Senior Director, Head of Portfolio Strategy - Biotech

Proclinical Staffing
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Media Strategist

Communications Co-ordinator

Associate Director - Technology Risk

Head Of Product

Director of Culture and Operations

Financial Controller

Proclinical is seeking a dynamic individual to lead the development and evolution of AI-driven target-indication exploration and evaluation products. This role focuses on integrating biotechnology with artificial intelligence to drive innovation. The successful candidate will work closely with cross-functional teams, including experts in AI, data science, and biology, to guide product development and ensure alignment with scientific and business goals.

Responsibilities:

  • Lead the design and strategic development of AI decision-making tools for target nomination.
  • Collaborate with domain experts to integrate scientific, medical, and business insights into products.
  • Drive cross-functional project management to ensure timely and innovative delivery.
  • Engage with stakeholders to align product evolution with business and scientific objectives.
  • Demonstrate strategic agility and adapt plans based on new data or circumstances.
  • Apply critical thinking and innovative methodologies to enhance the development lifecycle.

Key Skills and Requirements:

  • Advanced degree in life sciences with a quantitative focus; experience in commercial aspects of biotechnology.
  • Experience in biotech, pharma, or tech-bio companies, particularly in leadership roles.
  • Strong skills in stakeholder engagement, team leadership, and cross-functional project management.
  • Understanding of AI/machine learning applications in life sciences and proficiency in data analytics.
  • Strategic acumen, analytical skills, and scenario planning abilities.
  • Proactive and able to work autonomously while fostering collaboration and inclusion.
  • Innovative mindset and critical thinking.

If you are having difficulty in applying or if you have any questions, please contactHarry Qureshiat



Apply Now:

If you are interested in learning more or applying to this exciting opportunity, please complete the form below and attach a copy of your CV. Alternatively, for further details or to talk directly to a life sciences recruitment specialist, please request a call back at the top of this page.

Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Careers

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.