At a Glance
- Tasks: Lead data analytics strategies and oversee execution in family planning.
- Company: Join a pharma start-up making waves in healthcare through innovative data solutions.
- Benefits: Enjoy remote/hybrid work options and flexible travel arrangements.
- Why this job: Make a real impact in healthcare while mentoring and growing with your team.
- Qualifications: MSc or PhD in relevant fields; strong Python and SQL skills required.
- Other info: Engage with funders and deliver high-quality statistical analysis.
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.
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Senior Research Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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 is a key area for the role, and demonstrating your expertise can set you apart from other candidates.
✨Tip Number 2
Familiarize yourself with the latest trends and methodologies in data analytics, especially those relevant to healthcare. Being able to discuss innovative approaches will show your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led data analytics strategies. Use these examples to illustrate your leadership skills and ability to drive results in a collaborative environment.
✨Tip Number 4
Network with professionals in the healthcare and data science sectors. Engaging with others in the field can provide valuable insights and potentially lead to referrals that may help you land the job.
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 MSc or PhD degree and emphasizes your strong coding skills in Python and SQL. Include relevant experience in data analytics, especially in the family planning or healthcare domain.
Showcase Your Communication Skills: In your application, provide examples of how you've effectively communicated complex data insights in previous roles. This is crucial for a position that requires collaboration in a fast-paced environment.
Highlight Leadership Experience: If you have experience leading teams or mentoring colleagues, be sure to mention this. The role involves overseeing a team and fostering organizational growth, so demonstrating your leadership capabilities will be beneficial.
Express Your Passion for Healthcare: Convey your enthusiasm for making an impact in healthcare through data science. Mention any relevant projects or initiatives you've been involved in that align with the company's mission in family planning and health.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Domain Expertise
Make sure to highlight your experience in family planning, health, or low-income countries during the interview. Prepare specific examples of how your expertise has contributed to previous projects, as this will demonstrate your value to the company.
✨Demonstrate Your Technical Skills
Be ready to discuss your coding skills in Python and SQL. You might be asked to solve a technical problem or explain your approach to data processing and analytics. Brush up on relevant algorithms and data structures to impress your interviewers.
✨Prepare for Behavioral Questions
Expect questions about your ability to work in a fast-paced, collaborative environment. Think of situations where you successfully led a team or mentored colleagues, and be prepared to share these experiences to showcase your leadership skills.
✨Engage with Data Visualization
Since strong data visualizations are crucial for this role, prepare to discuss your experience with data visualization tools and techniques. Bring examples of your work that effectively communicate insights and engage stakeholders, as this will set you apart from other candidates.