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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in aging biology through advanced data analysis and experimental design, utilizing R or Python for scientific data interpretation. Proven ability to contribute to research publications and collaborate effectively within interdisciplinary teams.
Highest-signal resume keywords
Advanced Degree In BiologyExperience With R Or PythonPublished Research In Aging BiologyExperimental Hands-On Wet-Lab ExperienceFamiliarity With AI Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisMachine LearningStatistical GeneticsProteomicsTranscriptomicsBiomarkers Of AgingExperimental DesignSequencing Library PreparationFlow CytometryCell Culture
Soft Skills
Strong Scientific Writing SkillsHigh AgencyInitiative
Tools & Technologies
Scientific-Data RepositoriesUK BiobankTCGAGEOENCODE
Industry Keywords
GeroscienceBiotechLongevity EcosystemAging BiologyTherapeutic Discovery
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Improve AI agents’ ability to reason like expert geroscientists
- Build tasks evaluating aging-specific analysis capabilities and scientific taste
- Help accelerate research across the aging and longevity ecosystem
- Develop, apply, and interpret biomarkers of aging, including proteomic and epigenetic clocks
- Design and analyze experiments related to the Hallmarks of Aging
- Quantify cellular senescence, identify stem cell exhaustion, and measure genomic instability
- Integrate and analyze transcriptomics, proteomics, DNA methylation, functional measurements, health records, and imaging data
- Use high-throughput screening data to discover and prioritize candidate anti-aging drug targets
- Collaborate with scientists and software engineers building biology benchmarks
- Participate in a team working across geroscience research, therapeutic discovery, and development
Requirements
What you’ll need- Advanced degree (MS/PhD) in biology, bioinformatics, computational biology, or a related field
- Contribution to published research in aging biology or an adjacent field, such as a first-author paper, thesis, or independent project
- Deep familiarity with AI coding tools
- Strong scientific writing skills
- High agency and initiative
- Demonstrated experience using R or Python to analyze scientific data
- Computational or experimental experience
- Computational experience applying machine learning, data analysis, or statistics to -omics data; methods development; or statistical genetics
- Experimental hands-on wet-lab experience with aging-relevant experiments and assays, such as sequencing library preparation, model-organism studies, senescence assays, flow cytometry, cell or organoid culture, and in vivo intervention studies
- Strongly preferred: industry experience in biotech, tech, or a similar field
- Strongly preferred: multiple first-author publications
- Strongly preferred: familiarity with scientific-data repositories such as UK Biobank, TCGA, GEO, and ENCODE
Benefits
Comp & perks- In the US: full-time W-2 employment
- Health, dental, and vision insurance: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
- Fully remote work option
- $10K sign-on if you start within 2 weeks of signing
- Equity
- Uncapped OTE / performance-based pay
- First 4 weeks (ramp) paid at full OTE while training
- Full OTE when quota cannot fairly apply
- Monthly advance of 60% of OTE for contractors outside the US, never clawed back
- Company outings most months
- Team off-sites
- Catered lunch and dinner and unlimited snacks at the San Francisco office
- Two career-growth tracks with promotions based on output
- H-1B, O-1, and TN sponsorship and STEM OPT support