At a Glance
- Tasks: Lead feasibility studies and apply statistical methods to improve postnatal health.
- Company: Innovative healthcare company focused on real-world NHS data.
- Benefits: Flexible working hours and the chance to make a real impact.
- Other info: Part-time fixed-term role based in London.
- Why this job: Directly influence women's healthcare while working with valuable health 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
Join a pioneering healthcare innovation company that values flexibility and work-life balance, offering you the opportunity to make a meaningful impact on women's postnatal health. With a collaborative work culture and a commitment to employee growth, you'll have access to professional development opportunities while working with real-world NHS data in the vibrant city of London.
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 when discussing your experience during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for interviews by brushing up on statistical methods and real-world applications in postnatal health. We recommend practising common interview questions and scenarios related to data quality and feasibility studies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Data Scientist – Postnatal Health (Flexible, Fixed‑Term) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with health data and your proficiency in Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about postnatal health and how your background makes you a great fit for this role. Keep it engaging and personal – we love to see your personality!
Showcase Your Statistical Skills:Since you'll be applying statistical methods, make sure to mention specific techniques you've used in past projects. We’re keen to know how you ensure high data quality and what approaches you take in feasibility studies.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
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 experience with NHS data and be ready to discuss how you've ensured data quality in past projects.
✨Show Off Your Coding Skills
Since proficiency in Python or R is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and statistical methods relevant to healthcare.
✨Prepare for Feasibility Studies Questions
Expect questions about leading feasibility studies. Think of examples where you’ve assessed data quality and the impact of your findings. Be ready to explain your thought process and decision-making in those scenarios.
✨Highlight Your Flexibility and Impact
This role offers flexible working, so emphasise your ability to manage time effectively. Also, share your passion for improving women’s healthcare and how your work can make a real difference in this field.
