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Afternoon Genomics Data Scientist Jobs (NOW HIRING)

Paradigm Health

Informatics Senior Data Scientist

Experience with biomarker and/or genomic ontologies or terminologies * Familiarity with healthcare ... Experience with data science tools, programming languages (e.g., Python, R, SQL) At Paradigm Health ...

Merck & Co.

$194K - $305K/yr

Experience with genomic datasets across cancer types and therapeutic modalities with proven ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

... genomics, clinical, demographic), driving impactful data visualization and advancing our ... Work closely with other departments such as R&D, Data Science, Business Development, Medical ...

Genomics Ltd

Lead Scientist

Triangle, VA · On-site

... method in the afternoon. Throughout, you are translating dense genomic results into clear ... You are fluent in genomic data analysis at scale, comfortable with large genetic datasets, GWAS ...

Natera

Staff Scientist, Bioinformatics/RWD

Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting ... Proven expertise in bioinformatics, particularly in genomics data analysis. Demonstrated expertise ...

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Afternoon Genomics Data Scientist information

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$46K

$165K

$243.5K

How much do afternoon genomics data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for afternoon genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Afternoon Genomics Data Scientist vs Morning Genomics Data Scientist?

AspectAfternoon Genomics Data ScientistMorning Genomics Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysisBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysis
Work EnvironmentTypically works in research labs, biotech firms, or healthcare settings during afternoon shiftsSimilar environments, often during morning shifts or standard business hours
Employer & Industry UsageUsed in biotech, healthcare, and research institutions with flexible or shift-based schedulesCommon in similar industries, often with standard daytime hours

The main difference between an Afternoon Genomics Data Scientist and a Morning Genomics Data Scientist lies in their work shifts. Both roles require similar qualifications and are employed in comparable environments within biotech and healthcare sectors. The choice often depends on the employer's scheduling needs or personal preference for working hours.

More about Afternoon Genomics Data Scientist jobs

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What are the most commonly searched types of Genomics Data Scientist jobs?

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Afternoon Genomics Data Scientist jobs near you
Infographic showing various Afternoon Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Scientist II, Cancer Genomics, Clinical Biomarker Development

Revolution Medicines

Redwood City, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.
Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor-all in service of patients.
The Opportunity:
In this role you will join the Cancer Genomics group in Clinical Biomarker Development, which sits within the Translational Medicine department to develop biomarker, technology, and computational strategies for our RAS(ON) inhibitor programs. You will drive the application of advanced genomics analyses to maximize insight generation from clinical samples in our Phase I-III studies. This role offers the chance to work in a collaborative and innovative environment, including on cross-functional teams with other computational scientists, biomarker leads, biostatisticians, and preclinical scientists.
As a Cancer Genomics Scientist II in Clinical Biomarker Development, you will:
  • Apply advanced analytics and genomics solutions to clinical biomarker data to inform research & development.
  • Integrate multi-omics datasets to interrogate disease biology and prognosis, mechanisms of resistance, and predict drug response.
  • Collaborate with cross functional teams, managing interactions with key stakeholders to deliver robust biomarker analyses and recommend follow up actions.
  • Communicate results to expert and non-expert audiences, including internal cross-functional team members and external collaborators, through scientific publications and presentations.

Required Skills, Experience, and Education:
  • A Ph.D. in Cancer Genomics, Genetics, Computational Biology, Bioinformatics, or similar degree.
  • A minimum of 2 - 6 years post-PhD experience analyzing cancer genomics data (post-doc, biotech, pharma, diagnostics, or combination).
  • A strong foundation in cancer biology, preferably with an understanding of RAS/MAPK signaling pathways in pancreatic, lung, or colorectal cancer.
  • Proficiency programming in R and/or Python, and expert in clearly documenting work with a version control system (git).
  • Experienced in Linux and the cloud, including HPC clusters and command line interface, and developing genomics workflows for large scale NGS datasets.
  • Experienced analyzing ctDNA or other liquid biopsy data derived from blood samples.
  • Experienced in the interrogation of DNA sequence data derived from tumor tissue, such as gene-panel, whole-exome or whole-genome data and downstream analytics (clonality estimates, copy number variation, chromosomal instability, mutational signatures, etc).
  • Practiced in commonly used tools and methods for DNA data analysis (GATK, Bioconductor, etc) and in utilizing publicly available datasets (TCGA, cBioPortal) to interrogate cancer genomics data.
  • Strong understanding of statistics and the ability to generate robust predictive models with multidimensional data.
  • Strong interpersonal, verbal and written communication skills; proactive, self-motivated, and adaptable in a dynamic environment.
  • Demonstrated ability to translate complex data into clear biological insight, and to influence project direction through data-driven scientific inquiry.

Preferred Skills:
  • Experienced analyzing clinical endpoints (ORR, PFS, OS) including survival analysis.
  • Longitudinal ctDNA data analysis for predicting clinical endpoints (ORR, PFS, OS).
  • Deep knowledge of pancreatic, lung, or colorectal cancer, preferably including how progression, response and resistance may be mediated by biomarkers detected in tissue and/or blood biomarkers.
    #LI-Hybrid #LI-EM1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$132,000-$166,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.

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