Full-Time

Associate Bioinformatics Data Scientist/Computational Biologist

Single-Cell Multi-Omics

Posted on 2/7/2024

Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

201-500 employees

Quantitative cell science and infectious disease research

Data & Analytics
Hardware
Education

Compensation Overview

$72,000 - $99,000Annually

+ 401(k) match + Generous parental leave policy

Junior, Mid

San Francisco, CA, USA

Required Skills
Python
Data Science
R
Git
Data Structures & Algorithms
Linux/Unix
Data Analysis
Requirements
  • B.S. or M.S. degree in Data Science, Computational Biology, Bioinformatics, or a related discipline
  • A minimum of 2 years of experience with scientific programming languages and data science workflows (e.g. Python, R, Git, UNIX command line, etc.)
  • Familiarity with professional software development best practices (documentation, version control, etc.)
  • Proven ability to implement exploratory data analysis and statistical inference in the context of scientific research
  • Experience with single-cell RNA-seq data analysis and/or other multi-dimensional omic data modalities
  • Familiarity with the concepts of molecular biology, cell biology, genomics, and biostatistics
  • Experience with high-performance computing (HPC) clusters and job schedulers such as Slurm
  • Enthusiasm for systems biology and development of open-source software
  • Experience with using machine learning algorithms to extract insights from complex datasets
  • Research experience in academic laboratories is highly preferred
Responsibilities
  • Contribute to scientific discovery via analysis of single-cell multi-omics datasets (transcriptomic, epigenomic, and/or proteomic)
  • Participate in developing bioinformatics tools and web portals
  • Optimize and execute data processing pipelines in an HPC environment
  • Partner with biologists to conduct data mining and exploratory data analysis
  • Author publications and disseminate research discoveries to the scientific community

Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

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At the Chan Zuckerberg Biohub Network, professionals can work at the cutting edge of quantitative cell science and infectious disease research. The organization drives important advances using tools like cell atlases and metagenomic sequencing to map and understand cellular architecture and function in human tissues. Employees are part of a long-term mission to address grand scientific challenges, ensuring impactful work and steady development in bioengineering and molecular epidemiology.

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2016

Growth & Insights
Headcount

6 month growth

15%

1 year growth

21%

2 year growth

41%
INACTIVE