We are seeking an experienced Principal Statistician to join our growing team. The successful applicant will work as part of global teams, supporting pharmaceutical, biotechnology and medical device companies across many therapeutic areas. Quanticate values quality first, integrity, care, people, commitment to delivery, and inspiration. As such, employees are offered flexible and friendly working conditions, competitive pay, industry-leading benefits, and opportunities for progression, in an environment where they are mixing with the very best experts in the field. As Principal Statistician, you will be responsible for the development, validation, and implementation of statistical models and providing statistical support for clinical studies. You will serve as a Statistical Lead for large-scale clinical trials across various therapeutic areas, ensuring that all deliverables are achieved on time and to a high level of quality. You will lead Statistical Consultancy Projects, advising clients on all aspects of statistical trial design and conduct. Key to the role is, the ability to provide face to face advice to clients on all elements of study design, whether frequentist or Bayesian in nature. Having experience of using simulation methods in trial design would be an advantage but not essential. Through all activities you will also provide guidance and mentorship to other statisticians in the group. Responsibilities - Serve as lead statistician for clinical trials including planning, analysing, and reporting, ensuring that all deliverables are met on time and to a high level of quality. - Develop and validate statistical models and analyses based on study protocols. - Write statistical analysis plans and reports. - Provide guidance and mentorship to other statisticians in the group. - Collaborate with cross-functional teams to develop study protocols and ensure they meet regulatory requirements. - To potentially take line management responsibility for junior statisticians within the team. - To lead statistical consultancy projects as required, providing expert statistical advice on all statistical aspects of study design and conduct. - Perform ad hoc statistical duties as required Quanticate is the world leading data-focused CRO, and we often work with our customers on their complicated clinical trials which require a high level of statistical programming, statistics and data management input. We need talented individuals to help us fulfil our customers’ needs. Our customers range from top global pharmaceutical companies where you can work as an integrated team member on a world leading clinical program, to small biotechs that are taking their first steps in clinical development We strongly advocate career development providing membership to professional societies, encouraging your involvement in their activities and committees. Together we can help you build the career you want – developing your skills, working on challenging problems, to ultimately develop clinical therapies that matter.

Role Description Centessa is seeking a Senior Scientist in Discovery DMPK to partner with pharmacologists and medicinal chemists to support the identification of lead candidates with optimal DMPK properties for potential progression into development. Reporting to the Executive Director, DMPK, this role requires understanding of pharmacokinetic (PK), pharmacodynamic/pharmacokinetic (PK/PD), and ADME principles to enable triaging & progression of small molecule leads. A qualified candidate will have previous experience in PK and PK/PD modeling, ideally for CNS drug candidates, and an understanding of vital ADME properties for CNS drug candidate progression. Key Responsibilities - Design profiling strategies (including in vitro ADME assays) to evaluate compounds and series emerging from hit identification effort - Design PK/PD strategies to advance lead identification and optimization series - Protocol development and data analysis of PK and PK/PD studies for proof-of-concept studies - Review statements of work (SOWs) to ensure alignment with project objectives - Analyze and interpret in vitro and in vivo PK and PK/PD data, ensuring accuracy and consistency - Utilize AI tools in prediction of PK properties and guide the use of such technology in supporting SAR development in lead identification and optimization phases - Author and review compound checklists for drug candidate progression - Represent the DMPK function in project team meetings; present results and contribute to data-driven decision-making. Qualifications - Ph.D. in Pharmaceutical Sciences, Pharmacology or a related field - Minimum of 4 years of industry experience in a biotech or pharmaceutical setting - Proficiency with Phoenix WinNonlin and other software for PK and PK/PD modeling in small molecule drug discovery is essential - Previous work in the early discovery and lead optimization of CNS drug candidates is essential - Strong analytical and problem-solving skills - Demonstrated ability to work cross-functionally and communicate scientific findings clearly and effectively - Collaborative mindset and sense of urgency - Proactive and excellent communication skills Requirements - The annual base salary range for this position is $160,000 - $180,000. - Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. - This role is eligible for a discretionary annual bonus and participation in our equity program. Benefits - Comprehensive benefits package, which includes a 401(k) plan - Company-sponsored medical, dental, vision, and life insurance - Generous paid time off - Health and wellness program Work Location - The Sr. Scientist, DMPK is a remote role based in the US, with infrequent travel (~10%). EEOC Statement Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

• Own analytical frameworks that guide the product roadmap. • Design rigorous experiments and interpret results to draw detailed and actionable conclusions. • Develop statistical models to extract trends, measure results, and predict future performance of our products. • Build simulations to project the impact of various product and policy interventions. • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools. • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. • Present findings in a compelling way to influence Instacart’s leadership.

• Own analytical frameworks that guide the product roadmap. • Design rigorous experiments and interpret results to draw detailed and actionable conclusions. • Develop statistical models to extract trends, measure results, and predict future performance of our products. • Build simulations to project the impact of various product and policy interventions. • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools. • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. • Present findings in a compelling way to influence Instacart’s leadership.