What are the responsibilities and job description for the Computational Biology Intern position at Crownlands?
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
Salary : $90,000