The Team
The mission of the CZI Science Initiative is to back the science and technology that will potentially enable us to cure, prevent, or manage all diseases by the end of the century. We bolster interdisciplinary teams comprising physicians, biologists, computational scientists, and engineers to broaden our knowledge of the human body and disease — the very science behind medicine. CZI encourages collaboration between scientists and engineers, develops tools and technologies and helps garner support for basic scientific research. Our current focus centers around understanding the mysteries of the cell, the rudimentary building block of life. To that end, our strategy in the Science Technology group is to digitally model cell function through research, advanced development, collaboration, and funding.
Some Science Initiative efforts include:
Building software such as:
1. CZ cellxgene - a user-friendly corpus of single-cell transcriptomics data.
2. CZ ID - a metagenomics platform providing insights into infectious diseases.
Funding:
1. Single cell biology and the implementation of technologies that enable multi-omics investigation at the level of cells.
2. Imaging and creating tools adept at observing biological processes across spatial scales at the level of tissues, cells, and proteins.
Implementing science through:
1. The CZ Biohub empowering scientists to undertake their riskiest, most novel ideas.
2. The CZ Imaging Institute developing technologies to image the molecular architecture of the cell with atomic precision.
What You'll Do
As a Staff Research Scientist on the AI/ML team, you will create and implement state-of-the-art methods in artificial intelligence and machine learning to resolve significant issues in the biomedical sciences aligned with CZI’s mission. You will be part of a team to utilize CZI’s large open-source biological datasets to generate models that transform our understanding of cells.
You will get to collaborate closely with teams of scientists, computational biologists, engineers within CZI and cooperate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. Scientific focus areas may include single cell biology, imaging, genomics, and proteomics.
You will:
1. Create, deploy, and maintain innovative machine learning models, systems, and software tools that enable the analysis and interpretation of intricate biology data sets.
2. Address significant problems in biomedical sciences through the application of state-of-the-art methods in artificial intelligence and machine learning.
3. Implement solutions addressing complex problems/scientific queries on a large scale data sets, particularly using machine learning approaches, predictive models, and statistical analysis, to enhance understanding of cell structures, systems, and interactions.
What You'll Bring
You should:
1. Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners immersed in leading-edge cell biology data-driven research.
2. Have a PhD or Masters in computer science (focus on machine learning & data analytics), computational biology, or a related field or equivalent industry experience and at least 6-8 years of experience in developing and applying machine learning methods.
3. Have demonstrated experience in building and training AI/ML models, ideally but not exclusively to address issues in biology, and in developing deep learning methods.
4. Be capable of working independently as well as part of a team and possess excellent communication and interpersonal skills.
5. Have a proven track record of relevant research publications, preprints, or software packages.
The base pay range for this role in Redwood City, CA, is $270,000.00-$405,000.00. New hires are typically brought on board at the lower end of the range, allowing for employee growth over time. The actual placement within the range relies on job-related skills and experience, as evaluated during the interview process. Pay ranges outside of Redwood City are adjusted based on the cost of labor in each respective geographical market. Your recruiter can provide more details about the specific pay range for your location during the hiring process.