Senior Director, Head of Portfolio Strategy - Biotech

Proclinical Staffing
London
3 months ago
Applications closed

Related Jobs

View all jobs

Product Director - Digital Health

Head of Commercial Analysis and Reporting

Technical Director

Senior Director Artificial Intelligence/Machine Learning

Senior Data Science Director, London

Senior Data Scientist - Growth & Retention

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.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.