Senior Computational Mathematical Modeller - £Competitive Salary – 12 month Fixed Term Contract – Wiltshire – J9811
Exciting opportunity for a numerate Phd graduate to provide specialist expertise implementing and developing inferential statistical and mathematical models as high performance computer programs.
Working as part of an integrated multidisciplinary team and with external collaborators you will be a team player with strong Python programming (and associated code development skills), a mathematical background, and possess good report writing skills.
Responsibilities:
• Assess, develop and implement appropriate inferential statistical and mathematical models as computer programs to underpin the decision support tools.
• 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 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.
The successful candidate will be required to apply for, and obtain, UK Security Clearance.
Qualifications, Experience & Skills Required:
• First 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).
• 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.
• 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 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.
If you fit the above job description please contact Teresa Cheeseman on 01256 314 660 or email her on [log in to unmask] Please be advised that we can only accept candidates who have the right to work in the UK.
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