Computational Scientist
4 days ago
Currently I have an opening for a Computational Scientist located in South San Francisco, CA (Hybrid Schedule). Details for the position are as follows:
Job Description:
- The Human Genetics department at the client site is seeking a highly independent computational scientist with a strong hands-on analytical background in genetic epidemiology, statistical genetics, or computational biology, to develop and apply analytical approaches to integrate and interpret genetic, genomic, and clinical data.
- We are particularly interested in candidates with skill sets that position them to tackle the integration of multiple sources of human biological data, such as whole genome sequencing and single cell RNA-Seq/ATAC-Seq data, including knowledge of emerging multimodal data integration methods.
- Collaborate with scientists in Human Genetics department to analyze large datasets of genetic, genomic, and clinical data from internal studies (including our clinical trials and high throughput screens), collaborations with academic and industry partners, and public external data sets.
- Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology to propel our translational goals.
- Coordinate the intake and preparation of new datasets as they become available for analysis.
- Present findings to the department and cross-functional collaborators and contribute to publications.
- PhD (or Masters with significant experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field and an understanding in principles of genetic epidemiology.
- Analysis of sequence-based molecular assay data (eg RNA-Seq) including differential expression methods, single-cell sequencing data (eg scRNA-Seq, scATAC-Seq) and/or proteomic data.
- Fluent in R, python, and shell scripting. Some familiarity with C++ will be a plus.
- Experience working with git and high-performance computing (e.g. the slurm scheduling manager).
Technical Information:
- Hybrid position in South San Francisco, CA
- 12-month contract, potential for extension/conversion
- Pay: $50-63 hourly, depending on experience level
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