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Job

Postdoctoral Fellow - Translational Medicine, Jia Lab

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Genentech

22d ago

💼 Graduate Job

San Francisco

AI generated summary

  • You must have a PhD in a relevant field with strong research experience, a stellar publication record, expertise in bioinformatics tools, and a passion for using data to uncover insights in disease biology. Collaborative, curious, and able to communicate complex results effectively.
  • You will lead computational analysis of high-dimensional data for multiple sclerosis research, integrating genetics, transcriptomics, imaging, and biomarkers across human data sets. Liaise with interdisciplinary teams for translational discovery and publish scientific papers.

Graduate Job

Research & Development, ScienceSan Francisco

Description

  • The Translational Medicine (TM) department at Genentech is seeking a highly motivated Postdoctoral Fellow (Bioinformatics) to lead analysis of complex biological datasets related to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate the molecular pathways of disease and to establish the mechanism of action of our therapeutics.
  • The successful candidate will work with our team to analyze multi-level biomarker data generated from pre-clinical experiments, clinical trials, and/or real-world clinical studies. This work will advance understanding of disease pathobiology, clinical heterogeneity, and generate insights that advance personalized healthcare by identifying “the right drug for the right patient at the right dose”. The candidate will also work with, and be co-mentored by, exceptional scientists in Human Genetics and Computational Sciences within Genentech Research and Early Development (gRED).

Requirements

  • You have a PhD in Bioinformatics, Computational Biology, Neuroscience, Immunology or related field with deep basic or translational research experience.
  • You have a strong scientific publication record.
  • You enjoy using creative and novel informatic approaches and datasets to bring new insights to biological problems, and then working closely with biomarker scientists to develop those ideas experimentally.
  • You have experience working with high dimensional data (e.g. single cell sequencing, spatial methods, genomic data, proteomics data, etc.).
  • You have demonstrated competence in languages such as R or Python for bioinformatics analyses.
  • You are intensely curious about the biology of disease and eager to contribute to scientific efforts focused on understanding the molecular mechanisms underlying disease etiology.
  • You are able to present complex results, both verbally and in writing, to computational and non-computational audiences.
  • You can work successfully as the bioinformatics lead in cross-functional teams that contribute to drug and biomarker development.
  • You are willing to collaborate across time zones including with our Swiss site.

Education requirements

PhD

Area of Responsibilities

Research & Development
Science

Responsibilities

  • The successful candidate will join our dynamic team and lead computational analysis in one or more projects with high-dimensional data to facilitate translational discovery in multiple sclerosis (MS). The candidate will support our translational pathway discovery strategy, leading data analysis for internal studies and external collaborations relating to understanding disease heterogeneity through genetics, transcriptomics, imaging, and other biomarker data across human data sets. Success in these responsibilities requires a thorough understanding of neuroimmunology biology, creativity and attention to detail, and experience in integrating biomarkers into clinical trials.
  • Candidates with experience in single-cell RNA sequencing, single-cell ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful candidate will work with interdisciplinary teams including discovery research, biomarker, clinical, biostatistics, and bioinformatics scientists, and will carry out data analysis and integration across various domains. Regular publication of scientific or methodological papers is an important component of this position. Success critically depends on an ability to effectively present complex techniques and results in a clear and concise manner to a diverse audience of scientists.

Details

Work type

Full time

Work mode

office

Location

San Francisco