Payband 5, Civil Service Equivalent HEO
£29,267 to £32,766 per annum
Permanent
Full-time, Part-time, flexible working, job share
The location for this role is Lowestoft, with travel to other Cefas and partner sites. The successful candidate is required to carry out all their duties from a UK location and cannot do so from an overseas location at any time unless travelling for business purposes.
REF: CEF-141-22 237272
The UK leaving the EU offers new opportunities to manage a sustainable UK fishing industry. The 25-year Environment plan and the Fisheries Bill both declare a sustainable development for this sector based on state-of-the art scientific insights. This role will provide an exciting opportunity for a motivated person to join the multi-species modelling team. You will be working to help us develop innovative scientific approaches to support Ecosystem-Based Fisheries Management advice and to provide analytical support for the assessment of marine fish and shellfish stocks, their associated fisheries, the marine environment, and management options. You will be expected to work with scientific and management organisations as well as the fishing industry, making a real impact influencing marine fisheries management and policy. Travel, both domestic and overseas is to be expected.
We welcome flexible working and are open to a hybrid approach of working from home and in an office.
Your main duties and responsibilities will include, but are not limited to:
- Developing innovative approaches to support the implementation of EBFM (using a range of approaches including ensemble approach, multi-species models and ecosystem models);
- Communicating and engaging with the scientific community to ensure that the approaches are state-of-the-art; and
- Engaging with policy makers to ensure the practical feasibility of the modelling approaches.
PERSON SPECIFICATION
The following are essential criteria required for this role and you must be able to demonstrate your skills and experience in the following areas:
- Excellent R skills and experience of writing code;
- Excellent statistical skills including understanding of graphical modelling (e.g., random effects models, hierarchical modelling);
- Being innovative, attentive, well-motivated, organised and flexible with good written and verbal communication skills;
- Experience in identifying and solving problems as part of an interdisciplinary team; and
- Ability to explain complex solutions to both specialists and non-specialists.
QUALIFICATIONS
Academic qualifications and experience required for direct entry into this Cefas Pay Band 5 role is a degree in quantitative ecology, statistics, or comparable subject with good focus on system modelling.
An equivalent qualification within the same subjects would be considered. Equivalent relevant work experience will be accepted.
BENEFITS
- Annual leave entitlement – 25 days on entry (rising to 30 days over first 5yrs)
- Eligible to join the Civil Service Pension scheme. Very favourable package, contributions are more than matched by employer – more information can be found on the CSP website, but also an information pack will be sent to the individual after joining http://www.civilservicepensionscheme.org.uk/
- Staff Recognition vouchers (subject to agreement)
- In-year award scheme (monetary amounts up to max £2000 possible) which is discretionary, non-consolidated and subject to any policy agreement in place at the time
- Flexible working arrangements.
- 5 days Learning & Development time per year (MyTime)
For full details and to apply online, please click on the ‘apply’ button.
Closing date for applications is 23:55, Monday 10th October 2022.