UCSF

Public health sciences university in San Francisco

Data Scientist

Applied Machine LearningPosted on Nov 11

Full-timeSan Francisco, CA, USA$120k - $125kIn-person

About the Job

Requirements

A bachelor's degree in a related area or equivalent experience or training is required.
Proficiency in Python, with demonstrated experience in data analysis, machine learning, and statistical modeling, is required.
Experience building and maintaining data pipelines, integrating APIs, and working with large-scale datasets is required.
Familiarity with version control using Git and collaborative software development practices is required.
Strong analytical and problem-solving skills, the ability to work independently, and the ability to manage multiple projects are required.
Excellent written and verbal communication skills are required.

Responsibilities

Design and maintain robust data pipelines.
Curate and analyze complex multimodal datasets, including clinical notes, neuropsychological assessments, and neuroimaging.
Develop and evaluate machine learning models.
Contribute to research publications.
Plan long-term statistical studies, including preparing proposals, designing survey instruments, and determining sampling procedures.
Gather, analyze, prepare, and summarize information and data; recommend statistical approaches, trends, sources, and uses.
Prepare data for presentation.
Identify multivariate strategies.
Prepare reports of studies for internal validation and cross-validation studies.
Analyze interrelationships of data and define logical aspects of data sets.
Develop systems for organizing data to analyze, identify, and report trends.
Manage databases of research data for projects.
Review new software instruments and potential effects on statistical testing; make programming modifications as needed.
Participate in developing and implementing data security policies and procedures.
Keep abreast of technical advances in storage, documentation, and dissemination of computerized data.

Desired Qualifications

A master's or Ph.D. in Computer Science, Data Science, Biomedical Informatics, Computational Neuroscience, Biostatistics, or a related quantitative field is preferred.
Experience with large language models is preferred.
Familiarity with clinical, cognitive, or health-related datasets, such as electronic health records, neuroimaging, and neuropsychological assessments, is preferred.
Knowledge of data security, privacy, and regulatory standards for clinical applications, such as HIPAA compliance, is preferred.
Experience with deep learning frameworks such as PyTorch and TensorFlow, and cloud computing platforms, is preferred.
A track record of peer-reviewed publications or contributions to open-source projects is preferred.
Interest in or experience with agentic AI architectures, retrieval-augmented generation, or multi-agent systems is preferred.

The NeuroAI Lab at UCSF, is hiring a Data Scientist to support and advance our research initiatives at the intersection of AI and cognitive neuroscience. The successful candidate will contribute to a multidisciplinary team developing cutting-edge AI systems for the discovery, diagnosis, and care of neurodegenerative diseases. The Data Scientist will work across the lab’s core research areas, including: (1) foundation AI models that leverage large-scale clinical databases to identify disease subtypes and risk factors; (2) agentic AI decision support systems that synthesize multimodal patient data for specialist-level diagnoses; and (3) AI conversational agents for scalable clinical assessments. The role involves designing and maintaining robust data pipelines, curating and analyzing complex multimodal datasets (clinical notes, neuropsychological assessments, neuroimaging), developing and evaluating machine learning models, and contributing to research publications. The ideal candidate will have strong programming skills and experience with generative AI and traditional ML algorithms, a passion for translational research, and the ability to work effectively across disciplines. This position offers exceptional opportunities for professional growth at the forefront of health AI, with direct exposure to world-class clinical collaborators and the potential to impact real-world patient care.

Department Description:

The NeuroAI Lab operates at the UCSF Memory and Aging Center-Department of Neurology - Weill Institute for Neuroscience. We are also affiliated with the Bakar Computational Health Sciences Institute and the Center for Intelligent Imaging (ci2).

Required Qualifications:

Bachelor’s degree in related area and / or equivalent experience / training.
Proficiency in Python, with demonstrated experience in data analysis, machine learning, and statistical modeling.
Experience building and maintaining data pipelines, integrating APIs, and working with large-scale datasets.
Familiarity with version control (Git) and collaborative software development practices.
Strong analytical and problem-solving skills, with the ability to work independently and manage multiple projects.
Excellent written and verbal communication skills.

Preferred Qualifications:

Master’s or Ph.D. in Computer Science, Data Science, Biomedical Informatics, Computational Neuroscience, Biostatistics, or a related quantitative field.
Experience with LLMs.
Familiarity with clinical, cognitive, or health-related datasets (e.g., electronic health records, neuroimaging, neuropsychological assessments).
Knowledge of data security, privacy, and regulatory standards for clinical applications (e.g., HIPAA compliance).
Experience with deep learning frameworks (PyTorch, TensorFlow) and cloud computing platforms.
Track record of peer-reviewed publications or contributions to open-source projects.
Interest in or experience with agentic AI architectures, retrieval-augmented generation (RAG), or multi-agent systems.
Ability to thrive in a fast-paced, multidisciplinary research environment.

% of time	Essential Function (Yes/No)	Key Responsibilities (To be completed by Supervisor)
20%		Plans long-term statistical studies, including the preparation of proposals, design of survey instruments and determining sampling procedures.
20%		Gathers, analyzes, prepares and summarizes the collection of information and data; recommends statistical approaches, trends, sources and uses.
5%		Prepares data for presentation.
10%		Identifies multivariate strategies.
5%		Prepares reports of studies for internal validation and cross validation studies.
5%		Analyzes the interrelationships of data and defines logical aspects of data sets.
10%		Develops systems for organizing data to analyze, identify and report trends.
10%		Manages database of research data for projects.
5%		Reviews new software instruments and potential effects on statistical testing. May make programming modifications.
5%		Participates in development and implementation of data security policies and procedures.
5%		Keeps abreast of technical advances in storage, documentation and dissemination of computerized data.
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100%		(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

Budgeted Job Salary Range: 120,000 -125,000

About the Company

UCSF

Public health sciences university in San Francisco

UC San Francisco is a public research university in San Francisco focused solely on health sciences, combining professional education with biomedical research and patient care. Its schools of dentistry, medicine, nursing and pharmacy train clinicians and scientists, while teams investigate cancer, immunology, genomics and neuroscience. UCSF Medical Center and Benioff Children's Hospitals connect clinical care with faculty research and training, and university clinics serve patients across Northern California. Founded in 1864, UCSF is the University of California campus dedicated to graduate and professional education and biomedical research, based in San Francisco.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 1864

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