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- Tasks: Lead data analysis projects focused on women's health in developing countries.
- Company: Join a dynamic team driving health initiatives through data-driven insights.
- Benefits: Enjoy a competitive day rate of £450 and the flexibility of remote work.
- Why this job: Make a real impact on global health while collaborating with experts in the field.
- Qualifications: Ph.D. or equivalent, expertise in R, and experience in health tech required.
- Other info: This is a 3-month contract with potential for extension.
The predicted salary is between 54000 - 75600 £ per year.
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:
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Education:
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Ph.D. (or equivalent) and a master\’s degree in a relevant field.
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Technical Skills:
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Expertise in R for statistical analysis and data manipulation.
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Experience with GitHub for version control.
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Strong knowledge of data processing and analytics pipelines.
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Industry Experience:
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Proven background in health tech, public health, or pharma.
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Demonstrated success in delivering research-driven insights and recommendations.
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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:
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Data Analysis:
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Develop and manage data pipelines for large-scale survey data.
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Extract actionable insights to support strategic decision-making.
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Statistical Insights:
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Conduct causal analyses to identify trends in women\’s health and family planning.
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Present clear, impactful findings to stakeholders.
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Collaboration:
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Work with cross-functional teams, including data scientists and consultants.
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Communicate insights effectively to stakeholders and funders.
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Preferred Qualifications:
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Experience with data projects in developing countries.
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Understanding of women\’s health and family planning challenges.
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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.
Research Scientist (Healthcare/Pharma) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Healthcare/Pharma)
✨Tip Number 1
Make sure to highlight your experience with large-scale survey data, especially if you've worked on projects in developing countries. This will show that you understand the context and challenges of the role.
✨Tip Number 2
Demonstrate your proficiency in R and GitHub by discussing specific projects where you've used these tools. Providing examples of how you've managed data pipelines or conducted statistical analyses will set you apart.
✨Tip Number 3
Emphasize your ability to communicate complex data insights clearly. Since this role involves presenting findings to stakeholders, showcasing your communication skills can be a key differentiator.
✨Tip Number 4
If you have experience collaborating with cross-functional teams, make sure to mention it. Highlighting your teamwork skills will demonstrate that you can effectively work with diverse groups to achieve project goals.
We think you need these skills to ace Research Scientist (Healthcare/Pharma)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your background in health tech, public health, or pharma. Detail any specific projects where you led data analysis or delivered insights that influenced policy decisions.
Showcase Technical Skills: Clearly outline your proficiency in R and GitHub. Provide examples of how you've used these tools in previous roles, especially in relation to data processing and analytics pipelines.
Demonstrate Understanding of the Role: In your application, express your understanding of the challenges in women's health and family planning, particularly in developing countries. This will show that you are not only qualified but also passionate about the field.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing, such as 'data-driven insights', 'causal analyses', and 'cross-functional collaboration' to make your application stand out.
How to prepare for a job interview at Harnham
✨Showcase Your Expertise in R
Make sure to highlight your proficiency in R during the interview. Be prepared to discuss specific projects where you've used R for statistical analysis and data manipulation, especially in health tech or public health contexts.
✨Demonstrate Your Experience with Data Pipelines
Discuss your experience in developing and managing data pipelines for large-scale survey data. Provide examples of how you've extracted actionable insights from complex datasets, particularly in relation to women's health and family planning.
✨Prepare for Causal Analysis Questions
Expect questions related to causal analyses and how you identify trends in health data. Be ready to explain your approach and any methodologies you've employed in previous research projects.
✨Emphasize Collaboration Skills
Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with data scientists, consultants, and other stakeholders. Highlight your communication skills and ability to present findings effectively.
