Ocean Science Consulting Limited is currently seeking a Statistical Modeller
Vacancy: Statistical Modeller
Key duties
-Conduct statistical analysis of pre-existing datasets;
-Write manuscripts for submission to peer-reviewed journals;
-Oversee the peer-review process; and,
-Support colleagues with analysis of commercial datasets as and when required.
A successful candidate will have the following:
Required
-A completed PhD in a relevant scientific discipline (statistics/oceanography/marine biology/marine ecology, etc.);
-The position requires a PhD; however, students may apply, but be aware that starting salary will be ?27,000-30,000 (depending on qualifications and experience until the PhD is completed), and the position would be part time until the PhD was completed;
-Strong statistical analysis background ideally in R (e.g. GLM, GAM, PCA, HBM, INLA, time series analysis, distance sampling, abundance estimation, survey design, PCoD, etc.);
-A minimum of two, first author, ecological-modelling related peer-reviewed scientific papers in a top journal (i.e. not a proceedings paper);
-Experience sourcing and processing oceanographic datasets (synoptic satellite-derived or modelled data, etc.) and handling data of various types including: netCDF, csv, txt, etc.;
-Excellent spoken and written English (to peer-reviewed, non-copy-edited level);
-A genuine interest in marine mammals and benthic ecology, and an understanding of the physical parameters of the ocean which affect them;
-Ability to collaborate within a team setting to produce high-calibre publications and reports; and,
-Must be legally allowed to work in the UK prior to employment (we cannot assist with visas).
interested candidates should send a CV and cover letter to: admin@osc.co.uk<mailto:admin@osc.co.uk>. This address can also be used for informal enquiries. Successful candidates will be invited to an interview via Microsoft Teams. An interview task will be provided comprising both written and practical components. The successful candidate will be working under the supervision of Dr Victoria Todd and Dr Laura Williamson.
https://www.osc.co.uk/careers/vacancies/