DSIS reaches across three London campuses bringing together three major research departments: Targeted Intervention (Bloomsbury) Surgical Biotechnology (Royal Free), and Orthopaedics & Musculoskeletal Science (Stanmore). Within these departments are world class research centres, specializing in many different surgical and interventional specialties.
The UCL/UCLH Cancer 2.0 Translational Research and Surgical Innovation Programme and SSTR2 programme are flagship programmes of the newly established UCL/UCLH Cancer Biomarker Centre and funded by Genomics England (£600k) and the UCLH Charity grant (~£200k). The programme will deliver on long read sequencing of sinonasal cancers, skull base tumours and brain tumours with the aim to test the existing methylation classifiers using this advanced sequencing technology which allows genomic and epigenomic analysis at the same time and combine the data with digital pathology data and imaging data in the long-term.
About the role
We are seeking an enthusiastic and independent data scientist to join our interdisciplinary research programme within the Division of Surgery and Interventional Science. You will be working with a multidisciplinary team of clinician researchers, software engineers and electronic health record system specialists to support the following:
Conduct collaborative research to extract knowledge and insight from datasets using a variety of mathematical, statistical and computational approaches.
Develop software and scripts to implement these analyses in robust and reproducible ways.
Work with research infrastructure developers and Genomics England to deploy these into production.
Research Fellows – ‘Appointment at Grade 7 is dependent upon having been awarded a PhD.
Interview Date(s) TBC
A job description and person specification can be accessed at the bottom of this page. • If you have any queries about the role, please contact, Matt Lechner on firstname.lastname@example.org.
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Postgraduate qualification or equivalent professional expertise appropriate to the role.
Experience with the core tools of data science and analytics, in a programmatic framework such as R, Python or Julia.
Interest in innovative research method development and using digital software
Experience of building or managing dashboards (e.g., Tableau or Microsoft Power BI) would be advantageous.
What we offer
Exciting opportunities that this role presents, include some great benefits such as
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
Additional 5 days’ annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Relocation scheme for certain posts
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation. We want our community to represent the diversity of the world’s academic talent, from local to global. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates currently underrepresented in UCL’s academic, research and teaching workforce. These include: people from Black, Asian and ethnic minority backgrounds; disabled-people; LGBTQ+ people; and women.
The Division holds a silver award for the Athena Swan Charter which recognizes advancement of gender equality and aims for representation, progression and success for all. Further information on the Division can be found at https://www.ucl.ac.uk/surgery/