Postdoctoral Fellow - Immunology/Computational Biology, Rock and Müller Labs

Genentech • South San Francisco, CA

129d • $98,000 - $104,500

About The Position

We seek a highly motivated candidate for a co-mentored postdoctoral fellowship position in the laboratories of Dr. Jason Rock in the Department of Ophthalmology and Immunology and Dr. Sören Müller in the Computational Sciences Center of Excellence at Genentech. The Rock lab combines in vitro and in vivo models with cutting edge molecular techniques to define the pathobiology of respiratory diseases and develop novel therapeutic strategies. The Müller Lab collaboratively designs high-throughput molecular profiling experiments and applies advanced computational methods to derive actionable biological insights. This is a hybrid computational and wet lab based postdoctoral position. The Genentech scientific community and postdoctoral program provide access to generous state-of-the-art resources and training opportunities.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, or a related field; or a Ph.D. in (Molecular) Biology or Immunology with in-depth experience in high-throughput data analysis evidenced by publications.
• Experience with single-cell and multi-omic data analysis.
• Experience with in vivo or in vitro models, preferentially relevant to lung biology.
• Excellent communication skills, with the ability to present complex data to varied audiences.
• A collaborative mindset and the ability to work effectively in an interdisciplinary team environment.

Nice To Haves

• Experience with spatial assays and/or clinical data.

Responsibilities

• Investigate the transcriptional and epigenetic regulation of fibroblast responses to inflammatory stimuli in the context of chronic lung diseases.
• Design and analyze multi-omic experiments, with a primary focus on understanding COPD disease biology from preclinical models and patient samples.
• Identify and integrate relevant dataset from various internal and external resources.
• Understand and apply best-in-class algorithms to address biological and clinical questions.
• Collaborate effectively within an interdisciplinary team of quantitative, experimental, and clinical scientists.
• Present complex results clearly and concisely to diverse audiences.

Benefits

• Relocation benefits are available for this job posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree