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- Tasks: Join a team to analyse mental health data and support research projects in Colombia.
- Company: UCL's Dept of Clinical Psychology focuses on impactful mental health research and collaboration.
- Benefits: Enjoy 41 days holiday, a pension scheme, gym access, and more perks!
- Why this job: Make a difference in mental healthcare while developing your skills in a supportive environment.
- Qualifications: Post-doctoral experience in statistical analysis, R programming, and mental health data science required.
- Other info: Fluency in English and Spanish is a plus; flexible start date in June 2025.
The predicted salary is between 36000 - 60000 £ per year.
The UCL Dept of Clinical Psychology is seeking a research fellow to join a project on identifying barriers to mental healthcare for civilians affected by protracted armed conflict in Colombia, funded by the ESRC and conducted in collaboration with the Population Health Research Department of La Fundación Santa Fe de Bogotá.
In collaboration with colleagues in Colombia, the Research Fellow will support analytic projects led by the project team using data from services supporting civilian victims of the armed conflict in Colombia and national epidemiological studies to identify predictors of outcome and treatment access. The post holder will also support the teaching of statistical techniques to collaborators and students linked to the research group. There will also be opportunities to lead small research projects with support from research group members. This is a fixed-term 5-month role in the first instance.
We are looking for a post-doctoral researcher to conduct statistical analyses on existing datasets. The candidate must support data management of large healthcare datasets, be fluent in programming in R, and have advanced statistical analysis skills. Experience or willingness to learn geospatial analysis is required. Essential experience includes statistical modelling, epidemiology, and/or mental healthcare data science. The candidate will lead the write-up of analyses for peer-reviewed publications and present findings at meetings and conferences. They must work closely with collaborators, staff, students, and project team members with lived experience of the armed conflict to support the project as needed. Ability to work in English and Spanish is desirable.
Interviews will take place between 12th & 15th May 2025, and candidates must be able to start around 1st June 2025.
Alongside the exciting opportunities this role offers, we provide a range of benefits (pro-rata):
- 41 days holiday (27 days annual leave, 8 bank holidays, 6 closure days)
- Additional 5 days' annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-site nursery
- On-site gym
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
As London’s Global University, we recognise that diversity fosters creativity and innovation. We aim for our community to reflect the diversity of the world’s talent and are committed to equality of opportunity, fairness, and inclusivity. We particularly encourage applications from candidates who are underrepresented at UCL, including those from Black, Asian, and ethnic minority backgrounds; disabled people; LGBTQI+ individuals; and women in Grade 9 and 10 roles.
Research Fellow in Mental Health Data Science employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Mental Health Data Science
✨Tip Number 1
Familiarise yourself with the specific datasets and statistical methods mentioned in the job description. Understanding the nuances of mental healthcare data science and epidemiological studies will give you an edge during discussions with the interview panel.
✨Tip Number 2
Brush up on your R programming skills, especially in relation to data management and statistical modelling. Being able to demonstrate your proficiency in R during the interview can significantly boost your chances of landing the role.
✨Tip Number 3
If you have experience or interest in geospatial analysis, be prepared to discuss how you could apply this to the project. Showing a willingness to learn and adapt can make you a more attractive candidate.
✨Tip Number 4
Highlight any previous collaborative projects you've worked on, especially those involving diverse teams or communities. This role requires working closely with various stakeholders, so demonstrating your teamwork skills will be crucial.
We think you need these skills to ace Research Fellow in Mental Health Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in mental health data science, statistical analysis, and programming in R. Emphasise any previous work with large healthcare datasets and your ability to conduct statistical modelling.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the project. Discuss your experience with epidemiology and mental healthcare data science, and mention your willingness to learn geospatial analysis if you haven't already.
Showcase Your Communication Skills: Since the role involves collaboration and teaching, highlight your communication skills. Provide examples of how you've effectively communicated complex statistical concepts to non-experts or worked in diverse teams.
Prepare for Interviews: Research the UCL Dept of Clinical Psychology and the specific project on mental healthcare in Colombia. Be ready to discuss your analytical approach, past research experiences, and how you would contribute to the team and support collaborators with lived experience.
How to prepare for a job interview at UCL
✨Showcase Your Statistical Skills
Be prepared to discuss your experience with statistical modelling and data analysis. Bring examples of past projects where you've successfully applied these skills, especially in mental healthcare or epidemiology.
✨Demonstrate Collaboration Experience
Highlight any previous work where you collaborated with diverse teams, particularly in research settings. Emphasise your ability to work closely with colleagues and stakeholders, especially those with lived experiences.
✨Prepare for Technical Questions
Expect questions about R programming and geospatial analysis. Brush up on your technical knowledge and be ready to explain your approach to data management and analysis in detail.
✨Cultural Sensitivity and Language Skills
If you speak Spanish, mention it! Discuss how your language skills can enhance communication with Colombian collaborators. Also, show awareness of cultural sensitivities related to the armed conflict context.
