Research Associate/Fellow (Fixed-Term, Part-Time) (MED275225)

Karlstad University; Nottingham; On-site; GBP 30,000 - 45,000; Part time

Job summary

A leading research university is seeking a Research Associate/Fellow for a fixed-term part-time role in respiratory medicine. The candidate will utilize large datasets to analyze lung cancer in non-smokers, aiming to identify barriers to early diagnosis. Key responsibilities include planning research, analyzing data, and publishing findings. Ideal candidates will hold a PhD or equivalent, have data analysis experience, and knowledge in lung cancer research. The position offers generous benefits including health facilities and competitive holiday allowance.

Benefits

Fitness and health facilities

Staff discounts

Travel schemes

Competitive holiday allowance

Attractive pension scheme

Qualifications

• Practical data analysis experience using CPRD or equivalent datasets.
• Experience in developing new approaches or models.
• Knowledge or experience in lung cancer research is desirable.

Responsibilities

• Plan and conduct research using appropriate approaches and methodologies.
• Analyze large UK primary care datasets linked to cancer records.
• Provide a detailed description of LCIPNS patients for early detection insights.
• Identify factors that improve predictions of LCIPNS.
• Publish research findings and present at conferences.

Skills

Data analysis using CPRD or equivalent

Developing new methods using primary care data

Knowledge in lung cancer research

Education

PhD or equivalent in relevant field

Job description

Research Associate/Fellow (Fixed-Term, Part-Time) (MED275225)

An exciting opportunity has arisen for a researcher to join respiratory medicine in the Translational Medical Sciences Unit at the University of Nottingham. The post is available as part of a grant funded by the Ruth Strauss Foundation. You will use large datasets to look at lung cancer in people who have never smoked (LCIPNS). The aim of this study is to understand more about this patient group and identify barriers to early diagnosis.

Responsibilities

• Plan and conduct research using appropriate approaches, methodologies, and techniques.
• Analyze large United Kingdom primary care datasets (e.g., CPRD) linked to cancer records.
• Provide a detailed description of LCIPNS patients and explore events in the two years prior to diagnosis to identify opportunities for earlier detection.
• Identify factors that could improve predictions of LCIPNS and inform screening selection.
• Write up research findings for publication, including presenting at conferences.

Qualifications

• Practical experience of data analysis using CPRD or equivalent primary care datasets.
• Experience developing new approaches, models, techniques, or methods using primary care data.
• Knowledge or experience in lung cancer research (publications, posters, or presentations desirable).
• PhD or equivalent in computer science, mathematics, statistics, epidemiology, or equivalent professional qualifications and experience in research; or near completion of a PhD.

Benefits and Employment

The University of Nottingham provides generous employment packages and supports staff well‑being, offering fitness and health facilities, staff discounts, travel schemes, competitive holiday allowance, and an attractive pension scheme.

Contract Details

• Fixed‑term contract until 01/02/2027.
• Part‑time hours: 10–20 hours per week (specify preferred hours in application).

Contact

If you are interested, please apply now and submit a copy of your CV. For informal enquiries, please contact Emma O'Dowd at [email protected]. Please note that applications sent directly to this e‑mail will not be considered.

Closing Date

18 Dec 2025

Legal Statement

The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.