Personalized medicine, Machine learning, Genomics & Skin Disorders

Medical Sciences
United Kingdom
1 Jun, 2020 to 31 Aug, 2020
6 Mar, 2020

General information

3 months

Work Placement outline - we will consider applications from Master and Phd students, who will be joining an ongoing research project, working alongside with academic, researchers and PhD students.


This topic proposes a few projects that involve bioinformatics analysis and potentially applications of machine learning algorithms to High-Throughput DNA sequencing datasets generated in collaboration with biomedical and clinical researchers. Topics include personalized medicine, predicts response to treatment in patients with skin condition using genomics/proteomics profiles and clinical parameters data, development of prototype of web-based platform for biomedical big data analysis, development of scalable and reproducible bioinformatics workflows

These projects will benefit of collaborations with a multidisciplinary team of academic staff, post-doctoral researchers and PhD students from Centre for Skin Science Bradford Institute for Health Research, and possibly with clinical researchers from NIHR Leeds Biomedical Research Centre

These projects will give opportunities to learn and research and co-author research publications.


Activities Involved:

  • Review of current Literature and methodology.
  • Meetings with the PhD and academic staff
  • Weekly reports.
  • Design and implementation of a prototype
  • Documentation writing.
  • Project management using version control system



  • Prototype using Galaxy, Nextflow, Python, R, and other relevant software for processing biomedical data
  • Weekly progress reports. Report on the literature review; User Documentation; Final Report.



  • Programming/ software development experience
  • Familiarity or interest in bioinformatics, Unix, R, Python, Galaxy, Nextflow, will be a plus but opportunities to learn will be provided;
  • Students (UG/PG) should apply by submitting a CV, transcript of record and prove of English B2 level;
  • Selected applicants must be recipients of an Erasmus Grants;
No financial compensation
Years of Experience required: 
English: Independent User B2
Level of Studies: