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
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.
