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Inside Higher Ed · 1 month ago

Sr. Research Analytics Scientist

Stanford, CA

Full-time

Hybrid

Senior Level

$171K/yr - $220K/yr

5+ years exp

Inside Higher Ed is associated with Stanford's Graduate School of Business, which is known for its innovative management programs. The Sr. Research Analytics Scientist will work with faculty and researchers to address complex research challenges, develop technical solutions, and enhance academic research through data analysis and machine learning methodologies.

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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. Consult on the creation and management of large, variable datasets in order to enable their preparation and use in research for modeling and analysis

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

Read and understand original academic research papers and their associated computer source code. Replicate results from diverse fields as needed

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

Qualification

Data scienceMachine learningPythonAPI programmingFull-stack applicationsStatistical analysisText processingImage processingCloud computingInterpersonal skillsProblem-solvingCommunication skillsTeamworkContinuous 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

Excellent Health Care And Retirement Plans

Generous Vacation Policy, Including Additional Time Off During Our Winter Closure

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!