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- Tasks: Lead feasibility studies and apply statistical methods to real-world NHS data.
- Company: Innovative healthcare company focused on improving women's health.
- Benefits: Flexible working hours, part-time contract, and impactful work.
- Other info: Opportunity to work in London with a focus on women's healthcare.
- Why this job: Make a real difference in postnatal health while working with cutting-edge data.
- Qualifications: Proficient in Python or R with hands-on health data experience.
The predicted salary is between 30000 - 40000 £ per year.
A healthcare innovation company seeks a Data Scientist on a fixed-term part-time contract to work with real-world NHS data. You will lead feasibility studies, ensuring high data quality and applying statistical methods for postnatal health conditions.
Candidates should be proficient in Python or R and possess hands-on experience with health data. This role offers flexible working in London and a chance to impact women's healthcare directly.
Data Scientist – Postnatal Health (Flexible, Fixed‐Term) in London employer: Hesta Health Limited
Contact Detail:
Hesta Health Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Postnatal Health (Flexible, Fixed‐Term) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving health data. This will give you an edge and demonstrate your hands-on experience with Python or R.
✨Tip Number 3
Prepare for interviews by brushing up on statistical methods relevant to postnatal health. Be ready to discuss how you've ensured data quality in past projects, as this will be key for the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and stand out from the crowd. Plus, you'll be one step closer to making a real impact in women's healthcare.
We think you need these skills to ace Data Scientist – Postnatal Health (Flexible, Fixed‐Term) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python or R right from the get-go. We want to see how your skills can directly contribute to our work with real-world NHS data.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience with health data and any relevant projects you've worked on. This helps us see how you fit into our mission.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for postnatal health shines through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Hesta Health Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of health data, especially postnatal health conditions. Brush up on your statistical methods and be ready to discuss how you've applied them in previous projects. This will show your potential employer that you can hit the ground running.
✨Show Off Your Coding Skills
Since proficiency in Python or R is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data analysis. Being able to articulate your thought process while coding can really impress the interviewers.
✨Understand the NHS Landscape
Familiarise yourself with the NHS data landscape and current trends in women's healthcare. Being able to discuss how your work can impact real-world outcomes will set you apart. It shows that you’re not just a data scientist but someone who cares about the implications of their work.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company’s approach to postnatal health and data quality. This not only demonstrates your interest but also helps you gauge if the company aligns with your values and career goals.