Clinical Research AI Research Scientist II

Palo Alto Veterans Institute for Research (PAVIR) is seeking a full-time Clinical Research AI Research Scientist II. The AI scientist will work lead the analysis of large electronic health record data including unstructured clinical notes, administrative data, and patient-reported data to guide care delivery and improve our understanding of cardiovascular outcomes. We are seeking candidates with expertise in multi-modal and multi-task learning, weak supervision, knowledge representation, and natural language processing. They will guide the development of AI-based models to analyze and extract clinical features from unstructured data and to develop prediction models using longitudinal electronic health record data. They will leverage the electronic health record data of the nation's largest healthcare system.

This scientist will work with Dr. Sandhu and Dr. Heidenreich's Cardiovascular Outcomes Research Group. In collaboration with the rest of the team, the Scientist will develop and evaluate these models and will publish these findings in peer-reviewed publications. These analyses will also be used to develop and inform quality improvement interventions to improve the delivery of cardiovascular care across the healthcare system.

BENEFITS

PAVIR is delighted to offer a robust and comprehensive employee benefits package with exceptional offerings such as health, dental and vision insurance, 14 paid holidays, generous vacation and sick pay policies, a 401(k) with a fully vested 6% company match and 3% profit share, a wellness program, commuter benefits, and professional development training. Plus, we pay for life, short-term disability, and long-term disability insurance.

MAIN RESPONSIBILITIES:

• Develops artificial intelligence, machine learning, deep learning, and natural language processing algorithms;
• Designs artificial intelligence solutions to solve business problems;
• Implements complex data systems;
• Presents research and makes suggestions to leadership;
• Recommends changes to existing models with a focus on innovative algorithms;
• Other tasks as assigned.

QUALIFICATIONS:

• Required: Bachelor's degree or Advanced Degree (Master's or Ph.D.);
  • 2 years of related experience;
  • Excellent written and oral communication skills;
  • Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning, NLP, etc;
  • Proficient programming skills in Python and R or another relevant programming language commonly used in data science and natural language processing;
  • Strong record of distinguished scholarly achievement;
  • A strong publication record;
  • Be willing, and able, to working in a collaborative research environment.
• Desired:
  • Degree in Biomedical Informatics, Computational Linguistics, Computer Science, Engineering, Health Services Research, or a related discipline;
  • Ability to work in a highly collaborative, results-driven, fast-paced environment;
  • Ability to successfully interact with a diverse team, including clinicians, IT staff, and scientists across domains;
  • Independent, and self-motivated researcher who is open to receiving feedback, as well as work with directed autonomy;
  • A background in medicine or other related healthcare field is highly desirable;
  • Strong expertise in hands-on experience in using LLM for medical text processing;
  • Ability to utilize LLMs, RL, and deep learning to build predictive models for diverse applications in biomedical informatics (e.g., computational drug repurposing, and outcome prediction of treatment based on EHR);
  • Work with large-scale biomedical datasets (e.g., knowledge graphs) and patient electronic health records (EHRs);
  • Familiarity with biomedical terminology;
  • Interest in equity, bias, and representation, in both evaluating the skews of datasets and the implementation of new technology tools for the benefit of patients;
  • Interest and experience in mentoring and/or supervising younger scholars and their work;

ABOUT PALO ALTO VETERANS INSTITUTE FOR RESEARCH (PAVIR)

PAVIR engages in the administration of funds and providing support for the conduct of research at the Veterans Affairs Palo Alto Health Care System (VAPAHCS) to find new and improved ways to combat human disease and help people with disabilities. At PAVIR we work with more than 160 uniquely talented medical scientists. Our researchers have an active appointment with the VA Palo Alto Health Care System and maintain academic appointments with Stanford University. We recruit and retain talented employees who believe in making a difference in the lives of others through innovative health research.

PAVIR is a nonprofit foundation affiliated with the Veterans Affairs Palo Alto Health Care System (VAPAHCS). As a condition of employment, all PAVIR employees are required to have an approved appointment with VA and complete a background check before they can commence work.

PAVIR is pleased to be an Equal Opportunity Employer. Minorities, Women, Veterans, and Individuals with a Disability are encouraged to apply. We welcome and encourage diversity in the workplace regardless of race, color, religion, age, gender, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need special assistance or an accommodation to apply for a posted position, please contact [email protected] - Human Resources department.