At a Glance
- Tasks: Join the NICOLA team to analyse and interpret data for impactful ageing studies.
- Company: Be part of a leading research initiative in Northern Ireland focused on ageing.
- Benefits: Gain valuable experience, develop analytical skills, and contribute to meaningful research.
- Other info: Flexible hours and opportunities for professional growth in a dynamic research environment.
- Why this job: Make a difference in understanding ageing while enhancing your data analysis expertise.
- Qualifications: Degree in mathematics or related field with strong quantitative skills required.
The predicted salary is between 30000 - 40000 £ per year.
About the job: The post holder will be an active member of the Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) team, assisting in the planning and delivery of routine and ad-hoc NICOLA data and statistics, supporting analyses of study findings.
Provide data analysis and interpretation using data analytics software such as R or Stata and prepare outputs for reporting.
About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential critieria: Degree or equivalent in mathematics, (bio)statistics, (bio)informatics or relevant subject area in which quantitative skills are evident.
Relevant experience to include: Experience of analysing and interrogating large datasets Experience of R, STATA or equivalent for data management and analysis Proven analytical skills Willingness to work irregular hours when required.
To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.
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Research Assistant / Data Analyst, School of MDBS in Belfast employer: Queens University
As a Principal Engineer at Momentum One Zero, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of ML/AI engineering in exciting fields like digital health and agri-food. Our collaborative work culture fosters creativity and professional growth, offering ample opportunities for skill development and career advancement in a supportive environment. Located in a vibrant area, we provide a unique chance to engage with industry partners while contributing to impactful projects that make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant / Data Analyst, School of MDBS in Belfast
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We think you need these skills to ace Research Assistant / Data Analyst, School of MDBS in Belfast
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 Queens University, 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 Queens University. 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 Queens University
✨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 Queens University!
✨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.
