Research Associate in Harvard Business School Harvard Business School

Research Associate
Harvard Business School

 

44817BR

 

Job CodeRS0056 Researcher II Humanities


Duties & Responsibilities

 

The Research Associate (RA) position reports directly to faculty supervisor in the Finance unit and administrative manager in the Research Staff Services office. Ideal RA candidates will demonstrate a high level of independence, intellectual curiosity, and the ability to use discretionary judgment. Under the general direction of faculty member, the RA will develop, design, and conduct research projects; synthesize, analyze, and produce original statistical models; conduct background research for scholarly research products; use advanced knowledge of quantitative research methodologies to further research findings; design new databases, surveys and experiments.



Primary duties:



Partner with HBS faculty on topics central to HBS research agenda. Provide advanced subject-area expertise, analysis and interpretation to faculty member. Act with a high degree of autonomy. Provide sound statistical advice and collaborate with faculty to answer a wide-range of questions related to statistical design and analysis.



Develop, design, conduct, analyze, and implement research using advanced knowledge, learning, and proven expertise of requested statistical packages. Provide advice during the design stage of project, determining appropriate statistical models. Perform statistical programming.



Develop, synthesize, and provide analysis of data exhibits for academic journal articles, HBS cases and HBS teaching notes. Provide statistical analysis and design for reports and presentations. Independently manage all timelines and deliverables.



Develop and maintain expertise in new research methodologies and techniques. Manage and manipulate data using Stata, and/or SPSS, MATLAB, SAS, R, Mathematica.



Create original, thought-provoking, innovative data presentations for domestic and international audiences.



Exercise independent decision making with regard to progression of research project and methodologies. When confronted with research data, be able to make deductions, add insight and draw conclusions to share with faculty. Collaborate in development of new techniques and instruments. Use knowledge of quantitative methods to analyze and interpret experimental results. Work independently with research methodologies to identify gaps in research data and methods. Produce original and innovative academic materials to supplement faculty research and teaching. Make recommendations to faculty based on statistical interpretation and independent research. Analyze, interpret, and evaluate the quality of results.



Represent HBS to outside entities: interacting with prominent individuals (grace under pressure is essential) when collecting company data.



Ensure compliance with department, University and federal regulations. Complete work with only general direction. Be aware of department, School, University policies and potential outside research policies.



In collaboration with faculty member must be able to take complex research ideas, concepts, and methodologies and apply them to new projects and situations. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment. Will need to be able to identify and articulate valid statistical arguments to researchers/faculty with varying technical level of expertise.

 

Basic Qualifications

 

MA/MS in quantitative field required. 2-4 years of relevant work experience. An interest in Corporate or Consumer Finance, Impact Investing, and/or Social Enterprise is a plus.

 

Additional Qualifications

 

Evidence of outstanding academic achievement. Strong mathematics background. Statistical/programming expertise and/or applied experience in Stata is required, knowledge of multiple is a plus. Experience, training and good habits in data management and analysis. Proven ability with data-based problem solving, and innovation. Experience with high-quality data manipulation and analysis required. Strong skills related to the Microsoft Office Suite are expected.



The candidate must have extremely high standards in terms of quality of work, attention to detail, strong organization skills, and absolute commitment to task completion. He or she must be able to balance multiple tasks and shifting priorities under tight deadlines at an accelerated pace when necessary. Proven ability to work independently and creatively. This position requires an individual capable of consistent use of discretion, judgment, and initiative. Diplomatic skills, comfort in interacting with prominent individuals, and grace under pressure are essential. It is helpful if the candidate is familiar with navigating a complex organization, such as Harvard Business School.



All candidates will be expected to submit sample coding to be reviewed by and discussed with an HBS statistician.


Additional Information

 

This is a full-time term appointment starting as soon as possible through June 30, 2018, with potential for re-appointment.



Applications will be considered on a rolling basis, a cover letter and resume are required for full consideration. Upon the review of application materials, applicants may be asked to submit a writing sample, transcript(s), and sample coding (if applicable).



HBS is not able to provide visa sponsorship for this position.

 

Follow us on Twitter @HBSJobs

 

Job FunctionResearch


Sub-Unit

 

Location

USA - MA - Boston


Department

Division of Research & Faculty Development

 

Time Status

Full-time


Union

00 - Non Union, Exempt or Temporary

 

Salary Grade

056


Appointment End Date

30-Jun-2018

 

Pre-Employment Screening

Education, Identity


Schedule

 

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation or any other characteristic protected by law.


If you apply for this position please say you saw it on Interdisciplinoxy

Apply

All Jobs

copenhagen university

gothenburg university

kuwait univesity

lausanne university

laval university

new south wales university

nus national university of singapore

seoul national university