Job Title

Senior Postdoctoral Mathematical Modeller 24P-110The Pirbright institute Salary: 47,000-48,000 per annumPermanentOnsite: Woking, GU24Application closing date: 17/04/2025Please send your cv alongside a cover letter to jobs@pirbright.ac.ukBefore applying, please consider all applicants must be eligible to work in the UKAbout the Pirbright institute The Pirbright institute delivers world-leading research to understand, predict, detect and respond to viral disease outbreaks. We study viruses of livestock that are endemic and exotic to the UK, including zoonotic viruses, by using the most advanced tools and technologies to understand host-pathogen interactions in animals and arthropod vectors. Our major strength in understanding the immune systems of livestock provides a platform to control current diseases and respond to emerging threats. This important research would not be possible without the proportionate use of animals, which are integral to the development of new disease control measures such as vaccines and diagnostics. We have an establishment-wide commitment to the 3rs (replacement, reduction and refinement), high standards of animal welfare, a culture of care and openness.Our institute is made up of a dynamic and vibrant community of staff covering a diverse set of chosen fields, backgrounds and experience. We all play a crucial role in furthering the institutes aspirations, advancing the frontiers of science and knowledge through our excellent scientific research, knowledge sharing and contribution; with a real focus in improving the world in which we live. Our outlook is always balanced by our strong sense of purpose, values and behaviours and an unwavering commitment to a one institute approach.Organisation position and purposeThe senior postdoctoral mathematical modeller will report directly to the head of transmission biology. Where they study the spread of livestock and zoonotic viruses using a combination of laboratory experiments, fieldwork and mathematical modelling. This role is for the development of an innovative research program in mathematical modelling of livestock viruses, exploring everything from within-host dynamics to regional spread. The post holder will work closely with a dynamic team of scientists at the institute to advance this research.Main duties and responsibilityResponsible for developing a programme of modelling work on livestock viruses, which will include:Identifying questions, with field and laboratory scientists, that can address mathematical modelling and the necessary dataDevelop and implement modelling approaches to tackle these key research questionsPublish research findings in top-tier, peer-reviewed journals and showcase at national and international conferencesSecure additional funding to expand and integrate these projects into the group's ongoing researchResponsible for providing modelling and statistical support to staff and students, which will include:Offer expert advice on mathematical modelling and statistics to staff and students as requiredResponsible for managing staff and students, which will include:Managing the postdoctoral modellers in the groupIdentifying student projects, obtaining funding for them and supervising the projectsBeing committed to personal development in this area, including attending regular trainingResponsible for outbreak response, which will include:Support the Institutes response to disease outbreaks as neededContributing to the research culture at Pirbright, which will include:Actively participating in the Institute's research culture through participation in meetings, seminars, and journal clubsWhere appropriate, take on committee roles, including representing the group in the group leader's absenceEngage in outreach activities, connecting with a diverse range of audiencesThis job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of the Pirbright institute.Specific requirementsEssentialA PhD or equivalent in a relevant branch of biosciences or with a substantial mathematical modelling componentAt least three years postdoctoral experience of applying mathematical modelling to biological systems, including model fitting and parameter estimationAt least three peer-reviewed publications as lead or last author in internationally recognized journalsEvidence of excellent oral and written communication skills, including conference attendanceEvidence of networking skills with the ability to build effective collaborative relationshipsDesirableExperience of collaborating with laboratory and field scientistsExperience of writing and managing small-scale grantsLeadership experience, including line management of staff, supervision of students and personal development trainingEvidence of participation and leadership in scientific community activities (e.g. Committees; mentoring; working groups)Measures of esteem (including awards and invited lectures)Evidence of carrying out outreach activities with a range of audiencesDue to the nature of the work carried out by Pirbright, all successful applicants will be required to go through a comprehensive screening process including reference and qualification checks, financial and security clearances.What we offerGenerous group personal pension scheme and life cover (subject to age and earnings)25 days annual leave per annum, pro rata, plus 10.5 public and privilege daysBuy and sell annual leaveOption to carry over up to two weeks annual leavePirbright gym with subsidised membershipPirbright social clubPirbright lifestyle hub (employee discount site)Cycle to workSubsidised staff restaurantChildcare allowanceFree onsite parkingElectric car charging facilitiesDue to the high volume of applications we receive, if you have not heard from us within one month from closing date of the vacancy, then please contact us on jobs@pirbright.ac.uk for an update.