Research Fellow or Senior Research Fellow in Population Health/Data Science/Genetic Epidemiology

UCL; London; On-site; GBP 44,000 - 64,000; Full time

Job summary

The UCL Division of Psychiatry seeks a Research Fellow or Senior Research Fellow to use large-scale datasets for mental health research. Candidates should have a PhD in relevant fields and experience in statistical analysis, with a focus on improving public health outcomes through rigorous research methodologies.

Benefits

41 Days holiday

On-site gym

Employee assistance programme

Electric car leasing scheme

Qualifications

• PhD in epidemiology, genetics, psychology, or similar required.
• Experience in statistical software tools.
• Interest in complex models for data analysis.

Responsibilities

• Undertake quantitative research using large-scale datasets.
• Plan and execute analyses and lead interpretation of results.
• Communicate findings to public health and clinical audiences.

Skills

Statistical analysis

Big data analysis

Programming in bash

Education

PhD in relevant discipline

Job description

About us

The UCL Division of Psychiatry, located within the Faculty of Brain Sciences, is a world-renowned centre of excellence in mental health research. Our mission is to improve mental health through cutting-edge research and education. By leveraging insights from basic science, we address clinical problems to improve patient outcomes and public health. Moreover, we take pride in delivering innovative teaching directly relevant to clinical practice and informed by our research. Join our team and help us drive forward the field of mental health research and education. This Wellcome funded research is a collaboration between the UCL Division of Psychiatry (Profs Neil Davies and Joesph Hayes), The Department of Psychology at the University of Bath (Profs Esther Walton), and the MRC Biostatistics Unit at the University of Cambridge (Dr Ville Varhunen). The post holder will work with a diverse international team of researchers using genetic data to discover the factors that affect cognitive impair in people with psychotic disorder. As such, this post is open to multiple disciplinary backgrounds, and training will be provided where required. The post holder will use a new Olink Explore HT proteomics genetic dataset from the Avon Longitudinal Study of Parents and Children (ALSPAC).

About the role

The post holder will undertake quantitative research using large-scale population level datasets. They will plan and execute analyses and lead the interpretation, write-up, and dissemination of results for communication to public health, educational, and clinical audiences. Appointment details: • The post is graded on the non-clinical research staff Pay Scale Grade 7 or 8, the annual salary ranges from £44,480 to £51,860 for Grade 7 and to £54,172 to £63,752 for Grade 8 per annum (including London Allowance). • The appointment is available immediately and is funded for two years in the first instance. Role-specific details: • Research Fellows - Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £38,607 - £41,255 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis. • Senior Research Fellows - Appointment at Grade 8 depends upon meeting the essential and desirable criteria in the job description

About you

You will have an PhD in a relevant discipline (e.g., epidemiology, genetics, genetic epidemiology, psychology, medical statistics, statistics, data science, econometrics, health informatics or similar), with a keen interest in applications on complex statistical, prediction and computational models to the analysis of large data sets. You are comfortable using statistical software tools and potentially have some experience running applications in large computer clusters and coding in bash. Application process: • A full job description and person specification can be accessed at the bottom of this page. • Please use the personal statement section to explain how you meet each essential and desirable criteria outlined in the person specification. • Please ensure your CV is no longer than 2 pages, and include published peer-reviewed papers. • Please do not upload any additional documents (transcripts, papers, or other reports). • Please do not upload your photograph on your application/CV. • The advert will close on 04/06/2025 at 23:59 GMT/BST, however we may close the advert early if we receive a high volume of applications. • Interviews will be held week commencing 07/07/2025 Contact details: • If you have any queries about the role, please contact Prof Neil Davies at [e-mail] or [e-mail]. • If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact [e-mail]

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 holiday and 6 closure days) • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Electric car leasing scheme • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance The full range of staff benefits can be found here: https://www.ucl.ac.uk/human-resources/pay-benefits/staff-benefits

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. The Division of Psychiatry prides itself for operating in an all-inclusive environment. Teamwork is highly valued, individual strengths are recognised and celebrated, and there is a commitment to advancing the careers of everyone, regardless of gender or role. We aim to provide a family friendly environment where both women and men feel able to take the time they need for family. The Athena SWAN Charter recognises commitment to advancing women's careers in science, technology, engineering, maths and medicine (STEMM) employment in academia and the Division is delighted to have an Athena Swan Silver Award since 2022. All staff are invited to contribute to EDI initiatives within the Division to contribute to improving working conditions and opportunities for all. Mentoring is a crucial part of supporting career progression and mentoring schemes are available for staff in the Division. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/psychiatry/about/equality-diversity-and-inclusion https://www.ucl.ac.uk/equality-diversity-inclusion/