The post holder will develop new methods for quantifying behaviour to improve the power of genome wide association studies for behaviour and to predict the mechanism of action of new neuro-active drugs. Plan and carry out research in accordance with the project aims. Write clear well-commented code and contribute to shared repositories on GitHub. Attend project and related research group meetings. Interact and collaborate with group members. Publish results in peer-reviewed journals. Form good working relationships with other members of the group as well as internal and external collaborators
Master’s degree (or equivalent experience) in physical sciences, engineering, mathematics, computer science, or similar
Research Assistant LMS - 812 Open Date 10/04/2018 15:25 Close Date 03/05/2018 23:55 Research Institute UKRI MRC London Institute of Medical Science Research Institute / Unit Information The London Institute of Medical Sciences is an Institute funded by the MRC and is linked with the Faculty of Medicine, Imperial College. Based on the Hammersmith Hospital Campus in West London (W12), the LMS has first class facilities and provides investigators from clinical and basic science backgrounds with the opportunity to pursue innovative, multidisciplinary research within the established clinical base of Imperial College. For more information, visit www.lms.mrc.ac.uk . UK Research and Innovation 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 Band MRC - 5 Location London Salary £27,077 - £30,852 pa inclusive Contract Type Fixed Term Job Type Technical & Scientific Professionals Full Time / Part Time Full Time Contract Length 1 year Job Description Overall purpose: The Behavioural Genomics group is headed by Dr André Brown in the Integrative Biology section of the MRC London Institute of Medical Sciences. The group’s research is aimed at understanding how genome variation affects behaviour, with an emphasis on how high-throughput imaging and quantitative analysis can open new ways of exploring the genotype-phenotype map. For more information, see the group’s website at http://behave.lms.mrc.ac.uk/ . Current areas of research include new representations of complex phenotypes such as behaviour and the development of new imaging systems to record video of freely behaving worms with high-throughput and resolution. Increasingly, we are also using this technology for whole-animal drug screens. The post holder will develop new methods for quantifying behaviour to improve the power of genome wide association studies for behaviour and to predict the mechanism of action of new neuro-active drugs. Main duties / key responsibilities: Plan and carry out research in accordance with the project aims Write clear well-commented code and contribute to shared repositories on GitHub Attend project and related research group meetings Interact and collaborate with group members Publish results in peer-reviewed journals Form good working relationships with other members of the group as well as internal and external collaborators Person Specification Education / Qualifications / Training required: Essential: Master’s degree (or equivalent experience) in physical sciences, engineering, mathematics, computer science, or similar. Desirable : Training in machine learning including deep learning Training in good programming practices Previous work experience required: Essential: Experience analysing complex datasets (selecting the right methods, implementing them, and testing their performance) Knowledge and experience: Essential: Expertise in at least one programming language Good written and verbal communication skills Desirable: Expertise in Python Expertise in deep learning software (e.g. Tensorflow or PyTorch) Personal skills/behaviours/qualities: Essential: Motivation Creativity Diligence Ability to work in a collaborative research environment Willingness to give and receive help with challenging problems Good interpersonal skills Willingness to share knowledge and transfer skills to other members of the group on a daily basis The MRC is a great place to work and progress your career, be it in scientific research or the support functions. The MRC is a unique working environment where our researchers are rewarded by world class innovation and collaboration opportunities that the MRC name brings. The MRC is an excellent place to develop yourself further and a range of training & development opportunities will be available to you, including professional registration with the Science Council. Choosing to come to work at the MRC (part of UKRI) means that you will have access to a whole host of benefits from a defined benefit pension scheme and excellent holiday entitlement to access to employee shopping/travel discounts and salary sacrifice cycle to work scheme, as well as the chance to put the MRC and UKRI on your CV in the future. Our success is dependent upon our ability to embrace diversity and draw on the skills, understanding and experience of all our people. We welcome applications from all sections of the community irrespective of gender, race, ethnic or national origin, religion or belief, sexual orientation, disability or age. As "Disability Confident" employers, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy. Final appointments will be subject to pre-employment screening.
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