Starting Salary £30,914 - £39,381 per annum
Fixed Term until 31st December 2024
MRC Laboratory of Molecular Biology, Cambridge, UK
We have two Investigator Scientist positions available (to be filled as soon as possible), for an experienced and highly motivated computational human geneticist and a computational biologist in the group of Dr M Madan Babu at the MRC Laboratory of Molecular Biology in Cambridge, UK. These posts will be part of a newly established Centre for Adipocyte Signaling (ADIPOSIGN) funded by a recent major grant from the Novo Nordisk Foundation. ADIPOSIGN is run by four partners with highly complementary expertise in the fields of adipocyte biology, transcriptional regulation, signal transduction, physiology, and computational systems biology.
The position will involve some traveling for collaborative purposes. You will be working in a dynamic and highly collaborative environment, and will be expected to communicate complex principles, methods, analyses and results to scientists from diverse backgrounds in the consortium. You will enjoy a rich and collaborative intellectual environment and interactions with a dynamic interdisciplinary team working on a variety of topics, both computational and experimental within the LMB and through the ADIPOSIGN consortium.
The MRC Laboratory of Molecular Biology is a research institute within UK Research and Innovation (UKRI). UKRI is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, more information can be found at www.ukri.org.
Working for UKRI MRC provides a whole host of benefits including a defined benefit pension scheme, excellent holiday entitlement (40 ½ days including bank holidays & privilege days) and Benenden Healthcare membership. You will also have access to employee shopping/travel discounts, on site sport and social facilities, as well as salary sacrifice cycle to work schemes and childcare vouchers.
For the computational human geneticist you will have a PhD in computational genetics/genomics or human statistical genetics with post-doctoral experience and a proven track record in analysing diverse human genetics and genomics datasets. Your primary role as a computational human geneticist will be to identify, develop, implement and use computational genomics methods to integrate, mine, visualize and analyse multiple large-scale molecular omics and natural variation datasets for hypothesis generation and creation of network models of obesity. You will develop computational pipelines and machine learning approaches to analyse genome sequences in order to quantify obesity risk and predict its effects.
For the computational biologist you will have a PhD in computational biology/bioinformatics/systems biology/network biology with extensive post-doctoral experience and proven track record in integrative systems biology and multi-omics network biology. Your primary role as a computational biologist will be to identify, develop, implement and use computational biology methods to integrate, mine, visualize and analyse multiple large-scale omics datasets for hypothesis generation and creation of network models of obesity. You will establish computational pipelines to organise and interrogate multiple omics datasets as well as develop and maintain a community web resource for the consortium.
To apply and access full details of the vacancy please visit our job board at mrc.tal.net/vx/lang-en-GB/appcentre-ext/brand-3/user-24/xf-69dbe7ddb1ef/wid-3/tmpwid-7c20_1d396251-2252-4867-8a5b-3b9423c960ff/candidate/jobboard/vacancy/1/adv/
If you are unable to apply online please contact us at email@example.com.
Closing date: 21st July 2019