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- Tasks: Lead data analytics strategies and oversee execution in family planning.
- Company: Join a pharma start-up making a real impact in healthcare through innovative data solutions.
- Benefits: Enjoy remote/hybrid work options and flexible travel for onsite collaboration.
- Why this job: Be at the forefront of healthcare innovation while mentoring others and growing professionally.
- Qualifications: MSc or PhD in relevant fields with strong Python and SQL skills required.
- Other info: Engage with funders and deliver high-quality statistical analysis and insights.
The predicted salary is between 68000 - 102000 £ per year.
Job Description
Senior Research Data Scientist
Remote (with occasional travel to London)
Up to £85,000
This is your chance to join a pioneering team working on cutting-edge data-driven projects, addressing family planning and contraceptive challenges in low-income countries. This is a great opportunity to work on a project where you will have a tangible impact on women's health!
Role and Requirements:
You’ll be at the forefront of advancing data science for healthcare initiatives, focusing on understanding family planning preferences and needs across LMIC. You’ll contribute to innovative projects that drive actionable insights and real-world impact. Your responsibilities include:
- Designing and building advanced models in regression, clustering, segmentation, and survey analysis using Python or R.
- Transforming raw data into high-quality analytics and engaging stakeholders with actionable insights and impactful visualizations.
- Leading the analysis of survey and healthcare data, contributing to the development of programs that improve access to reproductive health.
- Collaborating with technical and non-technical stakeholders to deliver clear reports and data-driven recommendations.
- Mentoring junior team members and promoting growth within the team.
What We’re Looking For:
- Proven experience in family planning and contraceptives, with a focus on low- and middle-income countries.
- Strong expertise in Python or R, along with proficiency in survey data analysis and statistical methodologies.
- A PhD in a related field is highly desirable, complemented by practical research experience.
- A deep passion for improving healthcare outcomes through data-driven insights.
- Outstanding communication skills with the ability to convey complex analytics to diverse audiences.
- Basic knowledge of cloud computing (AWS) and fluency in French are a plus.
Please Note:
Unfortunately, we are unable to offer sponsorship for this position.
Senior Research Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Data Scientist
✨Tip Number 1
Make sure to highlight your experience in the family planning domain during any conversations or interviews. This will show that you understand the specific challenges and opportunities in this area, which is crucial for the role.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in data analytics, especially those relevant to healthcare. Being able to discuss innovative methodologies can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your coding skills in Python and SQL through practical examples. You might be asked to solve a problem or analyze a dataset on the spot, so practice is key!
✨Tip Number 4
Showcase your ability to mentor and support colleagues. This role involves leading a team, so sharing past experiences where you've helped others grow can make a strong impression.
We think you need these skills to ace Senior Research Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data science, particularly in the family planning domain. Emphasize your coding skills in Python and SQL, as well as any previous work in healthcare analytics.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for healthcare and data science. Mention specific projects or experiences that demonstrate your expertise in family planning and your ability to lead data analytics strategies.
Highlight Your Educational Background: Clearly state your MSc or PhD degree in a relevant field. If you have conducted research or projects related to family planning or low-income countries, be sure to include those details.
Showcase Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've effectively communicated complex data insights to non-technical stakeholders in your previous roles.
How to prepare for a job interview at Harnham
✨Showcase Your Domain Expertise
Make sure to highlight your experience in family planning, sexual health, or low-income countries during the interview. Prepare specific examples of how your domain knowledge has influenced your previous work and how it can benefit the company.
✨Demonstrate Your Technical Skills
Be ready to discuss your coding skills in Python and SQL. You might be asked to solve a problem or explain your approach to data processing and analytical pipelines, so brush up on relevant technical concepts and be prepared to showcase your expertise.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex data analyses and methodologies in a clear and concise manner. Think about how you can convey your insights and visualizations to both technical and non-technical stakeholders.
✨Prepare for Leadership Questions
As a senior position, expect questions about your leadership style and experience mentoring others. Reflect on past experiences where you've led a team or supported colleagues' professional development, and be ready to share those stories.
