Data Scientist

4 weeks ago


San Francisco, United States Mitchell Martin Inc. Full time

Title: Computational Biology Data Scientist

Position Type: 1 year + extensions.

Location: San Francisco, CA / Hybrid


Job Description:

  • Seeking a highly qualified and motivated Data Scientist with a strong background in Computational Biology.
  • The data scientist will join the Bioinformatics Technology team within Client's Center for Research Acceleration by Digital Innovation (CRADI).


Responsibilities will include, but are not limited to:

  • Develops computational integrative omics models for the inference of multi-dimensional immunological signatures that can serve as pharmacodynamic and predictive biomarkers.
  • Identifies opportunities and delivers appropriate quantitative methods, such as AI/ML and causal learning, to push the state of the art for omics-based research biomarker discovery.
  • Enables and executes in silico perturbation analyses to predict cellular response to drug or genetic perturbations.
  • Develops innovative cloud-native bioinformatics workflows for rapid and sustainable omics data processing, quality control, and multi-omics data integration for systemic insights generation of disease biology and therapeutic mode of action.
  • Works cross-functionally with stakeholders and domain experts to build a comprehensive catalog of gene signatures for all Client-relevant therapeutic areas.
  • Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all Tas.
  • Collaborates with engineers, data scientists, and research scientists to develop innovative bioinformatics tools that facilitate data access, model utilization, and output interpretation.
  • Experience: PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Master’s degree & 5+ years of directly related experience OR Bachelor’s degree & 7+ years of directly related experience


Top must have:

  • Deep experience in and theoretical understanding of statistical modeling, machine learning, deep learning, causal learning, and other relevant quantitative methods.
  • Proven knowledge in molecular biology (knowledge of inflammation biology is a major plus).
  • Experience in integrative analysis of omics data for modeling of biological systems, including analysis of single-cell and spatial sequencing data.
  • Ideally experience with in silico modeling of cellular response to drug or genetic perturbation.


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