Senior Consultant - Data Services in City of London

Senior Consultant - Data Services in City of London

City of London Full-Time 60000 - 80000 £ / year (est.) No home office possible
Evidencia Scientific Search and Selection Limited

At a Glance

  • Tasks: Lead impactful Real World Evidence studies for top Pharma/Biotech clients.
  • Company: Dynamic consultancy with a focus on health data science and innovation.
  • Benefits: Competitive salary, professional development, and collaborative work environment.
  • Other info: Opportunity to work with AI and trusted methodologies in a growing field.
  • Why this job: Make a real difference in healthcare by leveraging your expertise in a supportive team.
  • Qualifications: Expertise in epidemiology, statistics, and strong leadership skills required.

The predicted salary is between 60000 - 80000 £ per year.

As a Principal in Real World Evidence, you will bring deep subject matter expertise (e.g. in epidemiology, statistics, health data science) alongside excellent people leadership and client engagement skills.

The role:

  • Lead/oversee a range of RWE studies for Global Pharma/Biotech clients
  • Line manage & guide a talent team of technical experts
  • Stay close to delivery, providing senior level oversight on studies, QC, guidance on protocols/methods, typically leading teams of 3-6
  • Contribute to BD, scoping out client needs, converting RfP's, expanding flowing warm accounts (no hard sales target)
  • Work in a highly collaborative team providing integrated solutions across RWE, HEOR & Market Access
  • Contribute to a considered and credible approach to utilising AI alongside tried and trusted methodologies

Senior Consultant - Data Services in City of London employer: Evidencia Scientific Search and Selection Limited

As a Senior Consultant in Data Services, you will thrive in a dynamic and supportive work environment that prioritises employee growth and collaboration. Our company offers exceptional benefits, including professional development opportunities and a culture that values innovation and teamwork, making it an ideal place for those looking to make a meaningful impact in the healthcare sector.
Evidencia Scientific Search and Selection Limited

Contact Detail:

Evidencia Scientific Search and Selection Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Consultant - Data Services in City of London

✨Tip Number 1

Network like a pro! Reach out to your connections in the pharma and biotech sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise in epidemiology and health data science.

✨Tip Number 2

Prepare for interviews by brushing up on your leadership skills. Be ready to discuss how you've successfully managed teams and delivered high-quality results in previous roles. We want to see that you can lead a talent team effectively!

✨Tip Number 3

Showcase your collaborative spirit! During interviews, highlight examples of how you've worked with cross-functional teams to deliver integrated solutions. This is key in our world of Real World Evidence and Market Access.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Consultant - Data Services in City of London

Epidemiology
Statistics
Health Data Science
People Leadership
Client Engagement
Project Oversight
Quality Control (QC)
Protocol Development
Business Development (BD)
Client Needs Assessment
Integrated Solutions
AI Methodologies
Collaboration

Some tips for your application 🫡

Show Your Expertise: Make sure to highlight your deep subject matter expertise in areas like epidemiology and health data science. We want to see how your skills align with the role, so don’t hold back on showcasing your knowledge!

Leadership Matters: Since this role involves leading a team, share examples of your people leadership experience. We love to see how you’ve guided teams in the past and how you can bring that to our collaborative environment.

Client Engagement Skills: Demonstrate your client engagement skills by providing examples of how you've successfully managed client relationships. We’re looking for someone who can connect with clients and understand their needs, so make it clear how you’ve done this before.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better, so don’t miss out on that opportunity!

How to prepare for a job interview at Evidencia Scientific Search and Selection Limited

✨Know Your Stuff

Make sure you brush up on your knowledge of epidemiology, statistics, and health data science. Be ready to discuss how your expertise can directly benefit the company and their clients. Prepare examples from your past experiences that showcase your skills in these areas.

✨Showcase Leadership Skills

As a Senior Consultant, you'll be leading teams. Think about times when you've successfully managed a team or guided others. Be prepared to share specific instances where your leadership made a difference, especially in delivering projects or improving team dynamics.

✨Engage with Client Needs

Understand the importance of client engagement in this role. Research the company’s current clients and their needs. During the interview, demonstrate your ability to scope out client requirements and how you would approach converting RfPs into successful projects.

✨Collaborate and Innovate

This position requires a collaborative mindset. Be ready to discuss how you’ve worked with cross-functional teams in the past. Also, think about how you can integrate AI with traditional methodologies, as this is a key aspect of the role. Bring ideas to the table that show your innovative thinking.

Senior Consultant - Data Services in City of London
Evidencia Scientific Search and Selection Limited
Location: City of London

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