At a Glance
- Tasks: Support leading professors in data analysis for a contraception trial in Nigeria.
- Company: Join the University of Bristol, a top-ranked UK university known for its research excellence.
- Benefits: Gain hands-on experience, work with experts, and enhance your CV in a prestigious environment.
- Why this job: Be part of impactful research that influences global health policies and practices.
- Qualifications: Must have experience with Stata and a degree in Economics or related field.
- Other info: This is a 6-month full-time role; UK work rights are required.
The predicted salary is between 28800 - 48000 £ per year.
The main purpose of this Bristol-based position is to support Professors Christine (University of Bristol and J-PAL), Grant Miller (Stanford University and J-PAL), and Áureo de Paula (University College London) in implementing and carrying out data analysis for a randomized controlled trial on demand for contraception taking place in Nigeria. You will work closely with the principal investigators (PIs) and the survey implementation partner to develop and pre-test the endline survey instrument, monitor fidelity of implementation, clean the data collected, and analyze the data under the PIs’ guidance. Depending on qualifications, experience, and motivation, you may also contribute to the drafting of initial reports and be a co-investigator in grant applications to extend the project. This is a 6-month full-time position. Given the short timeframe, you need to already have the right to work in the UK.
- Review, adapt, and (desk) pre-test survey instruments
- Monitor daily the data collected to ensure fidelity of implementation of the survey protocols
- Liaise with PIs and the survey firm to respond to fieldwork challenges as they arise
- Data cleaning
- Implement the data analysis plan devised by the PIs
- Carry out limited tasks to support other related research projects, such as preparing replication packages
- Literature reviews
Depending on qualifications, experience, and motivation, the successful applicant may also contribute to the drafting of initial reports and be a co-investigator in future grant applications to extend the project.
Qualifications:
- Experience in the analysis of large datasets using Stata
- A good honours degree in Economics or related topic
- A good postgraduate degree in Economics or related topic or be working towards one, or equivalent professional experience
Research Associate/Senior Research Associate in Economics - University of Bristol employer: Abdul Latif Jameel Poverty Action Lab
Contact Detail:
Abdul Latif Jameel Poverty Action Lab Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate/Senior Research Associate in Economics - University of Bristol
✨Tip Number 1
Familiarise yourself with the specific methodologies used in randomized controlled trials, especially in the context of economics. Understanding these concepts will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former employees of the University of Bristol, particularly those in the School of Economics. Engaging in conversations can provide valuable insights into the work culture and expectations, which can be beneficial during your application process.
✨Tip Number 3
Brush up on your Stata skills, as experience in analysing large datasets is crucial for this role. Consider working on sample datasets or projects that showcase your ability to clean and analyse data effectively.
✨Tip Number 4
Stay updated on recent research and developments in the field of economics, particularly related to contraception and public health. This knowledge can help you engage in meaningful discussions during interviews and show your commitment to the subject matter.
We think you need these skills to ace Research Associate/Senior Research Associate in Economics - University of Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with large datasets using Stata. Include any academic qualifications in Economics or related fields, and emphasise any previous research roles or projects that align with the job description.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the specific research project. Mention your familiarity with randomized controlled trials and your ability to work closely with principal investigators. Be sure to highlight your motivation and how your skills make you a suitable candidate.
Showcase Relevant Skills: When detailing your experience, focus on skills that are directly applicable to the role, such as data cleaning, survey instrument development, and literature reviews. Use specific examples to demonstrate your proficiency and how you've successfully tackled similar challenges in the past.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a research position.
How to prepare for a job interview at Abdul Latif Jameel Poverty Action Lab
✨Showcase Your Data Analysis Skills
Since the role involves analysing large datasets using Stata, be prepared to discuss your experience with data analysis. Bring examples of past projects where you successfully cleaned and analysed data, and be ready to explain your methodology.
✨Understand the Research Context
Familiarise yourself with the specifics of the project on contraception demand in Nigeria. Understanding the broader implications of this research will demonstrate your genuine interest in the role and the impact of the work.
✨Prepare for Technical Questions
Expect questions that assess your technical knowledge in economics and research methodologies. Brush up on relevant theories and practices, and be ready to discuss how they apply to the tasks outlined in the job description.
✨Demonstrate Team Collaboration
This position requires close collaboration with principal investigators and survey partners. Be prepared to share examples of how you've effectively worked in teams, especially in research settings, and how you handle challenges that arise during projects.