Director of Data Science

Engitix
London
1 month ago
Applications closed

Related Jobs

View all jobs

Director of Data Science & AI – Global Manufacturing Transformation

Director of Data Science & Analytics

Director of Product - City of London

Lead Data Scientist[975963]

Principal Data Scientist - NLP

Head of Data Engineering & Governance

Your mission

We are seeking a Director of Data Science to lead a high-impact team driving data-driven insights and platform development. The Director will oversee two complementary efforts:

  • A portfolio delivery team focused on applying computational and bioinformatics approaches to internal and external discovery efforts
  • A platform development team responsible for building scalable infrastructure, computational tools, and ML/AI-driven capabilities to support ongoing and future research

Key Responsibilities:

Strategic Development

  • Provide strategic direction for data science initiatives, ensuring alignment with company research goals and priorities across all stages of drug discovery, from target ID and validation to translational studies
  • Work closely with internal and external discovery teams, bioplatforms, and external partners to support research and translational objectives, balance immediate project needs with long-term platform development, and optimize resource allocation and execution

Team & Organizational Management

  • Directly manage a small team delivering project-driven analyses across multiple therapeutic areas, and a Platforms lead responsible for delivering scalable, reusable computational tools and data infrastructure
  • Foster a collaborative, high-accountability culture that encourages scientific rigor, innovation, and cross-functional engagement
  • Drive recruitment, mentorship, and career development within the data science team
  • Champion best practices in reproducible research, data governance, and AI/ML model deployment

Technical Leadership & Innovation

  • Stay current on emerging AI/ML approaches, including structural biology (e.g., AlphaFold-style models), multimodal analytics (e.g., integration of omics, imaging, text), and digital pathology image analysis
  • Ensure that ML/AI innovations are effectively translated into research impact, working closely with experimental biologists and therapeutic area leads
  • Guide the application of bioinformatics and statistical methods to functional genomic screens (e.g., CRISPR, RNAi, perturbational assays), as well as scalable computational approaches to target and biomarker discovery and validation

Your profile

The ideal candidate has worked throughout drug discovery, from target identification and validation, to lead discovery and optimization, through to partnering with translational teams on preclinical and biomarker studies. They bring deep expertise in bioinformatic analysis of high-throughput functional genomic screens and proteomics, stay at the forefront of ML/AI innovations in structural biology, multimodal analytics, and/or imaging, and have a proven track record of leading and mentoring teams in biotech or pharmaceutical settings.

Required

  • Ph.D. (or equivalent experience) in Bioinformatics, Computational Biology, Machine Learning, or a related field
  • 10+ years of experience in computational biology, bioinformatics, or AI/ML with at least 5 years in biotech or pharma industry
  • Broad technical fluency across omics, imaging, AI/ML, and statistical modeling approaches
  • Expertise in analyzing high-throughput functional genomic screens (e.g., CRISPR, RNAi, Perturb-seq)
  • Strong knowledge of AI/ML applications in structural biology, multimodal data integration, and/or imaging
  • Demonstrated experience building and leading high-performing data science teams, including direct people management and developing other leaders
  • Ability to balance competing priorities across platform development and project execution

Preferred

  • Experience working in drug discovery, target identification, or precision medicine
  • Track record of successful collaboration with wet-lab scientists and research leadership
  • Familiarity with cloud-based computational infrastructure (AWS, GCP) and scalable bioinformatics workflows

Why us?

  • Be part of a motivated, dynamic team supporting cutting edge drug discovery
  • Constant opportunities to learn, grow, and explore the many opportunities for data science to have impact on drug discovery and development
  • State of the art offices at The Westworks, White City London
  • Competitive reward package including private medical insurance, bonus, pension, and much more!

About us

Engitix is a growing biotech company based in White City Place, West London. We are dedicated to developing better therapies for advanced fibrosis and solid tumours by leveraging our pioneering extracellular matrix (ECM) platform. Our platform allows the synthesis of realistic in vitro 3D models that serve as tools to transform our ability to identify new targets and biomarkers, determine mechanisms of action and more accurately predict the efficacy of therapeutic candidates. 

Join us today in our mission to create a healthier future for patients with life-threatening diseases such as fibrosis and cancer.

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.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Jobs

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Jobs

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

🍪 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.