Research Associate in Computational Biology: Imperial College London is seeking a highly skilled Research Associate to leverage computational biology techniques in the field of gestational trophoblastic disease. The successful candidate will conduct vital research to identify biomarkers that can improve patient management and treatment outcomes for rare tumours.
Designation:
Research Associate
Research Area:
Computational Biology, Oncology, Genomics
Location:
Hammersmith Campus, Imperial College London (On site only)
Eligibility/Qualification:
- A PhD in Computational Biology, Molecular Biology, Oncology, or Genetics with a strong emphasis on computational analysis.
- Experience in processing and analyzing genomic data using existing tools (e.g., EdgeR/DeSeq2 for RNA sequencing).
- Proficiency in programming languages such as R or Python for data analysis.
Job Description:
The Research Associate will be the lead researcher analyzing RNA sequencing and other omics data from tumour specimens associated with gestational trophoblastic disease. The role includes:
- Identifying markers and pathways that predict the malignancy of atypical placental site nodules (APSN).
- Analyzing data to understand the molecular mechanisms of resistance to treatments.
- Utilizing existing tools and developing new methodologies in collaboration with genomics experts.
- Contributing towards the discovery of new therapeutic targets and prognostic biomarkers for improved clinical management of patients.
How to Apply:
Interested candidates should submit their application and CV through the Imperial College London job portal. For further details, you may contact Dr. Geoffrey Maher at geoffrey.maher@imperial.ac.uk.
Last Date to Apply:
3rd July 2025
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