Data Scientist – Postnatal Health (Flexible, Fixed‑Term)

Data Scientist – Postnatal Health (Flexible, Fixed‑Term)

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead feasibility studies and analyse real-world NHS data for postnatal health.
  • 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 data quality.
  • Why this job: Make a real difference in women's healthcare 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) 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.

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Contact Details:

Hesta Health Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist – Postnatal Health (Flexible, Fixed‑Term)

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 opportunities.

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 real-world applications.

Tip Number 3

Prepare for interviews by brushing up on statistical methods and data quality assurance techniques. Be ready to discuss how you've applied these in past projects, especially in relation to postnatal health.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Scientist role. Plus, it shows you’re serious about joining our mission to improve women’s healthcare.

We think you need these skills to ace Data Scientist – Postnatal Health (Flexible, Fixed‑Term)

Data Analysis
Statistical Methods
Python
R
Health Data Experience
Feasibility Studies
Data Quality Assurance

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 a good story!

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 see how you ensure high data quality and lead 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 project viability, tackled challenges, and ensured high-quality outcomes. Be ready to explain your thought process clearly.

Highlight Your Impact

This role is all about making a difference in women’s healthcare. Be prepared to discuss how your work has positively impacted health outcomes in the past, and express your passion for improving postnatal health through data science.