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- Tasks: Lead a team of data scientists and analysts to drive innovative healthcare data solutions.
- Company: Join NEC Software Solutions, a leader in healthcare technology with a collaborative spirit.
- Benefits: Enjoy private medical cover, generous holiday, and flexible benefits tailored to you.
- Other info: Flexible hybrid work options and opportunities for professional growth in a dynamic environment.
- Why this job: Make a real impact on healthcare by developing new registries and improving data reporting.
- Qualifications: Postgraduate degree in a quantitative field and expert R programming skills required.
The predicted salary is between 55000 - 65000 £ per year.
In the Healthcare (registries) division of NEC Software Solutions you will oversee a team of data scientists and data analysts, managing workloads, fostering skill development, coordinating reports, contributing to statistical oversight, exploring machine learning opportunities, and supporting the development of the DSA team. The role focuses on data in clinical registries, working closely with the data science team, clinicians, and stakeholders to develop new registries and health data reporting procedures for NHS and private UK healthcare providers. It offers flexibility for hybrid or fully remote work, with occasional travel to offices in Hemel Hempstead or other NEC/NHSE locations.
Key Responsibilities
- Oversee a team of data scientists and data analysts
- Prioritise and schedule the competing workloads of the team to meet delivery timelines
- Lead regular update and 1-to-1 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 data sets for registry‑specific analytical opportunities
- Coordinate and assist with the generation of regularly scheduled and bespoke reports, including the plotting of charts using standard libraries
- Take charge of data cleansing, quality assurance and supporting integration
- Contribute ideas to improve productivity and delivery
- Liaise with members of the 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 their reporting and analytical needs
Qualifications
- A postgraduate degree in computer science, statistics, biology or a related quantitative discipline
- Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling
- Experience leading a team of data scientists or analysts
- Proficiency with SQL (Azure) for data manipulation, extract creation and aggregation of data from disparate sources
- Proven experience cleansing, processing and managing large data sets
- Proven experience responding creatively to analytical briefs
- Experience with data warehouses and open database connectivity
- Statistical expertise (including survival analysis and predictive modelling)
- The ability to deliver under pressure and without regular supervision
- Proven problem‑solving skills and ability to work to deadlines
- Self‑motivation and a flexible approach to work
- The ability to thrive in a collaborative team environment
Desirable qualifications and experience:
- Experience working with health data including clinical data registries
- Experience working with ‘unclean’ data and free text
- An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety
- Experience using Snowflake/DBT
- Prompt Engineering for Github Copilot or equivalent
Benefits
- Private medical cover funded by NEC for employees (option to add family members at an additional cost)
- 25 days paid holiday with the option to buy/sell
- 4× basic salary life assurance cover funded by NEC (option to increase cover at an additional cost)
- A group pension plan with employer contributions up to 8.5%
- A selection of flexible benefits to suit individual needs
Employment and Equality
Candidates must be able to demonstrate a pre‑existing right to work and travel within the UK. All offers are subject to successful vetting and reference checks. A Disclosure Barring Service (DBS) check and UK Security Clearance may be required. NEC Software Solutions is an equal‑opportunity employer that welcomes applications from all communities and is committed to providing reasonable adjustments for accessibility needs.
Data Team Leader in England employer: NEC Software Solutions (India)
Contact Detail:
NEC Software Solutions (India) 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 healthcare. Use platforms like GitHub to share your code and analyses. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by practising common questions related to data leadership and analytics. Think about how you would manage a team of data scientists and analysts. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t forget to tailor your application to highlight your experience with clinical data and team leadership!
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 speaks directly to the job description. Highlight your experience with data science, team leadership, and any relevant skills like R programming and SQL. We want to see how you fit into our Data Team Leader role!
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 your background makes you the perfect fit for our team. Don’t forget to mention your experience with clinical registries if you have it!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data management or analysis. We love seeing creative solutions, especially in high-pressure situations. Let us know how you can bring that to our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at NEC Software Solutions (India)
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data management and analysis, especially in healthcare contexts. Brush up on your R programming skills and SQL proficiency, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading teams of data scientists or analysts. Think about how you've managed workloads, fostered skill development, and coordinated reports in previous roles. Be ready to discuss your approach to 1-to-1 meetings and team motivation.
✨Understand the Clinical Landscape
Familiarise yourself with clinical registries and the specific needs of NHS and private healthcare providers. Being able to speak knowledgeably about how data impacts patient care will set you apart from other candidates.
✨Be Ready for Problem-Solving Scenarios
Expect to tackle some real-world analytical challenges during the interview. Prepare to discuss how you’ve creatively responded to analytical briefs in the past, particularly with unclean data or complex datasets. This will demonstrate your problem-solving skills and adaptability.