Minimum Requirements:
● Bachelor’s degree and 5-7 years of experience in computational methods, tools and systems or a Master’s degree in computer science, data science, statistics, or a related field and 3-5 years of relevant experience, or combination of education and relevant experience.
● High level of proficiency in data science and machine learning methodologies and tools.
● Strong programming skills in Python. Strong and demonstrated experience with scientific coding/scripting, preferably in Python, R, Fortran, C++ and various shells. Experience with research software written in one or more of these: Matlab, R, Julia, Javascript, Stata.
● Experience with research software written in one or more of R, Stata, Matlab, SAS, Julia, JavaScript.
● Experience installing and debugging installations of complex scientific applications and associated dependencies. Demonstrated expertise preferred in creating and debugging application containers and scientific workflows in a cluster computing or cloud-based advanced analysis environment.
● Experience with data processing at scale, and an understanding of which tools are appropriate at which times.
● Working knowledge of OpenMP, MPI or other parallel processing approach sufficient to advise on SLURM submissions and basic debugging techniques. Working knowledge of at least one mainstream ML/AI framework and how to execute efficiently in an advanced computing environment.
● Proficient in debugging SLURM errors associated with complex jobs and recommending solutions.
● Familiarity with text and image processing techniques (OCR, NLP, regex, image classification).
● Ability to develop and deploy full-stack applications and API integrations for a research setting.
● Excellent problem-solving capabilities and creativity in developing bespoke solutions.
● Strong interpersonal and communication skills for effective collaboration with a diverse group of stakeholders.
● Commitment to continuous learning to understand the latest technologies and research methodologies including research computing.
● Service-oriented and empathetic, comfortable helping researchers with varying skill levels.
● Demonstrated ability to work and collaborate with others across the workgroup, the organization, and user community; ability to prioritize tasks and manage time effectively; and strong interpersonal and communication skills for effective collaboration with a diverse group of colleagues and stakeholders.
● Ability to work a hybrid schedule.
● May require working flexible hours, including nights and weekends.
Additional responsibilities and requirements for Senior Research Analytics Scientist role include.
● Master's degree in computer science, data science, statistics, or a related field and 5-8 years of relevant experience, or combination of education and relevant experience in computational methods, tools and systems.
Researcher Engagement:
● Lead collaboration with cross-functional technical teams, faculty and researchers to understand their research goals and identify technical obstacles and solutions for highly complex research questions.
● Assist researchers in the identification of appropriate computational platforms (locally and externally); the tuning, debugging, optimization, and enhancement of their existing algorithms on mid-scale HPC, cloud computing, and national facilities.
● Advise researchers in the best use of a broad set of cyberinfrastructure systems, tools, and software.
● Build a deep understanding of specific research activities associated with strategic priorities
● Regularly attend research meetings to develop both formal and informal pathways for regular exchanges of information.
● Develop and surface metrics to demonstrate effectiveness and impact on researcher productivity and success as a result of engagements.
Solutions Development:
● Formulate complex and innovative technical strategies and engineer them to completion to achieve unique research objectives and overcome any research challenges, using external vendors as needed.
● Lead the development of frameworks that assist researchers in analyzing and visualizing data to uncover insights and support research findings. Consult on the creation and management of large, variable datasets in order to enable their preparation and use in research for modeling and analysis.
● Execute technical solutions to meet the most complex research needs, including machine learning algorithms, text and image processing techniques, API programming, custom full-stack applications, automated web scraping, and crowdsourcing pipelines, to inform research findings. Facilitate the design, debugging, and automating/scripting of novel complex research workflows with researchers. Develop enhancements to workflows.
● Synthesize complex patterns in research and evaluate potential platforms, including meeting with representatives from emerging industries and analyzing tools and systems through the lens of academic research, spanning Artificial Intelligence, Big Data and Cloud Technologies.
● Continuously adapt to and formulate solutions using evolving technologies and methodologies to accelerate research development and enable new research frontiers. Leverage leading-edge technical knowledge and interpersonal skills to support and enhance academic research.
● Ensure the feasibility of support and security of such solutions, and compliance with applicable local, campus or national policies, practices and regulations.
Documentation/Training:
● Collaborate with research leads and teams to research and develop efforts to enhance the team's capabilities in research support, including training sessions, testing new data collection methods, and staying abreast of relevant literature.
● Participate and present at industry conferences and meetings to understand the latest academic research papers and computer source code. Replicate results from diverse fields as needed.
● Build advanced curriculum and teach workshops on topics such as software porting techniques, parallelization and optimization methodologies, computational platforms, and data management, ensuring that those workshops are aligned with unit goals, referenced technologies are supported and supportable, materials are vetted collaboratively by peers and team, and all sessions are evaluated by participants.
● Lead the development and delivery of documentation and training for faculty and research staff.
● Document all interactions, solutions and approaches discussed with researcher-facing and systems-facing peers
Partnership/Collaboration:
● Connect and coordinate interactions between researchers and technology providers, management and technology partners. Connect research teams with external experts, resources and local team members, peers and management as needed to facilitate solution development.
● Work closely and collaboratively with peers to ensure that proposed solutions do not adversely affect overall system performance and that solutions are consistent with local policies.
● Provide regular communications to systems and software/data professionals and ensure management awareness of proposed initiatives and approaches.
Project Team Lead:
● This role may occasionally lead functional teams in the development and execution of projects. Provide mentorship, coaching, and leadership to team members as needed.
The expected pay range for this position is $170,624 to $220,325 per year.
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.
Why Stanford is for You
Stanford’s dedicated 16,000 staff come from a breadth of educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global sphere. We provide competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you:
How to Apply
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, please submit a cover letter and résumé along with your online application.
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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My Submissions Graduate School of Business, Stanford, California, United States
📁 Information Analytics
Post Date: Mar 24, 2026
I love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups.
Nora Cata
School of Engineering
I get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I've been able to streamline processes that provide better and faster information to our students.
Phillip Cheng
Office of the Vice Provost for Student Affairs
Besides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders.
Denisha Clark
School of Medicine
I like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work.
Laura Lind
Office of the President and Provost
Join Stanford in shaping a better tomorrow for your community, humanity and the planet we call home.