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Google Bioinformatics Jobs (NOW HIRING)

Profluent

Operations Associate I/II

Emeryville, CA

Act as a buyer for the Bioinformatics, Machine Learning, and Biology teams, managing Purchase ... Proficiency with Rippling, Ramp, Google Drive, and Notion * Ability to lift 40 lbs * Desire to ...

Stellaromics, Inc.

Staff Software Engineer

Boston, MA · On-site

$155K - $180K/yr

At least 4 years of experience with cloud application (Azure, AWS, Google) development: web API ... Strong plus for prior experience with Bioinformatics Pipelines. Why Stellaromics? * Innovative ...

Profluent

Operations Associate I/II

Emeryville, CA · On-site

$80K - $100K/yr

Act as a buyer for the Bioinformatics, Machine Learning, and Biology teams, managing Purchase ... Proficiency with Rippling, Ramp, Google Drive, and Notion * Ability to lift 40 lbs * Desire to ...

Freenome

Senior Software Engineer II

Brisbane, CA · On-site

$161.93K - $227.33K/yr

Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform. * Proven experience in ... Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.

Freenome

Senior Software Engineer II

Brisbane, CA · Remote

$161.93K - $227.33K/yr

Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform. * Proven experience in ... Domain-specific experience in computational biology, genomics, bioinformatics, or a related field.

DNAnexus

Sales Development Rep, Pharma

Boston, MA

Building on 15 years of bioinformatics innovation and genomics expertise, DNAnexus provides the ... Working knowledge and use of Salesforce.com or related CRM, Google Workspace or Microsoft Office ...

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How much do google bioinformatics jobs pay per year?

As of May 30, 2026, the average yearly pay for google bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Google Bioinformatics job?

A Google Bioinformatics job involves using computational and statistical techniques to analyze biological data, such as genomics, proteomics, or medical records. Bioinformatics professionals at Google work on algorithms, machine learning models, and scalable data pipelines to support research in healthcare, drug discovery, and genetics. They collaborate with engineers, researchers, and healthcare experts to develop advanced tools for interpreting complex biological datasets. These roles typically require expertise in programming, data science, and life sciences.

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

To thrive as a Google Bioinformatics professional, you need a strong background in computational biology, data analysis, and programming languages such as Python or R, typically supported by a degree in bioinformatics, computer science, or a related field. Experience with bioinformatics tools, cloud platforms (especially Google Cloud), and version control systems is highly valued. Strong problem-solving skills, effective cross-functional communication, and the ability to work both independently and collaboratively are essential soft skills. These competencies enable you to efficiently analyze large-scale biological datasets, contribute to high-impact research, and drive innovative solutions in a constantly evolving tech environment.

What kind of projects or research does the Google Bioinformatics team typically work on?

Google Bioinformatics teams often tackle projects involving large-scale genomic data analysis, development of computational biology pipelines, and creation of tools that support healthcare and life sciences research. You may work on improving algorithms for DNA sequencing, building scalable machine learning models for biomedical data, or collaborating with research partners to advance personalized medicine initiatives. The work environment is interdisciplinary, with team members from diverse scientific and technical backgrounds collaborating closely. Expect opportunities to publish research, contribute to open-source projects, and continually learn from the latest advancements in both bioinformatics and technology.

Can bioinformatics work in Google?

Bioinformatics roles at Google involve applying computational and data analysis skills to biological data, often in research or health-related projects. These positions typically require knowledge of programming, data analysis tools, and biological sciences, and may involve collaboration with cross-disciplinary teams. Google offers opportunities for bioinformatics professionals in areas like health AI and genomics research.
More about Google Bioinformatics jobs
What cities are hiring for Google Bioinformatics jobs? Cities with the most Google Bioinformatics job openings:
What states have the most Google Bioinformatics jobs? States with the most job openings for Google Bioinformatics jobs include:
What job categories do people searching Google Bioinformatics jobs look for? The top searched job categories for Google Bioinformatics jobs are:
Google Bioinformatics jobs near you
Infographic showing various Google Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 1% As Needed, 11% Full Time, 50% Part Time, 3% Temporary, and 32% Contract. Highlights an 33% Physical, and 67% Hybrid job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Postdoctoral Fellow in Cancer Biology

Postdoctoral Fellow in Cancer Biology

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$28.50 - $34.21/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

71st of 864 rated healthcare providers

Job description

Postdoctoral Fellow in Cancer Biology
A postdoctoral position is available in Dr. Lixin Wan's group at Moffitt Cancer Center Department of Molecular Oncology.
The research in Dr. Wan's lab is focused on protein post-translational modifications. We are interested in understanding how these modifications are misregulated in tumor cells, tumor-infiltrating immune cells, and tumor-interacting stroma cells. We are also interested in developing next-generation techniques to characterize these modifications. Our current projects include the multifaceted roles of ITCH in melanoma and the melanoma immune microenvironment, the context-dependent functions of master cell cycle regulator APC/C in breast cancer and ovarian cancer, the crosstalk between tumor cell aneuploidy and innate immunity, and several others.
The lab uses a wide range of approaches in our projects: molecular biology, protein biochemistry, in vitro cell culture models, xenograft and syngeneic mouse models, genetically engineered mouse models, various CRISPR-based techniques, and genomic/transcriptomic/proteomic omics techniques. Our recent representative publications: Qing et al, Nature Communications 2019; Han et al. Nature Communications 2019; Dai et al. Cell Reports 2022. Others can be found on Dr. Wan's Google Scholar page: https://scholar.google.com/citations?user=VKWLR3MAAAAJ
The Ideal Candidate:
  • Experienced in molecular biology, cell biology and biochemistry techniques including cloning, virus delivery system, CRISPR/Cas9 system, DNA/RNA manipulation, protein purification, and immunoblot.
  • Animal handling, mouse modeling and small animal imaging experience.
  • Basic imaging techniques including immunofluorescence, live color imaging.
  • Basic bioinformatics skills.
  • Previous experience in next-generation sequencing techniques (RNA-seq, ChIP-seq, etc) and/or proteomics is a plus.
  • Previous immunology experience is a plus.

Responsibilities:
  • Work with PI on the project planning; design and conduct experiments independently; document and organize the data routinely.
  • Learn and develop research techniques and lab protocols.
  • Develop scientific writing and presentation skills.
  • Work with collaborators and core facility staff on interdisciplinary experiments.
  • Supervise research assistants and graduate students.

Credentials and Qualifications:
  • MD or PhD in Cancer Biology, Molecular and Cellular Biology, Genetics or related.

Interested applicants should apply online via Moffitt Career site, additionally send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Lixin Wan (Lixin.Wan@moffitt.org ).
Moffitt Postdocs are provided with Medical (Moffitt covers premium for team member) and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. You may be eligible for relocation allowance per policy. Reasons to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. We strive for work/life balance.
If you have the vision, passion, and dedication to contribute to our mission,
then we have a place for you.

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