Scientist, Genomics and Cancer Biology
Natera is hiring a Scientist, Genomics and Cancer Biology. It pays $101k-$127k a year and Level rates it ; you can apply on Natera.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- The posting mentions R, Python and Ngs among its tools and skills.
- Level classes it as a mid-level role.
- Natera has 224 other open roles on Level.
- Posted in the last few days.
AI in this role
Drive multimodal genomics experiments and studies in cancer biology, translating complex datasets into biological insights.
Position Summary
We are seeking a Scientist to drive multimodal genomics experiments supporting external BioPharma
collaborations and internal discovery efforts. The Scientist will design, execute, and interpret studies that
combine bulk and single-cell epigenomic and transcriptomic, spatial transcriptomic, and proteomic
(including spatial proteomic) readouts on preclinical models and human patient samples, translating
complex datasets into biological insight for pharma partners and internal programs.
This is a hands-on, independent-contributor role for a scientist early in their industry career who
combines strong cancer-biology judgment with technical depth across multiple genomic platforms and is
comfortable working with computational scientists and project teams.
Key Responsibilities
• Drive end-to-end execution of multimodal genomics studies (e.g., DNA
methylation/hydroxymethylation, chromatin accessibility and occupancy, RNA-seq,
proteomics/phosphoproteomics) from experimental design through data delivery.
• Plan and execute single-cell RNA-seq, spatial transcriptomics, and spatial proteomics
experiments, including sample preparation, platform workflows, QC, and coordination with
computational scientists for downstream analysis of cell types, states, and tissue architecture.
• Translate collaborator and program questions (e.g., mechanism of action, therapeutic response,
biomarker discovery) into fit-for-purpose experimental designs, sample plans, and assay panels.
• Support external BioPharma collaborations: contribute to study scoping, execute studies to agreed
timelines, communicate progress and results to partners, and contribute to reports and
presentations.
• Lead internal discovery experiments that generate and test hypotheses about cancer cell state,
treatment response, and candidate biomarkers, including potential application to liquid-biopsy
(cfDNA/ctDNA) profiling.
• Generate high-quality NGS and, where applicable, mass-spectrometry datasets; perform library
preparation, QC, and sequencing run management, and flag technical or batch effects.
• Integrate multi-modal datasets using R and/or Python, in partnership with computational scientists,
to identify signatures and prioritize candidates.
• Implement and standardize laboratory workflows, including liquid-handling automation, to improve
throughput and reproducibility across projects.
• Maintain rigorous documentation, sample tracking, and data provenance; contribute to SOPs,
technical reports, manuscripts, and patents.
• Mentor and train junior staff and collaborators in experimental design and technical methods as
needed.
Minimum Qualifications -- Please include the full list of your first-author and co-authored publications.
• Ph.D. in Cancer Biology, Molecular Biology, Genetics/Genomics, Biochemistry, or a related field.
• Plus ONE of the following: (a) at least 1 year of relevant industry experience (biotech, pharma,
diagnostics, or equivalent), or (b) a completed postdoctoral fellowship.
• Demonstrated experience with at least two genomic modalities (e.g., epigenomic sequencing,
RNA-seq, proteomics) and with NGS library preparation and QC as evidenced in high quality
publications.
• Working proficiency in R and/or Python for genomic data analysis and visualization.
• Demonstrated ability to work across wet-lab and computational teams, and to communicate results
clearly in writing and verbally.
• Strong desire to drive the utilization of novel technological approaches to answer difficult biological
questions.
Preferred Qualifications
• Hands-on experience with single-cell RNA-seq, spatial transcriptomics and/or spatial proteomics
platforms (e.g., sequencing-based or imaging-based spatial assays, multiplexed tissue imaging),
including FFPE or fresh-frozen tissue handling.
• Familiarity with other high-dimensional platforms such as quantitative mass spectrometry.
• Experience with human patient tissue and preclinical models (cell lines, organoids, GEMMs).
• Familiarity with functional assays (flow cytometry, viability, live-cell imaging, protein-interaction and
kinase assays).
• Experience working in a collaborative environment.
• Ability to manage timelines and deliverables across multiple concurrent projects.
Core Competencies
• Scientific independence and sound experimental design across multiple platforms
• Rigor in data quality, controls, and distinguishing signal from artifact
• Collaboration with wet-lab, computational, and project-management colleagues
• Clear communication of complex data to technical and non-technical (including pharma) audiences
• Prioritization and reliable delivery against partner and program timelines
• Excellent presentation and writing skills
Compensation & Total Rewards
This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.
This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:
-
Annual performance incentive bonus
-
Long-term equity awards
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Comprehensive health benefits (medical, dental, vision)
-
401(k) with company match
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Generous paid time off and company holidays
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Additional wellness and work-life benefits
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
How we rate this
Scientist, Genomics and Cancer Biology at Natera rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where genomics was part of your work. What did you do?
- Tell me about a project where cancer biology was part of your work. What did you do?
- Tell me about a project where molecular biology was part of your work. What did you do?
- Tell me about a project where single cell rna seq was part of your work. What did you do?
- Tell me about a project where bioinformatics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Genomics, Cancer Biology, Molecular Biology, Single Cell Rna Seq, and Bioinformatics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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