Senior Research Scientist - Health Tech (3-Month Contract)
Day rate = £450/day
Location: Remote - UK Based
Contract Duration: 3 months, with the possibility of extension.
Role Overview:
Lead the analysis of large-scale survey data from Nigeria, Senegal, and Ivory Coast to support health initiatives. Provide data-driven insights and recommendations aligned with project goals.
We are hiring a Senior Research Scientist for a 3-month contract to lead data-driven projects in women's health and family planning across developing countries. This role requires expertise in research, data science, and the ability to deliver actionable insights that inform policy and decision-making.
Essential Skills & Qualifications:
* Education:
o Ph.D. (or equivalent) and a master's degree in a relevant field.
* Technical Skills:
o Expertise in R for statistical analysis and data manipulation.
o Experience with GitHub for version control.
o Strong knowledge of data processing and analytics pipelines.
* Industry Experience:
o Proven background in health tech, public health, or pharma.
o Demonstrated success in delivering research-driven insights and recommendations.
Due to the specifics and nicheness of this role only candidates with relevant industry experience and proficiency in R and GitHub will be considered
Key Responsibilities:
* Data Analysis:
o Develop and manage data pipelines for large-scale survey data.
o Extract actionable insights to support strategic decision-making.
* Statistical Insights:
o Conduct causal analyses to identify trends in women's health and family planning.
o Present clear, impactful findings to stakeholders.
* Collaboration:
o Work with cross-functional teams, including data scientists and consultants.
o Communicate insights effectively to stakeholders and funders.
Preferred Qualifications:
* Experience with data projects in developing countries.
* Understanding of women's health and family planning challenges.
* Proven ability to collaborate in multidisciplinary teams.
Desired Skills and Experience
Skills:
Data Analysis
Statistical Modelling
R Programming
Data Science
Public Health Research
Health Tech Innovation
Data Pipeline Development
Survey Data Analysis
Causal Inference
GitHub (Version Control)
Policy Research & Analysis
Health Data Visualisation
Women's Health & Family Planning
Cross-functional Collaboration
Developing Countries Research
Experience:
Senior Research Scientist | Health Tech (Contract)
Remote (UK-Based) | 3-Month Contract | £450/day
Led analysis of large-scale survey data from Nigeria, Senegal, and Ivory Coast.
Delivered data-driven insights to support women's health and family planning initiatives.
Developed and managed data pipelines for complex health datasets.
Conducted causal analyses and presented impactful findings to stakeholders.
Collaborated with multidisciplinary teams to inform policy and strategic decisions.