Application Deadline | 6/1/2024 | Category | Information Technology | Company | Stanford University | Job Locations | US-CA-Palo Alto |
Stanford Data Science (part of the Office of the Vice Provost and Dean of Research) is a rapidly growing unit that is seeking their Director of Research Data Science. Stanford University is planning a major investment in a GPU-centric system to enable large-scale and broad data-intensive research, that will ultimately support new scientific discoveries. This role will be leading this new initiative responsible for launching the design, governance of the program, and eventually building the team of research data scientists needed to teach groups how to take advantage of the system and design and optimize the hardware and software architectures. Looking to make an impact? This role will help first-hand shape the future of research at one of the world's leading universities.
Another Source's client, Stanford University, is recruiting a Director of Research Data Science in Palo Alto, CA.
This position is part of a new initiative incubated within Stanford Data Science, part of the Office of the Vice Provost and Dean of Research. For more than four years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future.
Learn more about Stanford Data Science: https://datascience.stanford.edu/about/about-stanford-data-science
Meet the Team: https://datascience.stanford.edu/about/people/leadership
The expected pay range for this position is $213,000 to $242,000 per annum. Relocation assistance is offered for those moving from out of the area.
Benefits:
Stanford recognizes that living in the Bay Area comes with a high cost of living. Because of this, they are doing their absolute best to offer a total compensation package that creates an opportunity for you to thrive in a career at Stanford AND enjoy the beautiful Bay Area! How do they do that?
Being on campus means the opportunity to utilize world-class exercise facilities where you can grab a lunchtime workout to sustainability and environmental responsibility programs that make it easy to live your values:
A caring culture! We provide superb retirement plans, generous time-off, and family care resources:
Learn more about the benefits of working at Stanford:
https://cardinalatwork.stanford.edu/benefits-rewards
POSITION SUMMARY:
Stanford University is planning a major investment in a GPU-centric system to enable large-scale and broad data-intensive research requiring advanced machine learning techniques, including large language models. A system like this requires specialized skills to effectively harness the hardware to enable new scientific discoveries. Stanford seeks an individual to launch the design and eventually build the team of research data scientists needed to (a) teach groups how to take advantage of the system and (b) design and optimize the hardware and software architectures. Ideal candidates must combine expertise in high-performance computing, software engineering, and large-scale systems with a deep understanding of academic research practices.
The position will provide strategic leadership for the new GPU-centric computing infrastructure, manage affiliated research data scientists, and exercise the delegated authority for policy and programmatic decisions. The candidate will achieve teaching and research goals and partner with faculty leadership on the larger data science mission at Stanford.
CORE DUTIES:
MINIMUM REQUIREMENTS:
Education & Experience:
Bachelor's degree and ten years of relevant experience or combination of education and relevant experience.
Preferred:
Ph.D. and ten years of relevant experience in machine learning, data science, artificial intelligence, research computing systems, and people management, or a combination of education and relevant experience.
Knowledge, Skills and Abilities:
Why Stanford is for You:
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
This is a 100% FTE, benefits-eligible position. All final candidates must complete a background check.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Another Source works with their clients, on a retained project basis. We are committed to building inclusive candidate pools as we partner with hiring teams. Veterans, women, people of color, LGBTQIA+, and people with disabilities are encouraged to apply. As you read through the job posting and review the list of qualifications (required and/or preferred), please do not self-select out if you feel you do not meet every qualification. No one is 100% qualified. We encourage you to apply and share your story with us.
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