University of California-Berkeley
Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics -
University of California-Berkeley, Berkeley, California, United States, 94709
Overview
Position title:
Project Scientist Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the current salary scale for this position: UC Berkeley table. A reasonable estimate for this position is $180,000 - $225,000. Percent time:
100% Anticipated start:
Fall/Winter 2024-2025 Position duration:
One year with the possibility of extension based on performance and availability of funding. Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. The ABC aspires to be a world-leading multidisciplinary imaging center that drives biological discoveries through advances in imaging technology and education. Members have access to leading imaging and computing hardware and collaborate with experts across AI, Data Science, Mathematics, and related fields. The Assistant/Associate/Full Project Scientists will be part of a team driving biological discoveries through applications of imaging technology. They will work with a dedicated team to develop data analytics software for terabyte- to petabyte-scale imaging projects, develop and refine machine learning applications, manage projects, and provide progress reports to PIs and collaborators. Successful candidates will work with computational scientists and biologists in experimental design to tackle quantitative biological questions. The work will be conducted primarily at the Barker Hall facility with occasional travel. Key Responsibilities Make significant and creative contributions to the development of imaging and data processing tools for datasets generated on multicellular tissues, organoids, and transparent embryos. Design, build, and maintain new software packages for efficient data processing. Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on projects to test, learn, and implement use cases. General organization and management of software documentation. Bring cross-disciplinary expertise to solve problems at the intersection of life science, computer vision, and AI methods. Work with petabyte-scale light sheet datasets (4D or 5D: x, y, z, t, chemistry); identify and implement scalable solutions. Develop machine learning and computer vision approaches to pre-process data and generate ground-truth benchmarks. Contribute to dissemination via open source code repositories, demonstrations, publications, and presentations. These positions include full benefits. Lab : https://abc.berkeley.edu/ Contract : https://uaw5810.org/ar-contract-2022/ Qualifications
Basic qualifications
(required at time of application) PhD (or equivalent international degree) Additional qualifications
(required at time of start) For the Assistant Project Scientist rank: 4+ years of postdoctoral research experience For the Associate Project Scientist rank: 8+ years of post PhD research experience For the full Project Scientist rank: 14+ years of post PhD research experience Preferred qualifications PhD or equivalent in Computation/Data, Computer Sciences, Bioinformatics or related field Demonstrated productivity and publications Strong biological background and understanding of molecular biology Understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras Experience working in a research team and managing collaborations Experience handling large imaging datasets (>100TB to petabyte scale) Programming in C++, LabVIEW, MATLAB, Python Experience with databases, data infrastructure, data governance Experience with HPC using SLURM or LSF Experience with PyTorch, JAX, or TensorFlow Experience with NVIDIA CUDA and related OpenMP programming Experience with cloud services (AWS, GCP, Azure, etc.) Experience with state-of-the-art AI/ML architectures (vision transformers, diffusion models) Experience mentoring students/technicians and giving talks Ability to communicate effectively and collaborate with diverse researchers Innovative mindset with sound judgment to assess risk Application Requirements
Document requirements Curriculum Vitae – Your most recently updated C.V. Cover Letter Statement of Research – Summary of major research accomplishments (~250 words) and relevance to key responsibilities Project Portfolio – Summary portfolio of data and/or AI projects Statement on Contributions to Diversity, Equity, Inclusion, and Belonging – Information about contributions to DEIB and future plans Reference requirements 3-5 required (contact information only) Apply link:
https://aprecruit.berkeley.edu/JPF04705 Help contact:
harrisonmd@berkeley.edu About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, and adheres to UC policies on nondiscrimination and affirmative action. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Job location
Berkeley, CA
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Position title:
Project Scientist Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the current salary scale for this position: UC Berkeley table. A reasonable estimate for this position is $180,000 - $225,000. Percent time:
100% Anticipated start:
Fall/Winter 2024-2025 Position duration:
One year with the possibility of extension based on performance and availability of funding. Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. The ABC aspires to be a world-leading multidisciplinary imaging center that drives biological discoveries through advances in imaging technology and education. Members have access to leading imaging and computing hardware and collaborate with experts across AI, Data Science, Mathematics, and related fields. The Assistant/Associate/Full Project Scientists will be part of a team driving biological discoveries through applications of imaging technology. They will work with a dedicated team to develop data analytics software for terabyte- to petabyte-scale imaging projects, develop and refine machine learning applications, manage projects, and provide progress reports to PIs and collaborators. Successful candidates will work with computational scientists and biologists in experimental design to tackle quantitative biological questions. The work will be conducted primarily at the Barker Hall facility with occasional travel. Key Responsibilities Make significant and creative contributions to the development of imaging and data processing tools for datasets generated on multicellular tissues, organoids, and transparent embryos. Design, build, and maintain new software packages for efficient data processing. Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on projects to test, learn, and implement use cases. General organization and management of software documentation. Bring cross-disciplinary expertise to solve problems at the intersection of life science, computer vision, and AI methods. Work with petabyte-scale light sheet datasets (4D or 5D: x, y, z, t, chemistry); identify and implement scalable solutions. Develop machine learning and computer vision approaches to pre-process data and generate ground-truth benchmarks. Contribute to dissemination via open source code repositories, demonstrations, publications, and presentations. These positions include full benefits. Lab : https://abc.berkeley.edu/ Contract : https://uaw5810.org/ar-contract-2022/ Qualifications
Basic qualifications
(required at time of application) PhD (or equivalent international degree) Additional qualifications
(required at time of start) For the Assistant Project Scientist rank: 4+ years of postdoctoral research experience For the Associate Project Scientist rank: 8+ years of post PhD research experience For the full Project Scientist rank: 14+ years of post PhD research experience Preferred qualifications PhD or equivalent in Computation/Data, Computer Sciences, Bioinformatics or related field Demonstrated productivity and publications Strong biological background and understanding of molecular biology Understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras Experience working in a research team and managing collaborations Experience handling large imaging datasets (>100TB to petabyte scale) Programming in C++, LabVIEW, MATLAB, Python Experience with databases, data infrastructure, data governance Experience with HPC using SLURM or LSF Experience with PyTorch, JAX, or TensorFlow Experience with NVIDIA CUDA and related OpenMP programming Experience with cloud services (AWS, GCP, Azure, etc.) Experience with state-of-the-art AI/ML architectures (vision transformers, diffusion models) Experience mentoring students/technicians and giving talks Ability to communicate effectively and collaborate with diverse researchers Innovative mindset with sound judgment to assess risk Application Requirements
Document requirements Curriculum Vitae – Your most recently updated C.V. Cover Letter Statement of Research – Summary of major research accomplishments (~250 words) and relevance to key responsibilities Project Portfolio – Summary portfolio of data and/or AI projects Statement on Contributions to Diversity, Equity, Inclusion, and Belonging – Information about contributions to DEIB and future plans Reference requirements 3-5 required (contact information only) Apply link:
https://aprecruit.berkeley.edu/JPF04705 Help contact:
harrisonmd@berkeley.edu About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, and adheres to UC policies on nondiscrimination and affirmative action. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Job location
Berkeley, CA
#J-18808-Ljbffr