Note: Not all unique aspects of the job are covered by this job description
As a Research Analytics Consultant (RAC), you will draw on a broad set of technological, creative, and problem solving skills in order to facilitate and accelerate academic research at the Stanford University Graduate School of Business (GSB).
You will have the opportunity to work/consult with researchers, faculty, students, and staff in various disciplines on tasks such as high performance computing, data harvesting, data processing, data visualization, and application development. You will join a team of fellow RACs, data analysts, and project managers in Research Support Services, the School's primary research support team.Your clients will include GSB faculty who are drawn from a broad spectrum of academic backgrounds, research interests, methodological specialties, and technical backgrounds. As a RAC, you will typically engage multiple faculty clients at a time, and these engagements might last anywhere from a few days to several months.
Your role will require you to listen carefully and critically in order to understand the faculty member's research goals and the obstacles they face in:
creating new, unique datasets,
transforming existing datasets to make them model ready, and
analyzing their data.
Partner with the Library, Information Technology and Research Computing groups to develop creative solutions to faculty members' data needs.
You will then conceive, propose, and deliver innovative solutions to these research challenges. Examples of such solutions might include:
Machine learning algorithms
Web app development and deployment
Automated web scraping
Text feature extraction (OCR, NLP, regex, etc.)
Parallel computing techniques
In addition to working with individual faculty, you will be expected to contribute significantly to other long-range projects to improve the research support ecosystem, depending on your background and your interests. Examples of such projects might include: enhancing our research computing infrastructure, creating tutorials and training materials, learning new methods for working with Big Data, improving the workflow for custom behavioral experiments, and so forth.
We are a team of data enthusiasts that possess an insatiable curiosity for data, research and technology. We bring dedication to our work, and a commitment to growth and balance on our team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques to solve research problems. As these technologies and research questions evolve, so will your role.
Manage research support projects; work with faculty to determine long-term data collection and transformation goals; establish short-term priorities; and, deliver solutions to achieve these goals
Implement novel computational approaches and analytical tools as required by the faculty's research goals.
Work with faculty and PhD students to design experiments and tests for their hypotheses.
As necessary, initiate and lead projects around the development of new software tools or infrastructure resources that will expand research capabilities at the GSB.
Design data structures for the storage and analysis of research data, and ensure the data's integrity.
Create documentation, demonstrations, and training materials for research datasets; partner with faculty and PhD students who work with these datasets to discover new knowledge.
Work with faculty and students to answer questions about working with research datasets.
Participate in presentations and demonstrations of the data and analytic solutions, primarily internally and occasionally at conferences or other institutions.
Participate in collaborations with the Research Initiatives, other GSB research teams, the GSB Behavioral Lab, and IT partners.
Might supervise or guide research staff, as needed; schedule and assign workload; set appropriate deadlines; review work for quality and timeliness.
* - Other duties may also be assigned
Education & Experience:
Master's degree (PhD preferred) in a quantitative or scientific field and five years of relevant experience, or combination of relevant experiences. Candidates with fewer years of combined education/experience may also be considered.
Knowledge, Skills and Abilities:
Computer skills, including computational techniques for statistical analysis, scripting, and batch processing. Must be Unix/Linux fluent.
Demonstrated experience with relational databases, data integration, and statistical programming.
Ability to understand research methodology, experimental procedures and their limitations, and current needs of the social science research community.
Strong analytical skills.
Strong written and oral English communication skills.
Experience performing data management and analysis in at least two of the following languages: python, R, Matlab, SQL, SAS, and/or Stata on Unix-based systems.
Strong understanding of common computational social sciences techniques, such as logistic regression, structural equations, constrained optimization, factor analysis, network graphs, sentiment classification, random forests, and so forth.
Experience using regular expressions and natural language programming concepts to extract information from text documents and other poorly structured data sources.
Experience with finance and accounting data, such as CRSP, Compustat and SEC filings.
Ability to write simple scripts in Python, bash, or Perl.
Prior experience exploring and applying large-scale data analytics, ETL and warehousing tools such as Amazon EMR, Databricks, Snowflake, Redshift, BigQuery, etc.
Experience or interest in full stack development of real-time web applications for research, using tools such as React, Redux, Flask, MongoDB, Node, Go etc.
Ability to work independently and manage time effectively in a fast-paced environment with unpredictable workflows.
Familiarity with all aspects with research data security, including deidentification, network and file system ACLs, IRB compliance, etc.Demonstrated commitment to continual learning and professional growth.
Certifications and Licenses:
Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.
* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
May work extended or non-standard hours based on project or business needs. Occasional local travel may be required.
Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Location: Graduate School of Business, California, United States Schedule: Classification Level:
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 9000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu.