Research Fellow in Empirical Law and Finance - Stanford Law School jobs in United States
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Inside Higher Ed · 1 week ago

Research Fellow in Empirical Law and Finance - Stanford Law School

Stanford Law School is seeking a full-time Research Fellow in Empirical Law and Finance to work on projects related to venture capital finance, corporate governance, and securities regulation. The role involves performing research tasks, managing datasets, and conducting statistical analyses, contributing to a vibrant academic community.

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Responsibilities

Plan and perform research tasks requiring initiative and judgment by applying basic knowledge and understanding of empirical methodologies and models. General instructions provided by the faculty supervisor as needed. May interpret research results in collaboration with supervisor or PI
Conceptualizing suitable empirical methodologies and models
Collecting, managing, and structuring quantitative datasets
Conducting statistical analyses of complex datasets and interpreting results
Report writing and manuscript preparation
Participate and assist with planning empirical projects
Implement regression and other statistical models using Stata, R, SAS or similar statistical programming languages
Participate in the development and administration of surveys using validated variables and questions
Conduct targeted search on recent scholarship about particular research as assigned
Potential communication with high-level officials, industry stakeholders, and research collaborators
Assist with development, communication and design of research findings to internal and external audiences in the form of report writing and manuscript preparation
May formulate nationwide randomized controlled trials, and create novel datasets on research related to policy issues
Identify, select, extract and summarize data and structured information. Present summary of findings to faculty supervisor
Ensure compliance with research protocols

Qualification

Statistical analysesProgramming in StataRSASEmpirical methodologiesData managementResearch writingAnalytical writingEffective communicationProblem-solvingOrganizational skillsTime managementInitiative

Required

Bachelor's degree in a relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion of undergraduate degree in a related field
Effective oral and written communication skills
Outstanding academic credentials and intellectual creativity
Eagerness to take initiative and solve intricate problems
Experience with statistical analyses
Ability to work under deadlines with general guidance
Excellent organizational skills and demonstrated ability to complete detailed work accurately
Excellent time-management skills and ability to work effectively with minimal supervision
Exceptional research and analytical writing skills
Programming experience and substantial programming experience in Stata, R, SAS or similar statistical programming languages

Preferred

Prior experience with machine learning and natural language processing is a plus

Benefits

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
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.

Company

Inside Higher Ed

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Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.

Funding

Current Stage
Growth Stage
Total Funding
unknown
2022-01-10Acquired
2006-08-31Series Unknown

Leadership Team

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Stephanie Shweiki
Director, Foundation Partnerships
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