Senior Research Scientist - Health Tech (3-Month Contract)
Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
Day Rate: £450/day
Location: Remote (UK-based)
Contract Duration: 3 months, with potential to extend
Role Overview
We're looking for a Senior Research Scientist to lead data-driven projects focusing on women's health and family planning in developing countries. You'll manage the full lifecycle of survey collection-from planning to analysis-whilst leveraging R to unlock impactful insights. Please note: extensive hands-on experience with both survey collection and R is absolutely essential. Only candidates who meet these criteria will be considered.
Key Responsibilities
* Survey Collection & Data Analysis
o Oversee the design, deployment, and analysis of large-scale surveys in multiple regions.
o Develop and maintain data pipelines in R, ensuring high-quality data cleaning, manipulation, and reporting.
* Statistical & Data Science Techniques
o Apply robust data science methods (e.g. causal analyses, predictive modelling) to extract actionable insights.
o Communicate findings effectively to technical teams, stakeholders, and funders.
* Project Management
o Lead end-to-end project delivery, setting milestones, coordinating with cross-functional teams, and ensuring on-time results.
o Use GitHub or similar tools for version control and collaboration.
Essential Skills & Qualifications
* Extensive Expertise in R
o Proven track record working with large datasets, statistical modelling, and data manipulation in R.
* Hands-On Survey Collection Experience
o Ability to design, deploy, and analyse surveys at scale, ensuring data integrity and reliability.
* Project & Stakeholder Management
o Experience overseeing complex data-driven projects, meeting deadlines, and working across diverse teams.
* Educational Background
o An advanced degree is advantageous but not strictly required-real-world experience is what counts most.
Preferred Qualifications
* Familiarity with women's health and family planning challenges, especially in developing countries.
* Previous collaboration with public health or health tech organisations.
* Strong presentation and communication skills to translate data findings into clear recommendations.
If this sounds like you, drop us your CV along with an overview of your proven experience using R for survey collection and analysis.
Desired Skills and Experience
Expert R User (data cleaning, statistical modelling, advanced analytics)
Survey Collection & Analysis (design, deployment, interpretation)
Data Science Techniques (causal analysis, predictive modelling, insights)
Project Management (end-to-end delivery, stakeholder coordination)
Cross-Functional Collaboration (communicating results to diverse teams)