Google are commonly involved in projects such as developing health-related algorithms, improving medical imaging technologies, and creating data-driven healthcare solutions. They work closely with interdisciplinary teams, including software developers, data scientists, clinicians, and UX designers, to bring advanced medical technologies to market. Daily responsibilities may involve analyzing large-scale health data, prototyping wearable devices, or optimizing healthcare AI applications. Collaboration is key, as projects often require coordination between research, engineering, and regulatory teams to ensure robust and user-friendly outcomes.

What are the key skills and qualifications needed to thrive in the Google biomedical engineering position, and why are they important?

To thrive as a Google Biomedical Engineer, you need a strong background in biomedical engineering, computer science, and data analysis, ideally supported by an advanced degree and practical experience. Familiarity with software development tools (such as Python or MATLAB), medical imaging systems, and machine learning platforms is commonly required. Strong problem-solving abilities, effective communication skills, and a collaborative mindset are vital soft skills for working on cross-functional teams. These competencies ensure innovative solutions, effective teamwork, and the ability to translate complex biomedical data into impactful technologies.

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What cities are hiring for Google Biomedical Engineering jobs?

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What are the most commonly searched types of Google Biomedical Engineering jobs?

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What states have the most Google Biomedical Engineering jobs?

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Google Biomedical Engineering jobs near you
Infographic showing various Google Biomedical Engineering job openings in the United States as of September 2026, with employment types broken down into 57% Full Time, 29% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

AD Scientific Innovation

Houston, TX • On-site

Baylor Miraca Genetics Laboratories LLC
201 - 500 employees
Learn more about Baylor Miraca Genetics Laboratories LLCexternal

Other

Re-posted 11 days ago

Job description

The Associate Director of Bioinformatics Innovation is responsible for driving the strategic vision, innovation roadmap, and execution of next-generation bioinformatics technologies that enable breakthrough products in genomics, precision medicine, molecular diagnostics, and AI-driven healthcare. This role combines scientific innovation,, computational expertise, and cross-functional collaboration to transform emerging technologies into scalable clinical and commercial solutions. THIS Can be REMOTE or Hybrid

The successful candidate will lead innovation initiatives across computational biology, machine learning, genomics, cloud computing, and software platforms while partnering closely with R&D, Bioinformatics R&D and Software Engineering and Business Development teams.

KEY RESPONSIBILITIES
  • Define and execute the bioinformatics innovation ideas.
  • Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health.
  • Evaluate novel computational methods and translate cutting-edge research into commercially viable products.
  • Partner with cross-functional teams to translate innovative computational solutions into prototypes.
  • Support product roadmap planning and technology transfer.
  • Evaluate external technologies, open-source platforms, strategic partnerships, and licensing opportunities.
  • Foster a culture of innovation, collaboration, scientific excellence, and continuous learning.
QUALIFICATIONS Required
  • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field.
  • 8 years of experience in bioinformatics, computational biology, or genomics.
  • 3 years of experience managing and leading a team, including direct people management responsibilities.
  • Familiarity with modern programming languages such as Python, R, C++, or Java.
  • Demonstrated success leading innovative computational solution development.
  • Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
  • Experience developing production-grade bioinformatics pipelines and software platforms.
  • Excellent communication and presentation skills.
Preferred:
  • Strong understanding of machine learning and AI applications in life sciences.
  • Experience working in multidisciplinary teams.
  • Experience with cloud computing platforms (AWS, Azure, or Google Cloud).
  • Experience with large-scale genomic databases and real-world clinical data.
  • Track record of patents, publications, or successful product launches.
COMPETENCIES
  • Strategic Thinking
  • Scientific Excellence
  • Cross-functional Collaboration
PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit, talk, and hear.
  • Regular use of computer, keyboard, and standard office equipment.
  • May be required to manage multiple competing priorities in a fast-paced environment.
EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

EEO STATEMENT

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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