Computational Biologist

3 days ago


South San Francisco, California, United States Astrix Full time
Job Title: Computational Scientist

Location: Remote

Pay: $50-63/hr

Position Type: Full-time contract for an initial period of one year, with the possibility of extension. The role is available as either a hybrid or fully remote position.

Our Client: A leading biotech company focused on immuno-oncology research.

Job Summary:

We are seeking a highly motivated computational scientist to join our team. The successful candidate will be responsible for developing and applying innovative analytical methods to integrate genetic variant analysis with single-cell sequencing data.

Key Responsibilities:
  • Design and implement production-level pipelines to integrate data with single-cell RNA-Seq data.
  • Collaborate with scientists in the genetics department to analyze large datasets, including genetic, genomic, and clinical data from internal studies, clinical trials, high-throughput screens, academic and industry collaborations, and publicly available datasets.
  • Develop and refine analytical methods to integrate and interpret these diverse data types, providing insights into disease biology to support the company's translational research objectives.
Required Qualifications:
  • PhD (or Master's degree with substantial experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field.
  • Extensive experience in large-scale genetic and genomic data analysis, including:
  • Expertise in analyzing single-cell RNA-Seq data and other single-cell sequencing techniques.
  • Proficiency in integrating genetic and molecular data for multimodal analyses.
  • Experience with association analysis using array-based and sequence-based genetic data.
  • Strong programming skills in R, Python, and shell scripting.

This role offers the opportunity to contribute to cutting-edge research in immuno-oncology, working with a dynamic team to drive forward our understanding of disease mechanisms and potential therapeutic targets.



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