Cz GEN Epi
Staff Research Scientist, AI x Imaging, Science
Cz GEN Epi, Redwood City, California, United States, 94061
The Team
CZI
supports the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. We
build
open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We
fund
scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to
do
research that can’t be done in conventional environments. Each aspect is essential to our approach to building for the long term. CZI’s
work in science
includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The AI/ML team is funding and building one of the
largest computing systems
dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century. The Opportunity
As a Staff Research Scientist on the AI/ML team you will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. Bioimaging and microscopy methods provide measurements of the inner workings of cellular systems. You will work as part of a team to leverage these large-scale multi-modal biological datasets to create models that transform our understanding of cells. You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate 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 could include imaging, proteomics, single-cell biology and beyond. You will be dedicated to Open Science and deeply engaged with the global scientific communities across AI and computational biology. What You'll Do
Develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in biological imaging such as representation learning, multi-object tracking, multimodal data integration or time series modeling. Work with a diverse range of biological data types, including multi-omics data, cell/tissue images, time lapse microscopy, cryo-ET tomography and more. Implement scalable solutions with respect to complex problems/scientific questions on large-scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, to advance understanding of cell structures, systems, and interactions. Work as part of a team to leverage large open-source biological datasets to create models that transform our understanding of cells. Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems. Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences. What You'll Bring
Have a PhD or Masters in computer science (focus on machine learning and/or computer vision), computational biology, or a related field or equivalent industry experience and at least 5 years of experience developing and applying machine learning methods. Experience in representation learning techniques, including expertise in unsupervised and self-supervised learning methods, dimensionality reduction, and feature extraction and the ability to create meaningful and high-quality data representations from image data that facilitate downstream tasks. Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling. Have a proven track record of research and innovation in machine learning, computer vision or computational biology, demonstrated through publications, conference presentations, or project outcomes with an ability to stay updated with the latest advancements in the field. Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners in leading-edge cell biology data-driven research. Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills. Compensation
The Redwood City, CA base pay range for this role is $214,000.00 - $321,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process. Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more
! Commitment to Diversity
We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued.
Learn
about our diversity, equity, and inclusion efforts. If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our
work modes
,
benefits
, and
interview process
at
www.chanzuckerberg.com/careers
. #LI-Hybrid
#J-18808-Ljbffr
CZI
supports the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. We
build
open source software tools and leverage artificial intelligence to accelerate the pace of biomedicine. We
fund
scientific research worldwide to advance the frontiers of knowledge. And we launched a family of institutes to
do
research that can’t be done in conventional environments. Each aspect is essential to our approach to building for the long term. CZI’s
work in science
includes grantmaking programs, open-source software development, and close collaboration with its partner institutes at the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The AI/ML team is funding and building one of the
largest computing systems
dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century. The Opportunity
As a Staff Research Scientist on the AI/ML team you will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. Bioimaging and microscopy methods provide measurements of the inner workings of cellular systems. You will work as part of a team to leverage these large-scale multi-modal biological datasets to create models that transform our understanding of cells. You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate 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 could include imaging, proteomics, single-cell biology and beyond. You will be dedicated to Open Science and deeply engaged with the global scientific communities across AI and computational biology. What You'll Do
Develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in biological imaging such as representation learning, multi-object tracking, multimodal data integration or time series modeling. Work with a diverse range of biological data types, including multi-omics data, cell/tissue images, time lapse microscopy, cryo-ET tomography and more. Implement scalable solutions with respect to complex problems/scientific questions on large-scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, to advance understanding of cell structures, systems, and interactions. Work as part of a team to leverage large open-source biological datasets to create models that transform our understanding of cells. Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems. Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences. What You'll Bring
Have a PhD or Masters in computer science (focus on machine learning and/or computer vision), computational biology, or a related field or equivalent industry experience and at least 5 years of experience developing and applying machine learning methods. Experience in representation learning techniques, including expertise in unsupervised and self-supervised learning methods, dimensionality reduction, and feature extraction and the ability to create meaningful and high-quality data representations from image data that facilitate downstream tasks. Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling. Have a proven track record of research and innovation in machine learning, computer vision or computational biology, demonstrated through publications, conference presentations, or project outcomes with an ability to stay updated with the latest advancements in the field. Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners in leading-edge cell biology data-driven research. Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills. Compensation
The Redwood City, CA base pay range for this role is $214,000.00 - $321,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process. Benefits for the Whole You
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more
! Commitment to Diversity
We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued.
Learn
about our diversity, equity, and inclusion efforts. If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our
work modes
,
benefits
, and
interview process
at
www.chanzuckerberg.com/careers
. #LI-Hybrid
#J-18808-Ljbffr