Degree in Artificial intelligence- AI
Aartificial intelligence, Bioinformatics, Data Analysis, Data science techniques, Effective communication skills, Machine learning techniques, RNA-seq Data processing
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
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 CZ Biohub SF brings together scientists and engineers striving to understand the inner workings of complex cellular systems. We build large, open datasets that map cellular architecture across scales, including atlases that define human sub-cellular organization (https://opencell.czbiohub.org/), mammalian cell types (https://tabula-sapiens-portal.ds.czbiohub.org/), or cellular dynamics during vertebrate development (https://zebrahub.ds.czbiohub.org/). Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science.
The Data Science platform at CZ Biohub SF (https://www.czbiohub.org/data-science/) is passionate about turning complex multi-modal biological data into actionable insights. Big-data biology requires innovations in data analysis and visualization to catalyze interpretation and discovery. We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology) to perform integrated analysis with multi-omic datasets to derive insights about cellular biology, pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning), and create web-based tools to enable data exploration by collaborators. The candidate will work in a team-science environment collaborating closely with experts in genomics and cell biology as well as software engineers and other data scientists in the team.
This is a great opportunity for candidates with a passion for both the quantitative analysis of big datasets and the development of compelling collaboration tools.
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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
The Chan Zuckerberg Biohub is a one-of-a-kind 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 itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to make breakthroughs in medicine and develop new technologies, frequently in collaboration
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
4-6 year