Pharma

Pharmaceutical organisations operate in highly regulated, science-led environments where research, clinical development, and commercial strategy must align. Success depends on transforming scientific innovation into safe and effective therapies that improve patient outcomes.

As the sector evolves, demand is increasing for leaders who can navigate complex development pathways, regulatory requirements, and market challenges. Competition for experienced talent remains high, particularly in specialist and leadership functions.

As Pharmaceutical organisations navigate complex development pathways and international regulatory frameworks, there is growing demand for leaders who combine scientific or medical expertise with strong operational and cross-functional leadership capabilities.

We understand the unique hiring challenges facing pharmaceutical companies. Our search process includes rigorous technical validation, assessing therapeutic area expertise, regulatory and submission experience, global clinical exposure, inspection history, and leadership capability to ensure every appointment supports innovation, growth, and long-term success.

R&D strategy and scientific transformation

Leaders who shape technology enabled R&D strategy, build multidisciplinary scientific teams and introduce new computational, data and experimental capabilities across drug discovery and development.

AI and Machine Learning

Scientists and engineers applying machine learning, foundation models and advanced analytics to target discovery, molecular design, translational research, clinical development and scientific decision making.

Computational chemistry and molecular modelling

Scientists applying cheminformatics, molecular modelling, simulation and machine learning to compound design, virtual screening, optimisation and small molecule drug discovery.

Scientific data and knowledge systems

Specialists building the data architecture, knowledge graphs, ontologies and scientific information foundations required to connect research data and support more effective R&D decisions.

Lab automation and experimental technology

Specialists introducing robotics, automation, instrumentation and integrated experimental workflows to improve the speed, reproducibility and scale of pharmaceutical research.

Translational, biomarker and clinical data sciences

Scientists combining biological, biomarker and clinical data to support patient stratification, evidence generation, precision medicine and the progression of therapeutic programmes.

Brief & Discovery

We spend time understanding the science, the team and what success looks like — not just the job description.

Market Mapping

We identify the relevant talent pool — active and passive — and approach candidates with context and credibility.

Shortlist Delivery

You receive a tight, qualified shortlist — typically 3 to 5 candidates — with our assessment of each.

Live Pharma Roles

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