Research Associate - Senior Bioinformatician / Computational Biologist

Job description We are seeking to recruit a talented and enthusiastic expert with experience in next-generation sequencing data, particularly in single-cell transcriptomics. This is an exciting opportunity to join an interdisciplinary team of scientists working on a Wellcome Trust funded programme of research. The post holder will work on projects combining cutting-edge cellular / molecular models, computational approaches and clinical data. The postholder will be part of an interdisciplinary cross-cutting network, working together with research staff / academics, clinicians, and embryologists to support and undertake ground-breaking research involving big data. The post-holder will play a key role in setting up innovative inter-disciplinary strategies to analyse and integrate different -omics data sets, further amalgamating these with phenotypic data. The project will employ state of the art genomics, bioinformatics and applied statistical approaches in discovery research and the identification of functional pathways relevant to reproductive medicine and embryonic development. We are looking for an ambitious candidate with expertise in bioinformatics, dealing with multi-omics datasets and data integration. S/he will have solid programming skills, expert knowledge of scripting languages such as R and / or Python and proficiency in working on high-performance computing clusters. They will contribute to the overall regenerative medicine theme via participation in collaborative projects with scientists and other bioinformaticians in the host lab and the department. There will be further opportunities to interact with the KCL bioinformatics HAB (@HAB_KCL). The post will involve extensive collaboration with other researchers and the candidate will be expected to work as part of a team. The candidate will also be strongly encouraged to develop his / her own projects.   The postholder will report to Principal Investigator Dr. Mahesh Sangrithi (mahesh.sangrithi@kcl.ac.uk). For informal enquiries regarding suitability for the position, please contact the PI (mahesh.sangrithi@kcl.ac.uk ). Sangrithi Lab: https://www.kcl.ac.uk/research/reproductive-biology-and-stem-cells-lab We provide a highly stimulating environment with state-of-the-art infrastructure, and unique professional career development opportunities. To check out our training and development portfolio (training and development) We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity. About the Faculty: King’s College London Faculty of Life Sciences and Medicine is one of the largest and most successful centres for research and education in the UK. It consists of over 2000 staff and 5000 students within seven Schools and two Schools of Education. Centre for Gene Therapy and Regenerative Medicine (CGTRM) Department: (https://www.kcl.ac.uk/bmb/our-departments/centre-for-gene-therapy-and-regenerative-medicine) CGTRM is located on the Guy’s Hospital Campus in central London. It acts as a nucleus for vibrant research community spanning the entire University and the NHS Foundation Trusts of King’s Health Partners Academic Health Sciences Centre. The goal of CGTRM is to bring together researchers with diverse skill sets and a common interest in elucidating the extrinsic and intrinsic signals that regulate stem cell behaviour. Nikon imaging centre: https://www.kcl.ac.uk/research/facilities/nikon-imaging-centre  https://www.kcl.ac.uk/slcps/our-departments/department-of-women-childrens-health  https://www.kcl.ac.uk/slcps/our-departments/department-of-twin-research-genetic-epidemiology  Research Computing Infrastructure at KCL: [https://docs.er.kcl.ac.uk/ - kings-create] (https://docs.er.kcl.ac.uk/ - kings-create) https://www.nvidia.com/en-gb/industries/healthcare-life-sciences/cambridge-1/ This post will be offered on an a fixed-term contract for 1 year and extended based on satisfactory performance in post. This is a full-time post - 100% full time equivalent.