We are seeking an exceptional, highly motivated early-career multidisciplinary data scientist/computational biologist to work in a collaborative environment, partnering closely with our functional genomics and data science groups to design experiments, analyze results, and develop analytic solutions to address underlying biological questions in a high-throughput manner. The successful candidate has broad expertise in the analysis of biological data - e.g. bulk and single-cell transcriptomics, proteomics, methylation, etc - and will use this knowledge to deeply characterize cellular state and responses to therapeutic interventions. The role requires high-level analytical skills and an ability to collaborate and communicate with diverse groups of biomedical scientists to investigate new disease-modifying targets.
- Work in close collaboration with data science and functional genomics (wet lab) teams to integrate results from functional genomics studies with human genetics data for new target identification/ prioritization.
- Thoughtful design and reproducible analysis of functional genomic experiments, e.g. single-cell / single-nuclei and bulk transcriptomics, and proteomics data investment in developing scalable informatics platforms integrating high throughput functional genomics screens.
- Communicate analytical results verbally and in writing to audiences with diverse scientific and business backgrounds.
Requirements
- A Ph.D. in a relevant field, including — but not limited to — Computational Biology, Bioinformatics, Genomics, Biostatistics, etc, with or without post-doctoral or industry experience.
- Experience in analyzing data from next-generation sequencing, single-cell sequencing, various modalities of CRISPR technology, ChIP-Seq, ATAC Seq, etc
- Understanding of statistical approaches for the analysis of high-dimensional data.
- Deep curiosity about the biology of disease and the development of cellular models such as iPSCs.
- Ability to work independently and collaboratively on multiple fast-paced projects in molecular biology and genomics.