Computational Biologist
| Company | Conception |
|---|---|
| Location | Berkeley, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Junior, Mid Level |
Requirements
- PhD in computational biology, genomics, systems biology or related field or masters + 1-3 years of industry experience.
- Highly proficient in R, python, and bash
- Highly proficient in analyzing RNA-seq data, including experience with single cell RNAseq packages/workflows/algorithms.
- Excellent foundational data analysis skills (understand how to clean/QC data, grasp of basic statistical principles, generate hypotheses and ‘smell test’ data before returning a result)
- Highly proficient in building and running automated preprocessing workflows for a variety of data types including (sc)RNAseq or ATAC-seq
- Proficiency in versioning and collaborative coding via git
- Strong ability to devise, scope, and execute data analyses independently
- Prior experience translating computational findings into testable hypotheses and experimental designs
- Strong communication skills, particularly with diverse audiences
- Prior experience with a high performance computing cluster and/or cloud computing environment
Responsibilities
- Functionally interact with core Conception computational infrastructure including databases, automated pipelines, HPC cluster, etc
- Contribute to team code bases, using best practices for documentation and version control
- Work with biology teams to independently perform team-specific analysis projects using both in-house & publicly available data
Preferred Qualifications
- Prior experience with iPSC derivation & germ cell biology preferred
- Knowledge of relevant bench techniques is beneficial
- Experience with spatial transcriptomics