Warwick Computational Chemistry is currently hiring an Assistant Professor in machine learning/cheminformatics. More information can be found here.
Applications are invited for the post of Research Software Engineer within the Oxford Protein Informatics Group, http://opig.stats.ox.ac.uk/ (OPIG).
OPIG has developed a large number of world leading computational tools primarily in immunoinformatics which have proved to be of high interest to several pharmaceutical companies. These tools are open source and freely available to all users, academic and commercial. This open strategy has meant that the user base for the tools is broad both within academia and industry. Several of these tools have been taken in-house by pharmaceutical companies. This role is part of the team that supports these companies with deployment, maintenance, future developments, and integration with their own in-house systems and requirements.
Alongside working with the pharmaceutical companies, the postholder will carry out research and develop novel methodologies in at least one of the areas of research in OPIG.
This exciting position is unique within the University and will provide an unrivalled and privileged opportunity to interact directly with a highly productive academic group and many pharmaceutical companies.
More details can be found here:
Please share with anyone who may be interested. The closing date for applications is the 29th April, 2019.
Should you have any questions, please do not hesitate to contact:
Prof. Charlotte M. Deane,
Professor of Structural Bioinformatics & Head of Department,
Department of Statistics, University of Oxford, 24-29 St Giles’, Oxford, OX1 3LB, U.K.
Head of the Oxford Protein Informatics Group.
(From: Frank von Delft, DLS & SGC):
We are recruiting a software engineer (or scientific programmer, or geek-minded scientist, or scientifically-minded geek) to help us get a lot better at designing compounds from hits from crystallographic fragment screening.
The post is linked to the XChem facility at Diamond’s beamline I04-1, set up in partnership with the SGC-Oxford, which is now routinely hosting users every week, allowing them to find convincing fragment hits with a few days’ worth of experiments. In 2017, over 30 users measured over 35,000 crystals in academic and industrial XChem experiments.
To confront the next bottleneck, namely converting low potency fragments into high-potency compounds, we are setting up a suite of easily accessible computational tools that streamline the obvious yet surprisingly fiddly analyses by which to identify the most sensible follow-up compounds that are easy to make or procure.
The (initially) two-year post will, in a team of three and depending on interests, build infrastructure, harden existing algorithms or help evolve new ones, do web interface design, or any combination of the above.
The project is seeding a nascent effort, for now aspirationally code-named CCP-CMC (CompMedChem, http://www.ccp-cmc.org/), to bring the awesome collaborative ethos of CCP4 and other MX tools to computational medicinal chemistry.
Recruitment details are here: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=132678
Deadline is Monday, 29 January, 2018 (it’s wrong in the link).
Prof Frank von Delft
Principal Beamline Scientist: I04-1
Diamond Light Source
+44 1235 778997 (office: M,T,T)
+44 7471 026103 (mobile)
Principal Investigator: Protein Crystallography
Structural Genomics Consortium
+44 1865 617583 (office: W,F)
Oxford Drug Design is looking for a Computational Chemist interested in doing PhD (via the University of Buckingham), who will be funded by a Fellowship via the Horizon 2020 Marie Skłodowska-Curie Project CARTNET project.
For more details, see: