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Natera

Scientist, Genomics – Cancer Biology

Natera

. Drive end-to-end execution of multimodal genomics studies from experimental design through data delivery .

Posted 11/3/2026full-timeRemote • United StatesJunior💰 $101,400 - $126,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in multimodal genomics studies, including single-cell RNA-seq, spatial transcriptomics, and NGS library preparation. Proficient in R and/or Python for genomic data analysis, with strong communication skills for collaborating across teams and presenting findings.

Highest-signal resume keywords
Single-Cell RNA-SeqSpatial TranscriptomicsNGS Library PreparationR And/Python ProficiencyBiopharma Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Experimental DesignData DeliverySample PreparationQuality ControlDownstream AnalysisLiquid-Biopsy ProfilingMass SpectrometryData ProvenanceTechnical Report WritingSOP Development
Soft Skills
CommunicationMentoringCollaborationProject Management
Tools & Technologies
Liquid-Handling AutomationFlow CytometryLive-Cell ImagingProtein-Interaction AssaysKinase Assays
Industry Keywords
Cancer BiologyMolecular BiologyGenetics/GenomicsBiochemistryPreclinical Models

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Drive end-to-end execution of multimodal genomics studies 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 downstream-analysis coordination
  • Translate collaborator and program questions into experimental designs, sample plans, and assay panels
  • Support external BioPharma collaborations through study scoping, execution, progress and results communication, reports, and presentations
  • Lead internal discovery experiments on cancer cell state, treatment response, and candidate biomarkers, including potential liquid-biopsy profiling
  • Generate NGS and applicable mass-spectrometry datasets; perform library preparation, QC, sequencing-run management, and technical-effect detection
  • Integrate multimodal datasets using R and/or Python with computational scientists to identify signatures and prioritize candidates
  • Implement and standardize laboratory workflows, including liquid-handling automation
  • Maintain documentation, sample tracking, and data provenance; contribute to SOPs, technical reports, manuscripts, and patents
  • Mentor and train junior staff and collaborators as needed

Requirements

What you’ll need
  • Ph.D. in Cancer Biology, Molecular Biology, Genetics/Genomics, Biochemistry, or a related field
  • At least 1 year of relevant industry experience or a completed postdoctoral fellowship
  • Experience with at least two genomic modalities
  • Experience with NGS library preparation and QC, evidenced in high-quality publications
  • Working proficiency in R and/or Python for genomic data analysis and visualization
  • Ability to work across wet-lab and computational teams
  • Ability to communicate results clearly in writing and verbally
  • Strong desire to utilize novel technological approaches to answer difficult biological questions
  • Preferred: Hands-on experience with single-cell RNA-seq, spatial transcriptomics and/or spatial proteomics platforms, including FFPE or fresh-frozen tissue handling
  • Preferred: Familiarity with quantitative mass spectrometry
  • Preferred: Experience with human patient tissue and preclinical models
  • Preferred: Familiarity with functional assays, including flow cytometry, viability, live-cell imaging, protein-interaction and kinase assays
  • Preferred: Ability to manage timelines and deliverables across multiple concurrent projects

Benefits

Comp & perks
  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits
  • Life and disability plans for eligible employees and dependents
  • Free testing for employees and immediate families
  • Fertility care benefits
  • Pregnancy and baby bonding leave
  • Commuter benefits
  • Employee referral program