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- Tasks: Join us to model healthcare data and improve NHS services with innovative solutions.
- Company: Outcomes Based Healthcare is a leader in transforming health through data-driven strategies.
- Benefits: Enjoy a four-day work week, private health insurance, and continuous professional development.
- Why this job: Make a real impact on population health while working in a collaborative and innovative environment.
- Qualifications: Experience with large healthcare datasets and proficiency in PySpark and Azure Synapse required.
- Other info: Work hybrid, with two days in London, and contribute to national health strategies.
The predicted salary is between 43200 - 72000 £ per year.
Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare
Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare
Location
Hybrid (Tuesdays and Wednesdays in London)
N/A
Closing Date
N/A
Reference
N/A
Outcomes Based Healthcare (OBH) is seeking a highly skilled and motivated Senior Healthcare Data Modeller / Forensic Data Analyst to join our nationally recognised team. This role offers an exciting opportunity to work at the forefront of healthcare transformation, supporting the development of data-driven solutions that improve population health and service delivery across the NHS.
As a Senior Data Modeller at OBH, you will contribute to the continued development of the National Segmentation Dataset, a key asset underpinning NHS England’s population health strategy. You will take ownership of complex data modelling tasks, translating clinical definitions into robust, testable logic, and managing high-volume analytical pipelines that integrate more than 31 billion raw health records. This work is critical to enabling evidence-based decision making, proactive care delivery, and improved health outcomes on a national scale.
The successful candidate will have substantial experience working with large-scale healthcare datasets, preferably within the NHS or UK health sector. Proficiency in PySpark, SparkSQL, and experience working within Azure Synapse or equivalent big data platforms is essential. You will be adept at investigating and resolving data quality issues, collaborating with clinical and technical colleagues, and developing solutions that are both technically rigorous and clinically meaningful.
OBH offers a unique working environment that blends innovation with mission-driven purpose. We operate a four-day working week while offering full-time compensation, and our team benefits from private health insurance, regular professional development opportunities, and a culture of collaboration and continuous learning. Our work has contributed to national health strategy, peer-reviewed research, and award-winning innovations in healthcare analytics.
To apply, please submit a full CV and a personal statement (no more than two A4 pages) outlining your interest in the role and the experience you would bring. Contact details for three referees should also be included (references will not be contacted without prior consent). Applications should be sent to: apply@hunter-healthcare.com . For an informal discussion about the post, please contact Brendan Davies at Hunter Healthcare via bdavies@hunter-healthcare.com or on 07585 356985.
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Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare employer: Hunter Healthcare Resourcing Limited
Contact Detail:
Hunter Healthcare Resourcing Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare
✨Tip Number 1
Familiarise yourself with the National Segmentation Dataset and its role in NHS England's population health strategy. Understanding this dataset will help you demonstrate your knowledge during discussions and show how you can contribute to its development.
✨Tip Number 2
Network with professionals in the healthcare data sector, especially those who have experience with NHS datasets. Engaging with them can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Brush up on your skills in PySpark and SparkSQL, as these are essential for the role. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your expertise.
✨Tip Number 4
Prepare for potential interviews by thinking about how you've tackled data quality issues in the past. Be ready to discuss specific examples that highlight your problem-solving skills and ability to collaborate with both clinical and technical teams.
We think you need these skills to ace Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Senior Healthcare Data Modeller / Forensic Data Analyst position. Understand the key responsibilities and required skills, especially around data modelling and healthcare datasets.
Tailor Your CV: Craft your CV to highlight relevant experience in handling large-scale healthcare datasets, particularly within the NHS or UK health sector. Emphasise your proficiency in PySpark, SparkSQL, and any experience with Azure Synapse or similar platforms.
Write a Compelling Personal Statement: In your personal statement, clearly express your interest in the role and how your background aligns with the objectives of Outcomes Based Healthcare. Use specific examples to demonstrate your experience in data modelling and resolving data quality issues.
Include Referees: Make sure to include contact details for three referees in your application. Ensure you have their consent beforehand, as references will not be contacted without it. Choose referees who can speak to your relevant skills and experiences.
How to prepare for a job interview at Hunter Healthcare Resourcing Limited
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in PySpark, SparkSQL, and any experience with Azure Synapse. Be prepared to discuss specific projects where you've successfully utilised these technologies, as this will demonstrate your capability to handle the complex data modelling tasks required for the role.
✨Understand the NHS Landscape
Familiarise yourself with the current challenges and strategies within the NHS, particularly around population health. This knowledge will not only help you answer questions more effectively but also show your genuine interest in contributing to outcomes-based healthcare.
✨Prepare for Data Quality Discussions
Since resolving data quality issues is a key part of the role, be ready to discuss your approach to identifying and fixing data discrepancies. Share examples from your past experiences that illustrate your problem-solving skills and attention to detail.
✨Emphasise Collaboration Skills
The role involves working closely with clinical and technical colleagues, so it's important to convey your ability to collaborate effectively. Prepare examples of how you've worked in teams to develop solutions that are both technically sound and clinically relevant.