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- Tasks: Lead a dynamic data science team to enhance healthcare analytics and improve patient outcomes.
- Company: Join a forward-thinking healthcare organisation dedicated to innovation and collaboration.
- Benefits: Enjoy a competitive salary, private medical cover, generous holiday, and a strong pension scheme.
- Other info: Flexible working options with opportunities for professional growth and development.
- Why this job: Make a real difference in healthcare by leveraging data to improve patient care and outcomes.
- Qualifications: Postgraduate degree in a quantitative field and expert R programming skills required.
The predicted salary is between 55000 - 65000 £ per year.
Role: Lead data science and analytics team within the Healthcare (registries) division. You will oversee a team of data scientists and data analysts, manage workload, upskill team members, standardise reports, contribute to statistical oversight, and explore advanced methodologies for health data. The focus is on clinical registries related to performance outcomes for patients undergoing surgical or medical interventions, supporting NHS and private UK healthcare providers. The role may be hybrid or fully remote based on location, with occasional travel to head office in Hemel Hempstead or other NEC/NHSE locations.
Responsibilities
- Oversee a team of data scientists and data analysts
- Prioritise and schedule competing workloads to meet delivery timelines
- Lead regular updates and one-to-one meetings with team members
- Liaise with industry and academic partners to align and improve statistical methodology and reporting strategy
- Identify and provide appropriate training opportunities for team members
- Explore real-world-evidence datasets for registry-specific analytical opportunities
- Coordinate and assist with the generation of regularly scheduled and bespoke reports, including plotting charts using standard libraries
- Take charge of data cleansing, quality assurance and supporting data integration
- Contribute ideas to improve productivity and delivery
- Liaise with data quality, development, business analyst and business consultant teams to deliver collaborative outputs
- Build an extensive clinical knowledge base through regular meetings with clinical steering committees
- Work closely with clinicians to understand and support reporting and analytical needs
Qualifications
Mandatory qualifications and experience:
- A postgraduate degree in computer science, statistics, biology or a related quantitative discipline
- Expert R (R Studio) programming skills for data manipulation, cleaning, report generation, visualization, statistical analysis and modelling
- Experience leading a team of data scientists or analysts
- Proficiency with SQL (Azure) for data manipulation and aggregation of data from disparate sources
- Experience cleansing, processing and managing large data sets
- Experience responding to analytical briefs
- Experience with data warehouses and open database connectivity
- Statistical expertise including survival analysis and predictive modelling
- Ability to deliver under pressure and with limited supervision
- Strong problem-solving skills and ability to meet deadlines
- Self-motivation and a flexible approach to work
- Ability to thrive in a collaborative team environment
Desirable qualifications and experience:
- Experience working with health data including clinical registries
- Experience working with unclean data and free text
- Interest in applying machine learning, NLP and AI to health data and patient safety
- Experience using Snowflake/DBT
- Prompt engineering for GitHub Copilot or equivalent
Additional Information
- Excellent benefits package, including an above-average pension scheme
- Private medical cover for employees with option to add family members
- 25 days paid holiday with option to buy/sell
- 4 x basic salary life assurance cover (option to increase)
- Group pension plan with employer contributions up to 8.5%
Candidates must be able to demonstrate a pre-existing right to work and travel within the UK. Documentary evidence will be required. All offers are subject to satisfactory vetting and reference checks. This role may require UK Security Clearance.
Data Team Leader employer: NEC Software Solutions
Contact Detail:
NEC Software Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Team Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and data science fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to health data or clinical registries. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially around statistical methodologies and data analysis. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Team Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Team Leader role. Highlight your experience in leading data teams, your R programming skills, and any relevant health data experience. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare data and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the responsibilities listed in the job description.
Showcase Your Skills: Don’t just list your skills—show us how you've used them! Whether it's through specific projects or achievements, we want to see real examples of your expertise in R, SQL, and data analysis. This will help us understand your problem-solving abilities and how you deliver under pressure.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at NEC Software Solutions
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and methodologies in data science, especially as they relate to healthcare. Brush up on your R programming skills and be ready to discuss how you've used them in past projects, particularly in relation to clinical registries.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led a team of data scientists or analysts. Think about specific challenges you faced, how you managed workloads, and how you upskilled your team members. This will demonstrate your ability to lead effectively in a collaborative environment.
✨Be Ready for Technical Questions
Expect questions that dive deep into your technical expertise, especially around SQL and data manipulation. Be prepared to discuss your experience with large datasets and how you’ve tackled data cleansing and quality assurance in previous roles.
✨Understand the Bigger Picture
Familiarise yourself with the NHS and private healthcare landscape in the UK. Be ready to discuss how your work can impact patient outcomes and contribute to the overall goals of the organisation. Showing that you understand the context of your role will set you apart.