Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics

Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology 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 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 to 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 Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. Key Responsibilities Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, 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 specific projects to test, learn and implement for general and specific use cases. General organization and management of software documentation. Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods. Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. Contribute to dissemination via open source code repositories, demonstrations, publications, presentation. 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 international degree in Computation Data, Computer Sciences, Bioinformatics or Related field Demonstrated record of productivity and publications and/or scholarly contributions Strong biological background and understanding of molecular biology Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras Demonstrated ability to work in a research team, manage active collaborations with other academic groups Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond) Expertise in programming in C++, Labview, MATLAB, Python Expertise in databases, data infrastructure, data governance Expertise in high performance computing 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 (vison transformers, diffusion models, etc Experience mentoring undergraduate/graduate students, and/or technicians. Experience with professional speaking engagements Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service. 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.

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