At a Glance
- Tasks: Join the Young Lives team to develop impactful surveys and research on child poverty.
- Company: Oxford Department of International Development, a leader in global development research.
- Benefits: Full-time role with potential for extension, fostering professional growth and collaboration.
- Other info: Inclusive environment promoting equality and diversity, with excellent career development opportunities.
- Why this job: Make a real difference in child poverty research while working with diverse teams.
- Qualifications: PhD/DPhil in economics or relevant field, strong analytical and STATA skills required.
The predicted salary is between 29250 - 35750 £ per year.
Oxford Department of International Development, Queen Elizabeth House, 3 Mansfield Road, Oxford OX1 3TB.
The Oxford Department of International Development is seeking to recruit a Quantitative Research Officer to work as part of the Young Lives research team, supporting the development of the Young Lives Round 8 survey and agreed research priorities.
The post holder will be expected to work collaboratively with researchers and policy staff in Oxford and the four Young Lives study countries.
This post is full-time and fixed term for two years with the potential to extend depending on further funding.
The successful candidate will hold, or be close to completion of, a Ph D/DPhil in economics or another relevant quantitative social science discipline, with strong skills in quantitative child poverty research.
They will have excellent analytical and statistical skills, strong STATA skills, and experience in analyzing survey/panel data (preferably household surveys for developing countries).
Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent Young Lives at meetings are essential to this role.
At ODID we embrace and cherish our differences, and endeavour to be considerate and welcoming of all.
You are most welcome at ODID, without the need to hide any part of who you are.
We acknowledge societal inequalities and how these affect us, and those around us, personally and professionally.
We hold an Athena Swan bronze award in recognition of our efforts to introduce organisational and cultural changes which promote equality, cherish diversity and create a better working environment for all.
We are also taking active steps to promote race equality and reduce the risk of bias and discrimination.
We work together to enrich, fortify and grow our community and dedicate our combined efforts to teaching and research to increase our impact and influence in development debates at the national and global level.
We encourage all eligible candidates to apply for our vacancies and join us in pursuing our goals.
Applications for this vacancy are to be made online. You will be required to upload a supporting statement and a CV as part of your online application.
Please note that only the CV and supporting statement will be considered; any other documents uploaded will not be reviewed as part of the shortlisting process.
#J-18808-Ljbffr
Quantitative Research Officer (Post-doc), Young Lives in Oxford employer: Environment for Development
The Oxford Department of International Development offers a dynamic and inclusive work environment where diversity is celebrated, and every voice is valued. As a Quantitative Research Officer, you will have the opportunity to contribute to impactful research on child poverty while collaborating with a global team dedicated to making a difference. With a strong commitment to employee growth and a supportive culture, ODID is an excellent employer for those seeking meaningful and rewarding work in the heart of Oxford.
Contact Details:
Environment for Development Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Officer (Post-doc), Young Lives in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Environment for Development!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Research Officer (Post-doc), Young Lives at Environment for Development.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Environment for Development.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Research Officer (Post-doc), Young Lives at Environment for Development, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Research Officer (Post-doc), Young Lives in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Environment for Development, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Environment for Development. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Environment for Development
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Environment for Development!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
