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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 in England 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 in England
✨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 when it comes to statistical methodologies and data analysis techniques relevant to healthcare.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Team Leader in England
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; demonstrate them! If you’ve worked on data cleansing or statistical analysis, include examples of how you tackled challenges and what tools you used. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at NEC Software Solutions
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data science and analytics, especially as it relates to healthcare. Brush up on your R programming skills and be ready to discuss how you've used them in past projects, particularly in managing large datasets or working with clinical registries.
✨Showcase Your Leadership Skills
As a Data Team Leader, you'll need to demonstrate your ability to lead and motivate a team. Prepare examples of how you've successfully managed workloads, conducted one-to-one meetings, and provided training opportunities for your team members. Highlight your experience in fostering a collaborative environment.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, data cleansing, and statistical methodologies. Be ready to explain your approach to problem-solving and how you’ve tackled challenges in previous roles. Practising common interview questions can help you articulate your thought process clearly.
✨Understand the Bigger Picture
Familiarise yourself with the NHS and private healthcare landscape in the UK, especially regarding performance outcomes for patients. Being able to discuss how your work aligns with improving patient safety and outcomes will show that you’re not just a data expert, but also someone who understands the impact of your work.