Machine Learning & Data Analytics, Entry Level

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Job Summary:

The University of California Berkeley is seeking two Project Scientists at various ranks to contribute to the Advanced BioImaging Center. The role involves developing data analytics software and machine learning applications, collaborating with a team to tackle complex biological questions using advanced imaging technologies.

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). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.

• 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:

Required:

• PhD (or equivalent international degree)

• 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:

• 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 (vision 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

Company:

A wellspring of innovation, the school occupies a 1,232-acre campus near downtown Berkeley. Founded in 1868, the company is headquartered in Berkeley, CA, US, with a team of 10001+ employees. The company is currently Late Stage. University of California, Berkeley has a track record of offering H1B sponsorships.