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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant 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 & technologiesPython
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
