Postdoctoral Scientist
Lead innovative research on biomarkers and disease mechanisms.
Best for:Ideal for researchers with a strong background in genomics and bioinformatics.
Overview
The University of Oxford is seeking a Postdoctoral Scientist to spearhead research focused on biomarkers and disease mechanisms related to RNUopathies, including ReNU syndrome. This role is situated within the Big Data Institute and the Institute of Developmental & Regenerative Medicine, where the successful candidate will collaborate with a multidisciplinary team. Responsibilities include conducting bioinformatic and statistical analyses of extensive genomic datasets, supervising students, and engaging with patient advocacy groups. The position offers a unique opportunity to contribute to groundbreaking research in rare diseases while developing a personal scientific profile.
What you'll do
- Lead bioinformatic and statistical analysis of large genomic datasets.
- Develop and implement novel analytical approaches as needed.
- Oversee the research project and collaborate with internal and external researchers.
- Supervise MSc and PhD students in their research activities.
- Ensure high standards of data quality, integrity, and documentation.
- Disseminate research findings through publications and presentations.
- Engage with patient advocacy groups and support public outreach activities.
Requirements
Degree required: PhD/DPhil in genomics, genetics, bioinformatics, biostatistics, or a related field
Language: English; proficiency required
Instruction: English
Publications: Track record of contributing to peer-reviewed publications
- Proficiency in programming languages such as R and/or Python
- Experience in managing day-to-day research activities independently
- Ability to deliver high-quality outputs within agreed deadlines
- Strong written and verbal communication skills
Funding & terms
How to apply
Deadline: 2026-10-29
Applications must be submitted online, including a supporting statement and CV. The supporting statement should detail how you meet the selection criteria with examples of your skills and experience.
- CV
- Supporting statement
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