Beatson Lab: Le Quesne group (Deep phenotyping of solid tumours)
Project Title: Discovery of lung cancer tumour biology in large cohorts using RNASeq data
Salary: from £32,868 to £42,717 subject to experience, plus relocation allowance and visa costs if required.
Contract term: Fixed up to 6 years, subject to successful review at Year 3
The CRUK Beatson Institute is a world leading cancer research institute, situated in the vibrant city of Glasgow in Scotland and hosting approximately 60 postdoctoral researcher scientists at any one time. It has an excellent reputation for fundamental cancer research, including world-class tissue research facilities and renowned in vivo modelling of tumour growth and metastasis.
We are seeking a passionate and motivated bioinformatician to work within the Le Quesne group at the Beatson institute. We use large collections of archival human and animal model tissues, with abundant linked molecular data, to answer fundamental and translational questions about tumour biology. We focus on lung cancer and malignant mesothelioma, which are both areas of intensive study in the city.
We have a vacancy for a team member with expertise in the analysis of RNASeq data to answer biological questions in lung cancer. We are using RNASeq datasets (bulk RNASeq as well as spatial transcriptomic data) to infer the molecular basis of processes such as immune system engagement, tumour cell morphology and behaviour, and signalling pathway activity in real tumour tissue. Our aims include the improved biological classification of common cancers, the discovery of recurrent naturally selected programs of gene activity linked to cancer hallmark phenotypes, and the development of these mechanisms as therapeutic targets.
Our sequencing data from large tissue cohorts are paired with comprehensive patient information and the very latest in high-plex histopathological imaging, enabling us to apply accurate orthogonally derived annotations (eg patient survival, microscopic immune system infiltration/engagement, hormone signalling pathway activation, invasiveness) for supervised analytical approaches.
The successful applicant will work closely with other team members; interactions both with members generating sequencing data, patient data, and image-derived data (eg clinicians, pathologists, research histologists) and with scientists modelling and biologically validating their findings (computer scientists, molecular biologists) will be crucial to success in our research goals. We are also active in several deep learning projects, and there is scope for involvement in deep learning projects combining image and RNASeq data.
You will have a PhD in a relevant field, and substantial experience with handling and analysis of RNASeq data. Skills in Python/R, and experience with gene ontology methods (eg GSEA, topic analysis) and basic cancer biology are essential. Understanding of quantitative image analysis, spatial biology (e.g. nanostring platforms), agent-based modelling, survival modelling, and deep learning as applied to images would be useful to aid collaborative work but are less essential.
To find out more about this unique opportunity to establish advanced skills and expertise in this exciting field please contact: Professor John Le Quesne, firstname.lastname@example.org.
Postdocs are key members of our research community, and we offer them a range of opportunities to train and develop as researchers while they are with us:
Exciting, innovative cancer research projects in state-of-the art labs
A highly collaborative and interactive research environment
Access to and training in key advanced technologies, for example imaging and in vivo modelling
A mentor enabling scheme to aid personal and professional development
A rich programme of scientific exchange through seminars, workshops and meetings
Support to make fellowship and small grant applications, including during their transition to their next position
Guidance and mentoring to compete for an independent scientist position as well as a multitude of other career options, including in industry.
A highly engaged postdoc forum, providing peer support, training, careers advice and regular social events
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 a highly attractive maternity policy which provides 12-18 months support and funding for postdocs wishing to take time off to spend with their children amongst other family friendly policies.
- Competitive salary
- 40.5 days annual leave including bank holidays (pro-rata)
- Defined Contribution pension scheme
- Life Insurance scheme
- Employee Assistance Programme
- Season ticket loan
- Additional maternity pay at 6 month’s full pay (subject to service)
- Shared parental leave
- Cycle to work scheme that could save you 26-40% on a bike and accessories.
- Access to Employee benefit schemes with discounts on supermarkets, cinema, travel and much more.
- On-site secure parking
Closing Date for Applications: 12th February but we will contact promising candidates on a rolling basis, so please apply as soon as you are ready.