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

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

Position Title:

Project Scientist

Salary Range:
The UC academic salary scales set the minimum pay determined by rank and step  the salary scale: https://(Use the "Apply for this Job" box below). A reasonable estimate for this position is $181,700 – $229,700.

Percent Time: 100%

Anticipated Start:
Winter/Spring 2026

Position Duration:
Initial appointment for one year with possibility of renewal based on performance and funding availability.

• Make significant and creative contributions to the development of new 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 and 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 of 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). Identify and implement scalable solutions to scientific questions on large‑scale data sets, especially using performant algorithms.
• Develop machine learning approaches and computer vision tools to help preprocess datasets and annotations to generate ground truth benchmarks.
• Contribute to dissemination via open‑source code repositories, demonstrations, publications, and presentations.

Basic Qualifications (required at time of application)

• PhD (or equivalent international degree)

Additional Qualifications (required at time of start)

• Minimum of four years of postdoctoral research experience
• For consideration for the Associate Project Scientist rank: a minimum of 8 years of post‑PhD research experience
• For consideration for the full Project Scientist rank: a minimum of 14 years of post‑PhD research experience

Preferred Qualifications

• PhD or equivalent international degree in Computation & Data, Computer Sciences, Bioinformatics, or a related field
• Demonstrated record of productivity and publications and/or scholarly contributions
• Strong biological background and understanding of molecular biology
• Demonstrated understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras
• Demonstrated ability to work in a research team and manage active collaborations with other academic groups
• Experience handling and processing large‑scale imaging datasets (>100 TB to petabyte scale and beyond)
• Expertise in programming in C++, LabVIEW, MATLAB, and Python
• Expertise in databases, data infrastructure, and data governance
• Expertise in high‑performance computing using SLURM or LSF
• Experience with PyTorch, JAX, or Tensor Flow
• 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, etc.)
• Experience mentoring undergraduate/graduate students and/or technicians
• Experience with professional speaking engagements
• Ability to effectively communicate, collaborate efficiently, and engage with a diverse group of researchers
• Innovative leader capable of synergizing various ideas and approaches while exercising sound judgment to evaluate and take acceptable risks

Document Requirements

• Curriculum Vitae – most recently updated C.V.
• Cover Letter
• Statement of Research – summary of major research accomplishments (≈250 words) and a brief statement highlighting experience directly relevant to the key responsibilities
• Project Portfolio – summary portfolio of data and/or AI projects executed, as demonstrated by publications or Git Hub contributions

Reference Requirements

• Three required references (contact information only)

Apply link: /JPF
05256