Staff/Senior Staff, Bioinformatics Data Scientist

Rezo Therapeutics

$180K — $260K *
Pharmaceuticals & Biotech
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD in computational biology, bioinformatics, systems biology, cancer biology, or related field with 8+ years of industry experience.
  • Deep experience with at least three -omic datasets: transcriptomics, proteomics, interactomics, and functional genomics.
  • Strong python engineering skills and familiarity with software engineering best practices.
  • Proven ability to translate raw biological data into mechanistic or translational conclusions.
  • Working fluency in cancer biology concepts like oncogenic signaling and biomarker classification.
  • Ability to work independently while collaborating effectively in teams.
  • Excellent organization, communication, and interpersonal skills.

Responsibilities

  • Design and implement analyses of Rezo's protein network datasets, refining and developing methods as necessary.
  • Integrate multi-omics data to provide insights into programs from mechanisms of action to patient biomarker strategies.
  • Build internal tools and interfaces for data exploration and decision-making across the company.
  • Utilize machine learning methods, including interpreting results and curating data for analysis.
  • Clearly communicate analytical results through writing, visuals, and presentations for program decision-making.

Benefits

  • Medical (HMO or PPO), dental, and vision insurance
  • Discretionary time off policy
  • Company holidays, including summer and winter shutdown
  • 401(k) retirement savings program
  • Commuter / Mass Transit Benefit Program
  • Healthcare Flexible Spending Account (FSA)
  • Dependent care Flexible Spending Account (FSA)
  • Parental leave
  • Competitive compensation
  • Flexible work schedule
Full Job Description
The Opportunity
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 analyzing 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.

Key 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.


Qualifications:

  • 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.


Compensation at Rezo
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 eligible for the benefits detailed below.

Benefits at Rezo

Medical (HMO or PPO), dental, and vision insurance

Discretionary time off policy

Company holidays (including summer and winter shutdown)

401(k) retirement savings program

Commuter / Mass Transit Benefit Program

Healthcare Flexible Spending Account (FSA)

Dependent care Flexible Spending Account (FSA)

Parental leave

Competitive compensation

Flexible work schedule

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