Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Projects and Analytical Solutions

Veramed
Nottingham
7 months ago
Applications closed

Related Jobs

View all jobs

Claims Data Scientist

Summer Placement Data Science & Innovation

Claims Data Scientist

Naimuri - Senior Data Scientist

Naimuri - Senior Data Scientist

Data Scientist - Operations Strategy team

Veramed is looking for a Head of Projects and Analytical Solutions to lead and manage approximately 100 professionals, including statisticians, programmers, data managers, and technologists across Europe, India, and North America.

This strategic leadership role focuses on delivering high-quality biometrics and data management services, ensuring operational excellence, and achieving financial targets. You will play a pivotal role in driving growth, maintaining strong client relationships, and ensuring optimal project delivery in line with organizational goals.

Strong leadership and people management capabilities are a must. With a Master’s degree (or equivalent) in Biostatistics, Data Science, Life Sciences, Business Administration, or a related field and 10+ years of progressive leadership experience in biostatistics, clinical research, or related life sciences consulting organizations.


Key responsibilities:


P&L Ownership:

  • Full ownership of a profit and loss statement, ensuring revenue management and sustained profitability.
  • Develop and execute strategies to meet and exceed financial targets.


Strategic Leadership:

  • Drive commercial activities with business development and account management teams to win project-based work
  • Keeping a pulse on the market to understand client needs, recommend new product and service offerings, develop go-to-market strategies with the commercial team to drive a suite of project-based services
  • Lead and inspire a diverse, cross-functional team of professionals across multiple regions.
  • Define operational strategies to drive scalable and efficient project delivery.


Client and Account Management:

  • Work closely with Account Managers to ensure client satisfaction, retention, and growth.
  • Establish strong relationships with key clients, serving as an executive sponsor when required.
  • Ensuring high quality delivery, compliance and client satisfaction


Project Management & Resourcing:

  • Oversee project resourcing strategies to ensure projects are staffed with the right talent at the right time.
  • Manage projects against target margins and timelines, including near- and long-term forecasting for a comprehensive view of portfolio profitability
  • Implement best-in-class project management practices to deliver on time, within scope, and on budget.


Service Line Leadership:

  • Manage and collaborate with Service Line Leads (Statistics and Programming, DMC, Statistical Consulting, Evidence & Value Generation, Data
  • Management and Technology) to refine service offerings and develop innovative solutions.
  • Ensure service lines meet evolving industry demands and regulatory requirements.


Talent Development:

  • Foster a culture of excellence, collaboration, and professional growth.
  • Oversee talent management strategies, including recruitment, retention, and succession planning.


Minimum Qualification Requirements

Education:

  • Master’s degree (or equivalent) in Biostatistics, Data Science, Life Sciences, Business Administration, or a related field.


Experience:

  • 10+ years of progressive leadership experience in biostatistics, clinical research, or related life sciences consulting organizations.
  • Proven experience with P&L management
  • Extensive background managing cross-functional, global teams.


Skills:

  • Strong leadership and people management capabilities.
  • Excellent communication and interpersonal skills, with the ability to manage senior client relationships.
  • Understanding of project management methodologies and resourcing strategies in a consulting environment.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.