AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

Are you a dedicated, enthusiastic, and talented early-stage scientist in the field of Data Science? Do you have expertise in any area of Data Science including population genomics, bioinformatics and multi-omics, single cell and spatial biology, systems medicine as well as artificial intelligence or their combination? If so, this is your opportunity to join the Centre for Haematology in the Department of Immunology and Inflammation, where we offer exciting academic opportunities within an integrated and supportive environment.

WHAT YOU WOULD BE DOING

As Lecturer in Data Science in Haematology, you will be expected to develop a competitive, independent line of research as well as develop synergy with the existing PIs and research groups in the Centre and foster collaboration within Imperial. You will have ample opportunity to work with highly complex research datasets in the areas of population genetics and genomics, epigenomics (Karadimitris, Crump, Feldhahn, Agrawal Singh, Chaidos), metabolomics (Burt), imaging (Lo Celso, Burt), advanced cell biology and mouse genetics (Lo Celso, Iskander), biochemistry and structural biology (Crawley, McKinnon, Ahnström, Jayakody Arachchillage), immunotherapy (Karadimitris) and immunogenetics (Cooper) as well as clinical datasets of patients with rare diseases such as DBA (Iskander) and ITP (Cooper).
You will have the scope to interact with clinical programmes in the Division of Haematology at Imperial NHS Trust, as well as other NHS Trusts. This includes the field of stem cell transplantation and CAR-T/CAR-iNKT immunotherapy, in which clinical variables including deep phenotyping, single cell and immunogenetic analyses could be used to stratify patients or investigate mechanisms of response and/or resistance to therapy.
Depending on your specific interests, you will be affiliated with the appropriate data science hubs within Imperial.
As well as develop new research initiatives, you will also supervise, train and mentor staff and students at the highest scientifically rigorous levels, and will make active contributions to the management of staff and research resources with the Department.