Role: Survey Statistician
Salary: £50130-£57900 Depending on experience(or SEK Equivalent)
Duration: 12 Month Contract
Location: UK(Southampton) or Sweden(Stockholm)
Start date: October/November 2020
Reporting to: Senior Project Manager
Deadline: 17th October 2020
Flowminder is a non-profit foundation that specialises in the analysis of anonymised mobile phone data, satellite imagery, and household survey data for humanitarian and international development purposes.
Our mission is to enable decision makers to access the data they need to transform the lives of vulnerable people, at scale. We are striving to create a world in which decisions that can improve the lives of vulnerable people are based on the most appropriate evidence. We partner with decision makers and key stakeholders in national and international data systems to produce high-quality data, strengthen capacity, develop new methods and tools, and leverage novel data sources to improve the lives of vulnerable populations.
Flowminder researchers pioneered the use of mobile operator data for humanitarian purposes. Flowminder researchers were the first to use mobile operator data to monitor population movements following a large-scale disaster and a major infectious disease outbreak (the Haiti earthquake and cholera outbreak, 2010). Flowminder was the first to show that mobile operator data can predict the spatial spread of an infectious disease. Additionally, Flowminder is a leader in the emerging field of gridded population sampling, launching in 2019 an easy-to-use tool for survey practitioners working in complex urban settings and contexts without reliable census sample frames. The tool, GridSample.org, does not require specialised spatial skills and includes hundreds of pre-loaded spatial datasets. Since its launch, the tool has been used in seven national surveys in Africa and a state-level survey by the Government of Nigeria.
We work with governments in low and middle-income countries, UN agencies, The World Bank and other development banks. Our funding comes from Bill and Melinda Gates Foundation, UK government, development banks, UN and intergovernmental agencies.
Due to the COVID-19 pandemic, this role is likely to start with home-working, though we are looking for candidates that will join one of our offices based in Stockholm (Sweden), Geneva (Switzerland) or Southampton (UK).
The Survey Statistician oversees all survey-related work at Flowminder, and supervises consultants and survey staff as needed. This role includes classic survey statistician activities such as designing, managing, processing, and analysing survey data; as well as leading innovative approaches to survey data collection (e.g. gridded population sample surveys with census sample frames are outdated, inaccurate, or aggregated) and analysis (e.g. linking survey data with mobile phone call detail records (CDRs) to understand population mobility). The candidate is experienced in classic survey designs and methods, and is comfortable tailoring these to diverse contexts. While the candidate, ideally, has some familiarity with spatial data, s/he is not expected to be knowledgeable of gridded population or CDR data upon joining Flowminder. An orientation, learning materials, and support will be provided to enable the candidate to develop expertise about these data. Therefore, success in the role is defined by a strong foundation in survey statistical theory, curiosity, and effective communication. Given the experience of Survey Statisticians collecting and managing sensitive population data, this role also provides leadership to maintain data security and privacy.
Upcoming projects include
– Design and implement an area micro-census survey (also known as compact segment survey) with the Mapping for Health project to be used by WorldPop to train a gridded population model
– Design and implement a phone survey with the Mapping for Health project to assess home location, mobility, and phone usage statistics
– Manage new developments to the GridSample.org tool, providing key insights from the perspective of a survey practitioner (software development of the tool will be handled by other role/s in Flowminder)
– Contribute survey expertise to Flowminder’s Knowledge Centre focused on the science of mobility data, particularly mobile phone call detail records (CDRs)
– Design and manage in-person and phone surveys for multiple purposes (e.g. estimating population indicators, training geospatial models, evaluating representativeness of CDR data)
– Design survey instruments and materials; oversee survey instrument translation and field testing
– Oversee data collection; support field-based survey supervisors (consultants)
– Account for and solve problems caused by nonresponses or other sampling issues
– Conduct survey quality control checks, and oversee data management and cleaning
– Apply programming and analysis skills to answer key questions with survey data
– Write project reports and scientific papers
– Develop and evaluate new methods for survey data collection to adjust for bias in CDR data, and analysis methods that integrate CDR with traditional data sources such as surveys
– Supervise a Flowminder survey practitioner with expertise in gridded population survey implementation
– Manage Flowminder’s GridSample.org tool for selecting survey samples from gridded population sample frames
– Develop learning materials for Flowminder’s online Knowledge Centre about surveys to quantify and adjust for bias in CDR data
– Potential international travel (as appropriate and feasible given COVID-19 risks)
– Provide leadership on ethics in field data collection and operational work
– Manage relationships with national statistics/survey organisations and other key partners as required
Experience & Qualifications
– Advanced university degree in Statistics, Epidemiology, Public Health, Demography, or a related field. The successful candidate is likely to have a PhD degree, although strong candidates with a master degree will also be considered. At least four years of related experience is required.
– Experience designing and implementing household surveys (preferably in low- and middle-income countries), including: sample size calculations; choice of sample frame; use of stratification, oversampling, or other complex designs; deciding methods for household/individual sampling (e.g. full listing, random-walk); and planning and coordinating survey logistics
– Experience calculating and applying sample weights
– Proficiency with statistical software programmes such as Stata, SAS or R
– Familiarity with survey statistical analysis techniques such as regression, but also multivariate techniques or machine-learning
– Experience developing and delivering practice-based trainings to working professionals
– Proactive, self-motivated individual with desire to learn and collaborate
– Ability to communicate ideas and information effectively and professionally
– Attentive to detail, organised, and able to multitask
– A curious person who finds joy in creative-thinking
– Experience designing and implementing phone surveys
– Experience applying spatial sampling techniques
– Familiar with volunteered geographic information, Earth Observation, or other spatial data
– Experience using a geographic information system (GIS)
– Familiarity with gridded population data and/or CDR data
– Experience living or working in low- and middle-income country settings
– Foreign language skills in French, Arabic, Portuguese, Yoruba, or other common African language
Applications should consist of:
– A condensed CV (not to exceed two pages) summarising relevant qualifications and experience
– A one-page cover letter, outlining suitability for the role with reference to the essential and desirable criteria
Applications should be submitted to:Careersemail@example.com
Closing date: 17th October 2020