Skip to content Skip to navigation

Open Postdoctoral position, faculty mentor Russ Altman

Important Info

Faculty Sponsor (Last, First Name): 
Altman, Russ
Stanford Departments and Centers: 
Center for Biomedical Ethics
Postdoc Appointment Term: 
Two years, renewable with mutual decision of the candidate and program.
Appointment Start Date: 
Immediately
How to Submit Application Materials: 

The GSK.ai/Stanford AI Ethics Fellowship:
Emerging Issues for Low and Middle-Income Countries in AI/ML Drug Discovery

At the Stanford Center for Biomedical Ethics (SCBE) and GSK.ai, research fellows are exploring the ethical considerations associated with using artificial intelligence and machine learning (AI/ML) to discover transformational medicines and to deliver improved clinical outcomes. Low and middle-income countries (LMICs), which face large unmet medical needs, are home to almost 90% of the world’s population. Yet LMIC voices are often absent from debates around AI/ML ethics, which is a missed opportunity. To deliver truly global benefits from the AI/ML revolution currently taking place in drug discovery, and to do so in a responsible and ethical manner, research is urgently required to understand how LMICs considerations should help to shape these emerging technologies. We are therefore pleased to announce a new Stanford/GSK.ai fellowship position, focused on LMIC issues in this space. The post-doctoral fellowship position is available as part of the Stanford Training Program in Ethical, Legal, and Social Implications (ELSI) Research and at the Center for Integration of Research on Genetics and Ethics (CIRGE). Candidates from underrepresented groups are strongly encouraged to apply, as are candidates from (or currently living in) LMICs.

Through exposure to AI researchers, scientists, and ethicists at GSK.ai, fellows will gain an inside view of AI-driven biomedical research at a large pharmaceutical company, while retaining editorial independence in their research under the supervision of Stanford University faculty. Fellows will also be part of an interdisciplinary academic community at Stanford University, including faculty and fellows from this program and other affiliated programs, including the Stanford Institute for Human-Centered Artificial Intelligence (hai.stanford.edu). Fellows are expected to gain practical experience in professional activities through programs such as the Stanford Benchside Ethics Consultation Service, a research ethics consultation program to assist life sciences researchers in the resolution of ethical concerns in their research, one of the Stanford-affiliated clinical ethics consultation services, and/or teaching.

In addition to participating in SCBE and CIRGE activities fellows will have access to a full range of courses, which includes genetics, social science, humanities and law courses. It is expected that the fellows may need formal coursework in genetics, ethics, or ELSI research methods. Mentors will assist the fellow in formulating an individualized curriculum and career strategies. All trainees will be expected to present their research in scholarly venues. Fellowship support includes a stipend, tuition, and health insurance. Funds will be provided for each fellow to travel to one meeting per year. See below for more information about the Stanford Training Program in ELSI Research.

Key facts
·         Co-Principal Investigators and Program Co-Directors (all at Stanford University): Russ Altman, MD/PhD (russ.altman@stanford.edu), Mildred Cho, PhD, and David Magnus, PhD
·         Funding source: GSK.ai, which is an interdisciplinary tech organization inside the global pharmaceutical company GlaxoSmithKline, leveraging AI/ML to enable data-driven drug discovery & clinical applications.
·         Appointment: Two years, renewable with mutual decision of the candidate and program.
·         Location: Candidates will be based at the Stanford Center for Biomedical Ethics at Stanford, Palo Alto.

Required Qualifications: 
  •  PhD and/or MD
  • We are seeking candidates with a background in artificial intelligence, machine learning, life sciences and/or medicine, with a demonstrated interest in ethics, philosophy, social science, public policy, or other related disciplines, with a deep understanding of issues impacting LMICs

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.