Job Specifications
About the Company
Crownlands is building a precision neurology discovery platform to understand root causes, subtypes, and progression of neurodegenerative and psychiatric disease. We generate large-scale human multi-omic data and build the computational systems that translate biology into clear, decision-grade outputs. We operate from first principles: assumptions are hypotheses, and everything is worth pressure-testing.
About the Role
We’re seeking Computational Biology Interns to join our In Silico team to work on single-cell analysis and the tooling that makes it reproducible, scalable, and accessible across the organization. This is a high-ownership internship: you will work on real human data, ship decision-driving analysis, and collaborate closely with a small team moving quickly. Exceptional interns will be extended a full-time return role at the end of the internship.
Responsibilities
Cell typing and lineage refinement: Improve depth and accuracy for targeted lineages to unlock new biological and product capabilities.
Robust gene programs and networks: Evaluate and harden workflows (program calling, network inference, stability/robustness checks) that generalize across donors and batches.
State/factor modeling: Apply latent factor and state methods (e.g., pathway/state scoring, decomposition approaches) and convert outputs into interpretable biology and usable artifacts.
Internal analysis and ML tooling: Contribute to pipelines and libraries that increase iteration speed, reproducibility, and auditability.
Agent-ready, standardized analysis tools: Build MCP-compatible tools so internal agents can query human curated analysis outputs and return structured synthesis (tables/plots/metrics) consistently.
Qualifications
Typical background: senior student (undergraduate, master’s, or PhD) in CS, Biology, Computational Biology, Genetics, Neuroscience, or a related field.
Required Skills
Hands-on single-cell analysis experience (Seurat and/or Scanpy).
Strong R and/or Python, plus practical UNIX competence (environments, CLI workflows, basic debugging).
Demonstrated ability to deliver (e.g., a GitHub repo, publication, preprint, poster, project write-up).
Comfort working in ambiguous problem spaces and driving work to completion.
Preferred Skills
Familiarity with neuroscience and/or neurodegenerative disease research.
Experience building reusable tooling: packages, pipelines, CI/testing, containers, workflow orchestration, or cloud/HPC.
Experience with robustness/stability evaluation across donors/batches (downsampling, perturbation testing, sensitivity analyses).
Pay range and compensation package
Compensation: Prorated $90,000 annual salary
Equal Opportunity Statement
We are committed to diversity and inclusivity.
Logistics
Term: Summer 2026
Duration: 12–16 weeks (flexible start date)
Location: On-site, downtown San Francisco
Work authorization: Must be authorized to work in the U.S.
Compensation: Prorated $90,000 annual salary
Support: Public transit commute support + equipment provided
About the Company
Crownlands develops precision medicines for neurodegenerative and CNS diseases with data and scale. Our goal is to give everyone and their brains twenty more sharp, healthy, happy years to do what they love.
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