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Ecological Statistician, British Trust for Ornithology

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British Trust for Ornithology
 

Position Type

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About the role

The BTO is seeking an innovative statistician to contribute directly to the design and analysis of a broad range of applied projects and to provide statistical guidance across the organisation. The post holder will also develop and implement new statistical techniques applicable to the BTO’s datasets. She or he will be encouraged, where possible, to develop a programme of statistical research into one or more areas that are of relevance to the BTO, such as the design of biodiversity surveys, analyses of large-scale and long-term datasets, analyses of survival and productivity data and the design and analysis of experimental data. In addition, the post holder will also be required to provide statistical input to a wide range of projects across the organisation. Core to much of the BTO’s research is our Integrated Population Monitoring (IPM) programme for terrestrial breeding birds, which aims to measure population changes and to investigate their demographic mechanisms and ecological causes. Many projects at the BTO involve analyses of extensively-collected, large-scale datasets, often derived from citizen science monitoring, such as the BTO/JNCC/ RSPB Breeding Bird Survey (BBS), or the 2007-2011 Bird Atlas. These are supplemented by our ringing and nest-recording schemes which provide the demographic data necessary to understand population changes. Key outputs from BTO research include refereed scientific publications, research reports, monitoring results (many via the internet e.g. http://www.bto.org/birdtrends) and advice to government and a range of nongovernmental organisations.

About the people you will work with

Although the post is located within the Population Ecology & Modelling & Demography Group, led by Head and Principal Ecologist, Dr Simon Gillings, this will require work with scientists from throughout the BTO, including those in our Scottish and Welsh offices. The post holder will be managed by Dr Rob Robinson, Associate Director (Research).

Person Profile: what you will deliver

1. Considerable personal initiative to design and implement analyses of BTO and other environmental data sets to address relevant ecological questions with staff in BTO’s research groups and external organisations, following programmes of work agreed with project managers.

2. Development and application of novel statistical and modelling approaches to the analysis of BTO and related dataset and the tools/programs that will facilitate the use of these techniques by other scientific staff within the BTO.

3. High-level statistical advice across the organisation, contribute to quality control of BTO research outputs, especially where they may be subject to public scrutiny, and develop short courses on statistical topics as part of the BTO’s training programmes.

4. A strong scientific publication record in refereed scientific journals, publishing at least two papers annually.

5. Development of existing links with statistical research groups, working with other statisticians as appropriate to seek funds to develop collaborative programmes of work.

6. Presentation of work at national and international scientific meetings and be an active member of the ecological statistics community, contributing to it through such activities as refereeing papers and grant proposals, sitting on external committees, external examining etc.

This is not an exhaustive list; the successful applicant will agree objectives with the line manager.

Person Profile: what you’ll bring to the BTO

1. A PhD in statistics or a related subject (or equivalent experience), preferably with some postdoctoral experience.

2. A strong research interest in ecology, preferably with a good knowledge of population ecology.

3. Advanced statistical expertise in study design and the analysis of ecological data and the ability to acquire in-depth knowledge of new specialist statistical techniques as required.

4. Advanced expertise in the manipulation, analysis and modelling of large ecological datasets. Knowledge of SAS or R is essential; familiarity with programming in languages such as Fortran or C++ would be beneficial.

5. Familiarity with the application of Bayesian methods would be an advantage in addition to more classical frequentist statistics.

6. Ability to implement innovative methods of statistical analysis and modelling, such that the results produced are sufficiently robust to be publishable in high quality journals, often working to tight deadlines.

7. A strong ability to communicate statistical ideas and methods clearly to biologists (with all levels of statistical expertise) and to work well as part of a team.

8. A track record of publications in high quality refereed scientific journals.

9. Ability to present research talks effectively at national and international scientific meetings.

10. Excellent personal organisation and time management skills.

Benefits

The post holder will qualify for life assurance (four times salary) and be automatically enrolled in the BTO group personal pension scheme, benefitting from an 11% employer contribution. Annual leave entitlement on starting is 25 days plus bank holidays.

Application

If you have what it takes then we look forward to hearing from you – send your completed application form with a CV to Sian Knott via jobs@bto.org stating the job title in the subject line. The closing date for receipt of applications is 1pm on Friday 24 November. It is anticipated that interviews will be held in Thetford week commencing 11 December. If you have a disability or long term illness that otherwise prevents you from meeting any of the essential criteria, please contact us to discuss whether a reasonable adjustment could be made. For an informal chat about the position please call Dr Rob Robinson or Dr Simon Gillings on 01842 750050 (email: rob.robinson@bto.org or simon.gillings@bto.org).

  • Posting Date: 2 weeks ago

Requirements


  1. A PhD in statistics or a related subject (or equivalent experience), preferably with some postdoctoral experience.
  2.   A strong research interest in ecology, preferably with a good knowledge of population ecology.
  3.   Advanced statistical expertise in study design and the analysis of ecological data and the ability to acquire in-depth knowledge of new specialist statistical techniques as required.
  4.   Advanced expertise in the manipulation, analysis and modelling of large ecological datasets. Knowledge of SAS or R is essential; familiarity with programming in languages such as Fortran or C++ would be beneficial.
  5.   Familiarity with the application of Bayesian methods would be an advantage in addition to more classical frequentist statistics.
  6.   Ability to implement innovative methods of statistical analysis and modelling, such that the results produced are sufficiently robust to be publishable in high quality journals, often working to tight deadlines.
  7.   A strong ability to communicate statistical ideas and methods clearly to biologists (with all levels of statistical expertise) and to work well as part of a team.
  8.   A track record of publications in high quality refereed scientific journals.
  9.   Ability to present research talks effectively at national and international scientific meetings.
  10.   Excellent personal organisation and time management skills.

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