Staff/Senior Staff, Bioinformatics Data Scientist

Rezo Therapeutics•San Francisco, CA

8d•$180,000 - $260,000•Hybrid

About The Position

Rezo Therapeutics is a biopharma company aiming to improve drug development success rates through an integrated network biology platform. They combine genetics, proteomics, structural biology, and AI to gain biological insights and develop therapies. Located in San Francisco's Mission Bay, Rezo fosters a collaborative, respectful, and diverse workplace. The company is seeking a Staff / Senior Staff level Bioinformatics / Data Scientist to join their Computational Biology and AI Team. This role involves collaborating with an interdisciplinary group to address biological challenges and develop therapies. The position requires deep expertise in analyzing biological data, strong statistical rigor, and the ability to communicate effectively with both biological and computational audiences. The work will directly influence therapeutic program decisions, offering an opportunity to make a significant impact in a fast-paced environment.

Requirements

PhD in computational biology, bioinformatics, systems biology, cancer biology or related field with 8+ years of industry experience.
Deep experience analyzing at least three of the following -omic datasets: transcriptomics, proteomics and their variants (e.g. phosphoproteomics, etc.), AP-MS / interactomic data and functional genomics (e.g. DepMap, CRISPR screens).
Strong python engineering skills. Comfortable working in a shared codebase and using software engineering best practices, including code reviews.
Clear demonstrations of the ability to take a biological question from raw data to a concrete mechanistic or translational conclusion.
Working fluency in cancer biology, including oncogenic signaling, tumor suppressors, cell cycle and the use of biomarker classification to distinguish sensitive versus resistant populations.
Proven ability to work independently while fostering collaboration in a team environment.
Excellent organizational, communication, and interpersonal skills.

Responsibilities

Design and implement analyses across Rezo’s protein network datasets, refining existing approaches and developing new methods as needed.
Integrate multi-omics data to build mechanistic and translational understanding of our programs, spanning from mechanism of action to patient biomarker selection strategies.
Build internal tools and interfaces that enable the rest of the company to explore the data and make decisions based on conducted analyses.
Familiar with ML methods, including interpreting results and experience curating data for ML methods.
Communicate results clearly in writing, figures and presentations so that the analyses can be translated into program decisions.