Inside Higher Ed
Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics
Inside Higher Ed, Berkeley, California, United States, 94709
Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics
Position overview Position title:
Project Scientist Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. 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 funding. Open date:
November 13, 2024 Next review date:
Wednesday, Oct 22, 2025 at 11:59pm (Pacific Time) Final date:
Wednesday, Nov 12, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will be considered if the position has not been filled. 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 candidates will be appointed at the rank commensurate with prior experience. The position reports to Professor Gokul Upadhyayula, with Professor Eric Betzig as an additional academic mentor. The project scientists will contribute in the area of machine learning & data analytics. The ABC aims to be a world-leading imaging center, driving biological discoveries through imaging technology and education, and handling terabyte to petabyte-scale data processing, visualization, and dissemination. Members have access to cutting-edge imaging and computing hardware and collaborate with experts across disciplines, including Artificial Intelligence, Data Science, Mathematics, and more. The Project Scientists will work as part of a team to develop data analytics software for terabyte- to petabyte-scale imaging projects. They will develop and refine machine learning applications, manage projects, and provide progress reports to PIs and collaborators. They will work with computational scientists and biologists in experimental design to tackle biological questions in a quantitative manner. The work will be primarily conducted at Barker Hall, with occasional travel. Key Responsibilities Make significant and creative contributions to the development of imaging and data processing tools for datasets from multicellular tissues, organoids, and transparent embryos. Design, build, and maintain 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 for general and specific use cases. Organize and maintain software documentation. Apply cross-disciplinary expertise to problems at the intersection of life science, computer vision, and state-of-the-art AI methods. Work with petabyte-scale light sheet datasets (4D/5D: x,y,z,t,chemistry); identify and implement scalable solutions for large-scale data analysis. Develop machine learning approaches and computer vision tools to preprocess datasets and annotations to generate ground-truth benchmarks. Contribute to dissemination via open-source code repositories, demonstrations, and publications. Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) Additional qualifications (required at start) Assistant Project Scientist: 4+ years of postdoctoral research experience Associate Project Scientist: 8+ years of post-PhD research experience Full Project Scientist: 14+ years of post-PhD research experience Preferred Qualifications PhD or equivalent in Computation/Data, Computer Science, Bioinformatics, or related field Strong record of productivity and publications Solid background in molecular biology Understanding of optical microscopy, including light sheet microscopy and adaptive optics Experience working in a research team and managing collaborations Experience handling large imaging datasets (>100TB to petabyte scale) Programming skills: 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 OpenMP Experience with cloud services (AWS, GCP, Azure) Experience with modern AI/ML architectures (e.g., ViT, diffusion models) Experience mentoring students/technicians and presenting work Strong communication and collaboration skills; ability to work with diverse researchers Innovative mindset with sound judgment to evaluate risks Application Requirements Curriculum Vitae Cover Letter Statement of Research (summary of major accomplishments and relevance to responsibilities) Project Portfolio (data/AI projects via publications or GitHub) Statement on Contributions to Diversity, Equity, Inclusion, and Belonging 3-5 references (contact information) 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. The University is an Equal Opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. See UC policies for full details. Job location:
Berkeley, CA
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Position overview Position title:
Project Scientist Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. 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 funding. Open date:
November 13, 2024 Next review date:
Wednesday, Oct 22, 2025 at 11:59pm (Pacific Time) Final date:
Wednesday, Nov 12, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will be considered if the position has not been filled. 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 candidates will be appointed at the rank commensurate with prior experience. The position reports to Professor Gokul Upadhyayula, with Professor Eric Betzig as an additional academic mentor. The project scientists will contribute in the area of machine learning & data analytics. The ABC aims to be a world-leading imaging center, driving biological discoveries through imaging technology and education, and handling terabyte to petabyte-scale data processing, visualization, and dissemination. Members have access to cutting-edge imaging and computing hardware and collaborate with experts across disciplines, including Artificial Intelligence, Data Science, Mathematics, and more. The Project Scientists will work as part of a team to develop data analytics software for terabyte- to petabyte-scale imaging projects. They will develop and refine machine learning applications, manage projects, and provide progress reports to PIs and collaborators. They will work with computational scientists and biologists in experimental design to tackle biological questions in a quantitative manner. The work will be primarily conducted at Barker Hall, with occasional travel. Key Responsibilities Make significant and creative contributions to the development of imaging and data processing tools for datasets from multicellular tissues, organoids, and transparent embryos. Design, build, and maintain 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 for general and specific use cases. Organize and maintain software documentation. Apply cross-disciplinary expertise to problems at the intersection of life science, computer vision, and state-of-the-art AI methods. Work with petabyte-scale light sheet datasets (4D/5D: x,y,z,t,chemistry); identify and implement scalable solutions for large-scale data analysis. Develop machine learning approaches and computer vision tools to preprocess datasets and annotations to generate ground-truth benchmarks. Contribute to dissemination via open-source code repositories, demonstrations, and publications. Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) Additional qualifications (required at start) Assistant Project Scientist: 4+ years of postdoctoral research experience Associate Project Scientist: 8+ years of post-PhD research experience Full Project Scientist: 14+ years of post-PhD research experience Preferred Qualifications PhD or equivalent in Computation/Data, Computer Science, Bioinformatics, or related field Strong record of productivity and publications Solid background in molecular biology Understanding of optical microscopy, including light sheet microscopy and adaptive optics Experience working in a research team and managing collaborations Experience handling large imaging datasets (>100TB to petabyte scale) Programming skills: 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 OpenMP Experience with cloud services (AWS, GCP, Azure) Experience with modern AI/ML architectures (e.g., ViT, diffusion models) Experience mentoring students/technicians and presenting work Strong communication and collaboration skills; ability to work with diverse researchers Innovative mindset with sound judgment to evaluate risks Application Requirements Curriculum Vitae Cover Letter Statement of Research (summary of major accomplishments and relevance to responsibilities) Project Portfolio (data/AI projects via publications or GitHub) Statement on Contributions to Diversity, Equity, Inclusion, and Belonging 3-5 references (contact information) 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. The University is an Equal Opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. See UC policies for full details. Job location:
Berkeley, CA
#J-18808-Ljbffr