Senior , Bioinformatics Data Scientist

About Rezo Therapeutics

Rezo is a different kind of biopharma company. Our mission is to dramatically increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform that will redefine our understanding of human disease and ability to treat it.

We are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.

Located in San Francisco’s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.

We recognize that realizing our mission depends as much on our people as it does on our science and are building a workplace that fosters collaboration, respect, and diversity where contributing to your team’s success is valued as highly as individual achievements. If you’re passionate about team science and breaking down barriers to progress in drug development, please consider joining us!

We are hiring at the Staff / Senior Staff level for a Bioinformatics / Data Scientist to join Rezo’s Computational Biology and AI Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics and structural biology to tackle challenging biological questions and develop transformative therapies. You will combine your deep expertise and statistical rigor to analyze biological data with the ability to communicate clearly and effectively to biological and computational audiences.

The impact of your work will extend beyond building tools and performing analyses to directly impact therapeutic program decisions. Joining Rezo at this stage provides an opportunity to make a meaningful impact in a fast-paced, collaborative environment.

• 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.

• 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. Dep Map, 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.

The expected starting salary range for this position based in San Francisco, California for Staff/Senior Staff level is $180,000-$260,000. Actual starting salary will be determined based on multiple job-related factors including candidate’s skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity. This role is eligible for participation in our Annual Discretionary Bonus Plan (based on individual and company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

This position is also…