Postdoctoral Fellow - Translational Medicine, Jia Lab

Genentech

3mo ago

Applications are closed

Job
Full-time
Entry Level
Research & Development
Science
San Francisco

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.

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.

Genentech

Science & Healthcare

Industry

10,001+

Employees

1976

Founded Year

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