This is a 3-year fixed term appointment.
This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five 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.
Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe’s capabilities.
This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe’s GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford’s efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status.
Code Architecture for GPU Computation
Algorithm Development and Data Management
Research Support and Software Infrastructure
Training and Mentorship
Open Science and Research Continuity
*Other duties as assigned.
Education & Experience (Required):
This role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate.
The expected pay range for this position is $142,000 to $200,000 per annum.
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.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
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.
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