The Computational Mathematical Modeller will be required to provide specialist expertise implementing and developing inferential statistical and mathematical models as high performance computer programs. These will improve the efficiency of decision making in emergency health operations, such as infectious disease outbreaks and support the work of the Emergency Preparedness and Response Health Protection Research Unit.Working as part of an integrated multidisciplinary team and with external collaborators you will be a team player with strong programming (and associated code development skills), a mathematical background, and possess good report writing with an awareness of modelling infectious disease processes. The successful candidate will be required to apply for, and obtain, UK Security Clearance.Day to day duties -Assess, develop and implement appropriate inferential statistical and mathematical models as computer programs to underpin the decision support tools that might be relevant to future UK public health, including those posed by bioterrorism.To support the modelling group by writing, documenting, and quality assuring scientific code.To support partnerships and attend meetings and teleconferences, focussing on delivery of the theme business plan.To interact with non-technical partners (including medical advisors and epidemiologists) ensuring they understand the outputs provided and the limitations and uncertainty on the outputs, sometimes taking a lead on this interaction as delegated by Principal Modeller.To enhance the science base in this field by publication of findings and presentation of data in publications and at conferences, subject to appropriate IP protection and sufficient funding.Keep up to date in the application, use and research in the area of epidemic statistical modelling and reverse epidemiology, including liaison with key players.Assist in funding applications as appropriate, proactively leading grants in areas of responsibility.To communicate with the Scientific Programme Leader and other project team members on all scientific and operational issues, and a range of other expert internal/external contacts (ERD, Other PHE centres, Dstl, etc.) attending meetings as necessaryTo address objectives agreed at appraisal interviewUndertake work in accordance with PHE policies and procedures for Health & Safety and QualityPerform any other duties of a similar nature agreed and assigned by the line manager or any individual authorised by them.Experience/skills required -Degree in mathematics/statistics/computing or related discipline involving high mathematical/statistical content (or significant experience of working at a similar level in a specialist area).Higher degree or substantially equivalent experience in the application of mathematical computational modelling or statistics (preferably PhD) (desirable)Experience in the production of high quality computer code to support scientific research and/or rapidly evolving business needs.Particular interest in the application of computational modelling to epidemiology, microbiology, or other biological sciences.Postgraduate practical experience in one or more of the following areas: Mathematical model development, Spatio-temporal models, numerical methods and simulation, sensitivity and scenario analysis, ecological or environmental modelling, health economics, remote sensing, demographic modelling, Bayesian statistics.Experience or interest in one or more of the following areas: Monte Carlo and stochastic simulation techniques, Operational Research, probability distribution theory, Parameter Estimation, Epidemiology, predictive modelling, spatial statistics.Demonstrable experience working in a team toward shared goals.Good interpersonal skills, team player and collaborative experience.Proficiency in the use and application of interpreted maths and statistical software languages. In particular Python but others such as R, Matlab, Lisp, etc. would be acceptable.Proficiency in the use of compiled languages such as C, C++, Java, Fortran, OpenCL, CUDA, etc. Either stand alone or used in conjunction with an interpreted language for computationally intensive sections of code.Experience working in a Unix/Linux environment.Experience working in high performance computing (HPC) or cloud environments.Experience in creating formal reports, scientific publications or high quality software documentation.Experience of creating and giving presentations to a varied group of internal and external stakeholders.Evidence of peer reviewed publication record.This role is to end of October and will pay between £34,636 to £42,269 depending on experience.Networkers acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers and is part of Gattaca Plc. Gattaca Plc provides support services to Networkers and may assist with processing your application.

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