Job ID: 009684
Salary: £32,676 - £37,297 (grade 5) or £38,304-£45,026 (grade 6) per annum, inclusive of London Weighting Allowance
Closing date: 08-Dec-2020
Business unit: Faculty of Life Sciences & Medicine Department: Comprehensive Cancer Centre
Contact details: Milena Falcaro, email@example.com
Guy's Campus Research
The successful applicant will join Professor Sasieni’s Cancer Prevention Group at King’s College London. This post is funded from a Cancer Research UK programme grant focusing on cancer screening and statistics.
The post holder will be a statistician with a strong interest in epidemiology and will be primarily working on analyses of cancer screening data as well as other studies in cancer prevention. This will require a good understanding of statistical methods and fluency in using statistical software (e.g. R and/or Stata).
Contributions to applied analyses or methodological development will be recognised through authorship on publications. Opportunities will also be provided for further professional development.
The person appointed will report to and be supervised by Dr Milena Falcaro, Senior Statistician, and will work closely with epidemiologists.
This post is currently home-working in response to COVID-19. For this reason, the postholder must be self-motivated and be able to work independently.
About the Cancer Prevention Group:
The Cancer Prevention Group is part of the School of Cancer & Pharmaceutical Studies and is led by Prof. Peter Sasieni. The Group currently comprises some 30 grant-funded researchers (including the Cancer Prevention Trials Unit) and is divided into four research sub-teams: statistics, experimental epidemiology, observational epidemiology and behavioural sciences. Group members collaborate in cancer screening research internationally and have substantial expertise in epidemiology, clinical studies, use of routine registries and databases, as well as related statistical methodologies.
More details can be found at https://www.kcl.ac.uk/lsm/research/divisions/cancer/research/groups/canprev/Cancer-Prevention-Group.aspx
This post will be offered on a fixed-term contract for 1 year in the first instance.
This is a full-time post but part-time may be considered.
- With support from senior colleagues, to take responsibility for the statistics of several studies. This will include some or all of: contributing to study design, data manipulation, writing statistical analysis plans, undertaking statistical analyses, interpretation of results and solving statistical problems that may arise.
- To provide statistical advice and support to team members who are not statisticians.
- To contribute to the writing and publication of high-quality papers in peer-reviewed literature and the dissemination of research findings.
- To maintain accurate written and computerised records and to maintain confidentiality of all electronically stored personal data in line with relevant information governance policies.
- To contribute actively to team meetings presenting own work and to communicate conceptual and complex ideas to non-statistical colleagues and students.
- To contribute to the development and dissemination of sound methodology appropriate to the group’s portfolio of studies.
- To participate in the intellectual programme of the School of Cancer & Pharmaceutical Sciences.
- The post-holder will be expected to work both independently in planning day-to-day activities (in accordance with the projects’ deadlines as agreed with their supervisor) and as part of a multidisciplinary research team.
- Any other duties appropriate to the grade as directed by the Head of the Cancer Prevention Group.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
- Degree-level qualification in statistics, mathematics or with a substantial statistical and data analysis content
- MSc (PhD for grade 6) with high statistics content or have equivalent experience
- A solid understanding of statistical concepts
- Excellent written and verbal communication skills, including ability to convey statistical concepts to a non-statistical audience
- Proficiency in using statistical software (e.g. Stata or R)
- Experience in manipulating data sets and in analysing research data
- High level of accuracy and attention to detail
- Willingness to learn new software (e.g. Stata if not already known) and advanced statistical methods
- Highly motivated, hardworking, adaptable, problem-solving
- Ability to work both independently and as part of a multidisciplinary team
- Peer-reviewed publications (desirable for grade 5)
- Good knowledge of at least one programming language (e.g. C++ or Stata/Mata)
- Experience working as a statistician in a research environment
- Statistical methods for the analysis of missing values
This post will be remote working until further notice.
Interviews will take place remotely during the week commencing on the 14th of December.
This advertisement does meet the requirements for a Certificate of Sponsorship under Home Office regulations and therefore the university will be able to offer sponsorship for this role.