Research Data Analyst
Brown University
Providence, RI
Full-time
Research
Posted on April 9, 2024
Job Description:
The Population Studies and Training Center (PSTC) at Brown University builds scientific understanding of local, national, and global population challenges and their implications for health and well-being. Research at the PSTC is distinguished by its commitment for collaboration across disciplinary and institutional boundaries as well as its strong portfolio of global research. PSTC focuses on demographic research in six main areas: children, families, and health; migration and urbanization; population and environment; demographic change and global development; reproductive health and HIV/AIDS; and social inequalities. Potential applicants are encouraged to consult the PSTC website to learn of research activities, intra-institutional links, and faculty affiliate interests.
The primary purpose will be to work with the research group, Opportunity Insights. The team's mission is to develop scalable policy solutions that will empower families throughout the United States to rise out of poverty and achieve better life outcomes. This mission is pursued primarily by conducting rigorous, scientific research that harnesses the power of “big data” using an interdisciplinary approach. Much of the team's ongoing research uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Current projects study the long-term impacts of neighborhoods, the role of colleges as a pathway to upward mobility, how social networks may affect poverty, and the impacts of historical place-based policies on residents. Results from these projects have appeared in the New York Times and Wall Street Journal and have been widely cited in policy discussions, including the President's State of the Union address. This position will contribute to the mission by conducting data analysis and statistical development; writing academic papers and preparing presentations; communicating with team members, media and other project relevant partners; gathering and cleaning datasets.
This position is 100% grant funded and renewable for a 2nd year depending on funding.
Education and Experience
Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty, and staff are driven by the idea that their work will impact the world.
Brown University offers a flexible work/life balance; summer hours, winter break, and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts, and more.
All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.
Recruiting Start Date:
2023-11-20
Job Posting Title:
Research Data Analyst
Department:
Population Studies and Training Center
Grade:
Grade 9
Worker Type:
Employee
Worker Sub-Type:
Fixed Term (Fixed Term)
Time Type:
Full time
Scheduled Weekly Hours:
37.5
Position Work Location:
Hybrid Eligible
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
EEO Statement:
Brown University is an E-Verify Employer.
As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.
The Population Studies and Training Center (PSTC) at Brown University builds scientific understanding of local, national, and global population challenges and their implications for health and well-being. Research at the PSTC is distinguished by its commitment for collaboration across disciplinary and institutional boundaries as well as its strong portfolio of global research. PSTC focuses on demographic research in six main areas: children, families, and health; migration and urbanization; population and environment; demographic change and global development; reproductive health and HIV/AIDS; and social inequalities. Potential applicants are encouraged to consult the PSTC website to learn of research activities, intra-institutional links, and faculty affiliate interests.
The primary purpose will be to work with the research group, Opportunity Insights. The team's mission is to develop scalable policy solutions that will empower families throughout the United States to rise out of poverty and achieve better life outcomes. This mission is pursued primarily by conducting rigorous, scientific research that harnesses the power of “big data” using an interdisciplinary approach. Much of the team's ongoing research uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Current projects study the long-term impacts of neighborhoods, the role of colleges as a pathway to upward mobility, how social networks may affect poverty, and the impacts of historical place-based policies on residents. Results from these projects have appeared in the New York Times and Wall Street Journal and have been widely cited in policy discussions, including the President's State of the Union address. This position will contribute to the mission by conducting data analysis and statistical development; writing academic papers and preparing presentations; communicating with team members, media and other project relevant partners; gathering and cleaning datasets.
This position is 100% grant funded and renewable for a 2nd year depending on funding.
Education and Experience
- BA or BSc required.
- 1-2 years of related experience.
- Experience as a research assistant, especially quantitatively analyzing big real-time data, strongly preferred.
- Programming experience in Stata, SAS, R and/or Python.
- Strong quantitative skills.
- Excellent conceptual understanding of economic models and econometric / statistical techniques.
- Demonstrated commitment to supporting a community of diverse perspectives and cultures in an inclusive environment.
Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty, and staff are driven by the idea that their work will impact the world.
Brown University offers a flexible work/life balance; summer hours, winter break, and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts, and more.
All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.
Recruiting Start Date:
2023-11-20
Job Posting Title:
Research Data Analyst
Department:
Population Studies and Training Center
Grade:
Grade 9
Worker Type:
Employee
Worker Sub-Type:
Fixed Term (Fixed Term)
Time Type:
Full time
Scheduled Weekly Hours:
37.5
Position Work Location:
Hybrid Eligible
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
EEO Statement:
Brown University is an E-Verify Employer.
As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.
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