Director – Computational Biology & Data Science
Posted on 9/18/2023
Chan Zuckerberg Biohub

51-200 employees

Nonprofit research institutes for disease prevention and cure
Company Overview
The Chan Zuckerberg Biohub Network stands out as a collaborative hub of nonprofit research institutes, uniting physicians, scientists, and engineers to tackle grand scientific challenges with a long-term vision. Their unique approach, focusing on understanding cellular interactions and developing precise, molecular-level measurements of biological processes, positions them at the forefront of disease prevention and management. Furthermore, their partnerships with leading universities and commitment to supporting early-stage, high-risk research underscore their industry leadership and dedication to fostering a culture of scientific exploration and discovery.
Data & Analytics

Company Stage


Total Funding





San Francisco, California

Growth & Insights

6 month growth


1 year growth


2 year growth

San Francisco, CA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Data & Analytics
  • PhD preferred and 8+ years of relevant experience, OR MS/MA and 12+ years of relevant experience
  • Strong track record of scientific research contributions in data science applied to biomedical research and biotechnology
  • Extensive experience with and the processing and analysis of NGS data (Illumina systems), especially genomic and single-cell gene expression data
  • A proven track record of strong team leadership along with skills in critical thinking, analytical thinking, communication, teamwork, project management, portfolio management, and influencing skills
  • Possess strong abilities to manage, mentor, develop and improve people, processes and technology
  • Knowledge of how to analyze and manage large data sets as well as strategies for visualizing and communicating results to inform research and strategic decisions
  • In-depth knowledge and experience in process management, change control, collaboration, knowledge management, project delivery, analytics and metrics
  • Resources to disrupt and innovate at the frontiers of our knowledge of biology and disease
  • A collegial and collaborative environment consisting of diverse expertise
  • Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease, and Quantitative Cell Science
  • Access to collaborators, resources and facilities at our three partner universities (Stanford, UC Berkeley, and UC San Francisco) and at partner organizations in the Bay Area and beyond
  • Competitive compensation and benefits commensurate with the experience
  • Lead the Computational Biology & Data Science platform, a research team composed of bioinformaticians, computer scientists, mathematicians and software developers
  • Contribute to primary research, tool building, problem solving, and academic output, including contributions to peer reviewed manuscripts, solutions to complex problems and scientific questions
  • Create and implement solutions to complex problems/scientific questions on large scale data sets, including using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging
  • Collaborate and coordinate with the other technology platforms (Bioengineering, Computational Microscopy, Genomics, & Mass Spectrometry) to analyze and integrate large scale data sets from diverse sources
  • Collaborate and coordinate with Group Leaders and their teams on projects, particularly enterprise-wide projects to identify, capture, store, and integrate data streams for analysis and hypothesis testing/generation
  • Collaborate with IT to guide scientific compute and data storage infrastructure priorities, strategy, data governance, security, and access policies
  • Collaborate with the Software Engineering Team to manage and maintain existing, pipelines, data portals, reporting platforms, and data visualization tools
  • Collaborate with software development and engineering teams at the Biohub and at the Chan Zuckerberg Initiative (CZI) to maximize access and impact of Biohub datasets
Desired Qualifications
  • Metagenomics, virology, microbiology
  • Spatial transcriptomics
  • Familiarity with image analysis and machine learning
  • Large scale sequence alignment algorithms
  • Proteomic and Metabolomic data