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POSTDOCTORAL RESEARCH FELLOW/DATA SCIENTIST
Company Information
UC San Francisco is the leading university dedicated to advancing health worldwide through preeminent biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care.
Within our overarching advancing health worldwide mission, UCSF is devoted at every level to serving the public.
Zuckerberg San Francisco General Hospital is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We are growing the hospital’s predictive analytics team, whose charter is to leverage large datasets to improve patient care for all. Our team is dedicated to the development and testing of ML algorithms that support the hospital’s performance improvement efforts, with an emphasis on health equity and algorithmic fairness. We are committed to the translation of these algorithms into clinical practice and will be embedding all our algorithms into various clinical systems including the electronic health record (EHR) for rigorous testing and monitoring.
We are seeking a highly motivated postdoctoral researcher/data scientist to join our team. The primary responsibilities are:
* Develop and test new ML algorithms that analyze structured data and clinical notes from the electronic health record (EHR) system
* Research and assess the use of large language models (LLMs) to develop interpretable and scalable clinical decision support systems
* Be up-to-date on state-of-the-art methodologies in the relevant technical fields and application domains
* Ensure that the developed ML algorithms are reliable and fair
* Publish research manuscripts in collaboration with the team
Our predictive analytics team is highly collaborative and includes team members with wide-ranging expertise, including healthcare, clinical IT, biostatistics, machine learning, and software engineering.
The position requires at least a PhD degree or equivalent in data science, (bio)statistics, computer science, or another relevant field. We are looking for someone who:
* has experience in training and testing ML algorithms for large datasets
* has experience in methodological development and can perform independent research, with a strong and relevant publication record
* has interest in analyzing Electronic Health Record (EHR) data and natural language processing (prior experience is a huge plus)
* has a strong software engineering background, including working within a Linux environment, using git-based workflows, writing Python, using high-performance computing, etc
* is able to work collaboratively with a team