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- Tasks: Analyse national databases to improve mental health services for adolescents and their families.
- Company: Join UCL GOS ICH, a leader in children's health research.
- Benefits: 41 days holiday, pension scheme, on-site gym, and flexible working options.
- Why this job: Make a real difference in child health policy and research.
- Qualifications: MSc or PhD in relevant fields; experience with large datasets required.
- Other info: Hybrid working available; diverse and inclusive workplace.
The predicted salary is between 39148 - 52586 £ per year.
About us
Our mission is to maximise and advocate for the holistic health of all children, young people and the adults they will become, through world-class research, education and public engagement. The UCL GOS ICH, together with its clinical partner Great Ormond Street Hospital for Children, forms the largest concentration of children’s health research outside North America. The 2024-29 GOS ICH strategy focuses on its five scientific programmes. GOS ICH\’s activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. GOS ICH generates the funding for our research by setting out our proposals in high quality applications to public, charitable and industrial funding bodies and disseminates the results of our research by publication in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning programmes which address the needs of students and professional groups who are interested in and undertaking work relevant to child health. GOS ICH holds an Athena SWAN Charter Gold Award. Please only attach relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc.
About the role
The work has a particular focus on quantifying inequalities in utilisation of services related to mental health for adolescents and their families. The post-holder will conduct analyses of national administrative databases including the enhanced ECHILD database. The wider project aims and post are nested within the NIHR Children and Families Policy Research Unit (CPRU), which aims to conduct high-quality research to support the development of evidence-based policy to improve the health of children and families and to develop methods and data resources to improve the quality and timeliness of evidence for policy. The post-holder will also work collaboratively with the UKRI Population Mental Health Improvement Consortium to undertake research activities aiming to improve early intervention and address inequalities in population mental health. The post holder will have responsibility for designing and delivering the analyses, writing journal papers and other activities and outputs commensurate with the grade. The post-holder will have responsibility for presenting the study to diverse audiences including representatives from DHSC, funders, the public, and our practice, policy and academic research audiences. The post holder may be required to contribute to ad hoc responsive requests for research from DHSC (up to 20% of time). Experience with one or more of the administrative databases within ECHILD would be an advantage. The salary offered is at either grade 6B: £39,148 – £41,833 per annum or grade 7: £45,103 – £52,586 per annum depending on qualifications and experience and is funded until 30/09/2027 in the first instance. This role is eligible for hybrid working with a minimum of 40% (two days a week) on site. We will consider applications to work on a part-time, flexible and job share basis wherever possible.
About you
The successful applicant will have experience in the following:
- MSc (PhD required for G7) in relevant discipline (e.g. epidemiology, statistics, health informatics) or equivalent experience
- Large and longitudinal administrative dataset data management and curation (e.g. Hospital Episodes Statistics, National Pupil Database, Mental Health Services Data)
- Quantitative skills in analysing large longitudinal administrative data, including regression analysis
Required skills:
- Advanced skills in at least one statistical software package (e.g. STATA, R)
- Quantitative skills in analysing large longitudinal administrative data, including regression analysis
- Excellent organisational skills with ability to manage multiple priorities at the same time and the ability to work independently, and collaboratively across diverse disciplines
- Writing, presenting and explaining technical and/or scientific reports to scientific and lay audiences
What we offer
As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:
- 41 Days holiday (including 27 days annual leave, 8 bank holidays and 6 closure days)
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL\’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
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Research Assistant / Research Fellow in Epidemiology/Data Science employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant / Research Fellow in Epidemiology/Data Science
✨Tip Number 1
Network like a pro! Reach out to people in the field of epidemiology and data science. Attend relevant events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work with large datasets and any analyses you've conducted. This will give potential employers a taste of what you can bring to the table, especially when it comes to quantifying inequalities in mental health services.
✨Tip Number 3
Practice your pitch! Be ready to explain your research and findings clearly to diverse audiences. Whether it's a casual chat or a formal presentation, being able to communicate your work effectively is key to landing that role.
✨Tip Number 4
Apply through our website! We want to see your application directly. Make sure to tailor your CV and cover letter to highlight your experience with administrative databases and statistical software. Let’s get you on board!
We think you need these skills to ace Research Assistant / Research Fellow in Epidemiology/Data Science
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in epidemiology and data science. We want to see how your skills align with our mission at GOS ICH, so don’t hold back on showcasing your achievements!
Keep It Concise: While we love detail, it’s important to be succinct. Stick to the point and avoid unnecessary fluff. Remember, we’re looking for clarity and relevance in your application, so make every word count!
Showcase Your Skills: Don’t forget to emphasise your quantitative skills and experience with large datasets. If you’ve worked with administrative databases like ECHILD, let us know! We’re keen to see how you can contribute to our research.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your documents reach us directly and are considered promptly. Plus, it’s super easy to do!
How to prepare for a job interview at UCL
✨Know Your Data Inside Out
Make sure you’re familiar with the types of administrative databases mentioned in the job description, especially the ECHILD database. Brush up on your experience with large datasets and be ready to discuss specific examples of how you've managed and analysed data in the past.
✨Showcase Your Statistical Skills
Since advanced skills in statistical software like STATA or R are crucial, prepare to demonstrate your proficiency. You might be asked to solve a problem or explain your approach to data analysis, so have some examples ready that highlight your quantitative skills.
✨Communicate Clearly
You’ll need to present your findings to diverse audiences, so practice explaining complex concepts in simple terms. Think about how you would convey your research to both scientific and lay audiences, and be prepared to showcase your writing and presentation skills.
✨Align with Their Mission
Familiarise yourself with the UCL GOS ICH’s mission and values. Be ready to discuss how your work can contribute to their goal of improving child health and addressing inequalities. Showing that you understand and resonate with their mission can set you apart from other candidates.