Associate Bioinformatics Data Scientist/Computational Biologist (Single-Cell Multi-Omics)

Palo Alto, CA, United States

The Chan Zuckerberg Biohub San Francisco (CZ Biohub SF) (https://www.czbiohub.org/sf/) is an independent nonprofit research institute that brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine. CZ Biohub SF itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.

Our Vision

We pursue large scientific challenges that cannot be pursued in conventional environments

We enable individual investigators to pursue their riskiest and most innovative ideas

The technologies developed at CZ Biohub San Francisco facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence. We are committed to cultivating an inclusive organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

The Data Science platform at CZ Biohub SF (https://www.czbiohub.org/data-science/) is seeking an Associate Bioinformatics Scientist/Computational Biologist to join a fantastic team of computational biologists and data scientists. We develop computational methods, pipelines, and software that enable Biohub’s research across quantitative cell biology and infectious disease. In this position, you will closely collaborate with biologists and engineers from Biohub research groups such as the Royer group (https://www.czbiohub.org/royer/) and the Balla group (https://www.czbiohub.org/balla/).

Potential projects include:

Developing workflows to process and analyze single-cell multi-omics datasets (both in-house and publicly available datasets) to gain a holistic view of transcriptional regulation during zebrafish development

Participating in data integration across multiple modalities (single-cell genomics, microscopy, etc.) to create a resource for the broader scientific community. Prime examples are our previous work, such as Zebrahub (https://zebrahub.ds.czbiohub.org) and OpenCell (https://opencell.czbiohub.org).

Contributing to interactive web portals for in silico genetic perturbations on developing zebrafish at whole organism scale - Zebrahub v2.0 (https://zebrahub.ds.czbiohub.org).

This is an excellent opportunity to do both research and engineering at the intersection of bioinformatics, infectious diseases, and cell biology.

You will

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

You have

Essential –

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

A collaborative, team-focused mindset coupled with outstanding communication skills, and the ability to work in an agile environment

Nice to have -

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

The Chan Zuckerberg Biohub requires all employees, contractors, and interns, regardless of work location or type of role, to provide proof of full COVID-19 vaccination, including a booster vaccine dose, if eligible, by their start date. Those who are unable to get vaccinated or obtain a booster dose because of a disability, or who choose not to be vaccinated due to a sincerely held religious belief, practice, or observance must have an approved exception prior to their start date.

Compensation

$72,000 - $99,000

What We Provide

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, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders

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 experience

Benefits

We offer a robust benefits program that enables the important work Biohubbers do everyday. Our benefits include healthcare coverage, life and disability insurance, commuter subsidies, family planning services with fertility care, childcare stipend, 401(k) match, flexible time off and a generous parental leave policy. In addition, we honor our commitment to career development and our value of scholarly excellence through regular onsite opportunities to learn from the world's leading scientists.

The CZ Biohub Network is an equal opportunity employer committed to diversity of thought, ideas and perspectives. We are committed to cultivating an inclusive organization where all Biohubbers feel inspired and know their work makes an important contribution. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

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