Principal Statistician
Veramed is recruiting a Senior CMC Statistician to join our growing Functional Service Provider (FSP) team, supporting a leading global pharmaceutical organisation.
This is a unique opportunity for an experienced statistician looking to apply advanced quantitative methods to a broad range of scientific and technical challenges. Working within a highly collaborative environment, you'll partner directly with scientists and researchers to influence key decisions across research, development and manufacturing programmes.
Unlike traditional statistics roles, this position offers exposure to a diverse range of scientific disciplines, data types and analytical approaches, making it an excellent opportunity for someone who enjoys solving complex real-world problems.
Why Join Us?
Influence critical R&D and manufacturing decisions within a global pharmaceutical environment
Work on diverse scientific challenges spanning assay development, process development, laboratory automation and manufacturing sciences
Gain exposure to cutting-edge analytical approaches, including Bayesian statistics, machine learning, AI and advanced modelling techniques
Analyse a variety of complex datasets, including imaging, signal processing, digital health and other high-dimensional data sources
Collaborate directly with scientists from study design through to data interpretation and decision-making
Join an innovation-focused team that encourages new methodologies and creative problem-solving
Benefit from a strong learning culture that supports the development of expertise across new scientific domains
Be part of an internationally connected team with opportunities across Europe
Key Responsibilities:
Provide statistical leadership and expertise across CMC and preclinical projects
Design studies and contribute to experimental strategy and hypothesis development
Perform end-to-end statistical analyses, including study design, analysis planning, data preparation, analysis and reporting
Develop bespoke analytical solutions and data analysis pipelines using modern statistical and programming tools
Apply advanced statistical methodologies to address complex scientific questions
Partner with multidisciplinary teams to ensure statistical approaches align with programme objectives
Identify and implement innovative analytical methods to enhance existing capabilities
Communicate risks, challenges and opportunities that may impact project delivery
We're interested in speaking with statisticians who have experience in one or more of the following areas:
Assay development and analysis
Industrial experimental design
Pharmaceutical sciences
Bayesian statistics
Frequentist statistics
Machine learning and artificial intelligence
Process development or manufacturing sciences
You do not need experience across all of these areas. We recognise that the ideal candidate is unlikely to possess every skill listed. We're looking for individuals with strong statistical foundations, intellectual curiosity and a passion for applying quantitative methods to complex scientific problems.
Experience within any of the following areas would be particularly valuable:
Signal processing
High-frequency data analysis
Electrophysiology
Digital health technologies
Glucose monitoring data
High-resolution imaging data analysis
Location:
We're particularly interested in candidates based in Europe and welcome applications from individuals looking to join an internationally focused team in a flexible working environment.
Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability.
As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.