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Stanford University · 3 months ago

Sr. Research Analytics Scientist

Stanford, CA

Full-time

Hybrid

Senior Level

$171K/yr - $220K/yr

5+ years exp

Stanford University's Graduate School of Business is seeking a Sr. Research Analytics Scientist to enhance academic research through technical support and innovative solutions. The role involves collaborating with faculty and researchers to identify challenges, develop technical strategies, and improve research methodologies.

EducationHigher EducationUniversities

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Consult and collaborate with faculty and researchers to understand their research goals and identify technical obstacles and solutions

Attend research groups’ meetings and presentations to assist with identifying promising tools and systems and to discuss their computational challenges and requirements

Engage with researchers on the use of a broad set of cyberinfrastructure systems, tools, and software

Provide support for Stanford research computing clusters and storage services, cloud computing, and national resources

Formulate innovative technical strategies and engineer them to completion to achieve unique research objectives, using external vendors as needed

Provide novel technical solutions and consultation on complex technical topics requiring solutions that combine multiple computational tools, approaches and techniques

Consult to develop frameworks that assist researchers in analyzing and visualizing data to uncover insights and support research findings

Help facilitate the design and debugging of research workflows with researchers

Research and assist in the development and implementation of innovative technical solutions to meet research needs, including machine learning algorithms, text and image processing techniques, API programming, custom full-stack applications, automated web scraping, and crowdsourcing pipelines. Identify appropriate computational platforms (locally and externally) and facilitate researchers' use and mastery of same

Continuously adapt to evolving technologies and methodologies to accelerate research development and enable new research frontiers. Leverage technical knowledge and interpersonal skills to support and enhance academic research. Review product demos and provide initial evaluation of potential platforms

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

Contribute to research and development efforts to enhance the team's capabilities in research support, including creating tutorials, testing new data collection methods, and staying abreast of relevant literature. Develop and deliver documentation and training for faculty and research staff

Enhance learning with full awareness of the local research computing and data landscape; continuously optimize the offerings

Help develop and deliver research community learning opportunities, including the delivery of workshops, bootcamps, the creation of videos and other learning collateral, and technical documentation

Partner with others to create training schedules, collaboratively develop materials, and lead training sessions focused on the use of Stanford cyberinfrastructure services for researchers

Assist colleagues and more junior team members by providing guidance and direction on project activities

Connect and coordinate interactions between researchers and technology providers

Provide regular communications to the systems and software/data professionals

Partner with researchers to co-create and co-learn relevant computing and data capabilities

Assist colleagues and more junior team members by providing guidance and direction on project activities

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

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

Ensure the feasibility of support and security of such solutions, and compliance with applicable local, campus or national policies, practices and regulations

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

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

This role may occasionally lead functional teams in the development and execution of projects. Provide mentorship, coaching, and leadership to team members as needed

Qualification

Data scienceMachine learningPythonStatistical analysisAPI programmingFull-stack applicationsText processingImage processingCloud computingInterpersonal skillsProblem-solvingCommunicationTeamworkContinuous learning

Required

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

Preferred

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

Benefits

Freedom to grow. Take advantage of career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues.

A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support.

A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes.

Discovery and fun. Visit campus gardens, trails, and museums.

Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computers, cell phones, recreation, travel, entertainment, and more!

Company

Stanford University

Glassdoor4.3

Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business.

Founded in 1885

Stanford, California, USA

10001+ employees

http://www.stanford.edu

H1B Sponsorship

Stanford University has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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