Data Coordinator – Professor Crispin Miller
Project Title: CRC-STARS Data Coordinator
Salary: £35,846 to £55,816 subject to experience, plus relocation allowance and visa costs if required.
About us
A data coordinator position is available within a newly established Data Science Team at the CRUK Scotland Institute. The Institute is a world leading cancer research institute situated in the vibrant city of Glasgow. It hosts approximately 60 researcher scientists at any one time. The Institute has an excellent reputation for fundamental cancer research, including world-class metabolism studies and renowned in vivo modelling of tumour growth and metastasis.
Project outline
The Data Science Team at the CRUK Scotland Institute is a newly established team focused on the management and sharing of multimodal data arising from pre-clinical and clinical datasets. The team is building data platforms to support the capture of consistent high-quality metadata, and the sharing of raw and processed molecular and imaging data according to FAIR principals. The team is part of a multidisciplinary, international endeavour that connects world-class cancer research teams, enabling them to build critical infrastructure and deliver a transformative programme of pre-clinical and clinical research, and to share new knowledge quickly with global partners.
CRC-STARS is an innovative, ambitious, consortium-led programme which will use large scale patient and model derived datasets to address the problem of cancer cell plasticity in response to treatment. This project aims to use genomic, transcriptomic and spatial data to map tumour responses in pre- and post-treatment patient biopsies. These will be aligned with advanced in vivo models, to further our understanding of therapeutic responses, and ultimately to improved treatment available to patients in the future.
A position is available for a data coordinator to join our data science team to focus on the capture and sharing of multimodal data arising from CRC-STARS. The successful applicant will have a track record working with controlled vocabularies, data dictionaries and models such as OHDSI OMOP.
The post will focus on coordinating the collation, data modelling, and dissemination of multiomics data arising from CRC-STARS. This will involve joining a data modelling and bioinformatics team developing tools and processes to support comparative-multiomics analysis, the upload of data into public genome repositories and data portals, alongside the design and implementation of workflows that encapsulate multiomics data and their associated clinical annotation in R/BioConductor objects. These will be used to support data exchange between computational biologists and bioinformaticians around the world.
Essential criteria:-
- A PhD or Masters degree in a relevant field (e.g., bioinformatics, computer science),
- Significant experience working with Common Data Models (CDMs) such as OMOP.
- A commitment to data quality.
- Demonstrable ability to write substantial bodies of code in R and Python.
- Excellent communication skills and an ability to work in inter-disciplinary research environment.
- Strong organisational skills and the ability to work concurrently on multiple projects.
- A desire to see the output of their work translated into real-world impact.
For informal enquiries, please email c.miller@crukscotlandinstitute.ac.uk
Equality, Diversity and Inclusion
Our overarching research ethos at the Institute is about excellence, honesty, openness, accountability and integrity. The diversity of our staff and students is also what makes the Institute such a vibrant place to work and advance discoveries in cancer research. Family friendly policies, our collaborative ethos, a focus on good mental health and well-being and opportunities for all help to create an enjoyable and inclusive workplace where your voice matters.
The Institute is also committed to increasing the number of female scientists at the postdoc level and beyond and encourages female applicants to apply. We have recently introduced a highly attractive maternity policy which provides 12-18 months support and funding for researchers wishing to take time off to spend with their children amongst other family friendly policies.
Employee Benefits
- Competitive salary
- 40.5 days annual leave including bank holidays (FTE)
- Defined contribution pension scheme
- Free life assurance scheme
- Employee Assistance Programme
- Interest free season ticket loans
- Additional maternity pay for 6 months at full salary
- Shared parental leave including up to 6 weeks paid at full salary
- Cycle to work scheme saving tax and NI on cycle purchase and spreading repayments over up to 12 months
- Access to employee benefit schemes with discounts on supermarkets, cinema, travel and much more.
- On-site secure parking
Closing Date: 28 February 2025
