Scientist, Computational Biology
$135,000–$186,500 year
On-sitePalo Alto, California, United States
Job Summary
Conduct tertiary analyses of large-scale Perturb-seq, single-cell sequencing, and multi-omic datasets to identify functional relationships between genes, regulatory programs, and cellular phenotypes. Partner with experimental teams on iterative study design, analysis, and validation to discover computational insights that translate into testable biological hypotheses. Develop reusable analysis notebooks, dashboards, and software tools that enable scientists to explore complex datasets effectively. Present findings to internal stakeholders and contribute to preprints or open-source projects as needed. Mentor colleagues and interns within a collaborative, intellectually rigorous environment. Work a minimum of three days onsite in our Palo Alto office.
Required Qualifications
- PhD in computational biology, bioinformatics, genomics, systems biology, machine learning, computer science, molecular biology, or a related field, with 0–4 years of postdoctoral or professional research experience
- Demonstrated track record of deriving biological insight from large-scale single-cell, perturbational, or multi-omic datasets
- Hands-on experience with single-cell, perturbational, or multi-omic data, e.g. single-cell RNA-seq, Perturb-seq or CRISPR screens, single-cell ATAC-seq or multiome, including tertiary analysis, such as gene regulatory network inference, perturbation-effect or interaction modeling
- Expertise in at least one of the following: (a) Perturb-seq / CRISPR screen analysis at scale, including guide assignment, perturbation-effect estimation, interaction modeling, batch correction, and interpretation of pooled genetic screens; or (b) Single-cell analysis of microglia, in the context of neurodegeneration and Alzheimer's disease biology
- Python proficiency, with experience using modern scientific computing and data analysis ecosystems
- Familiarity with reproducible computational workflows, version control, and high-performance or cloud computing environments
- Biological intuition and the ability to collaborate effectively with experimental scientists
- Excellent written and verbal communication skills, with a track record of publications, preprints, open-source tools, or other scientific outputs
- Ability to work in a fast-paced, ambitious, interdisciplinary research environment
- Work a minimum of 3 days onsite in our Palo Alto office
Desired Qualifications
- Background in cell identity, reprogramming, RNA biology, cell engineering, neurobiology, immunology, cancer biology, or complex disease genetics
- Familiarity with dimensionality reduction and gene module analysis techniques in the context of single-cell biology
- Experience in a startup, technology center, research institute, or other highly collaborative environment where scientific direction and technical execution are tightly coupled
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