Own the orchestration layer and agent architecture behind the Innovation, Data & Analytics team's AI-based workflows, building and hardening agentic systems that translate analytical methodology into reliable production tools.
A Senior Manager, Data Scientist in Pfizer's Innovation, Data & Analytics (IDA) Team leads the design and implementation of advanced analytical and AI-driven solutions to support data-informed decision-making across Medical Affairs. The role involves developing machine learning and natural language processing models, defining evaluation frameworks, and translating complex medical and business questions into robust analytical approaches. Collaboration with data engineering, AI/ML teams, and governance stakeholders is central, with an emphasis on responsible AI, scalability, and production-ready workflows using real-world healthcare data.
Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work on foundational models like Diffusion networks, Transformers, and GNNs, building robust infrastructure and data pipelines while collaborating closely with scientists. Focus on advancing a digital biology platform to accelerate rational drug design across multiple therapeutic areas.
A Research Scientist focused on applying Large Language Models to drug discovery, working in interdisciplinary teams to develop novel AI-driven approaches for biological and chemical challenges. The role involves advancing LLM techniques such as post-training, reasoning, tool-use, and alignment within a cutting-edge AI research environment. Collaboration with scientists and engineers is central to developing predictive models that accelerate rational drug design.
This role involves monitoring and enhancing security across endpoints, cloud platforms, and networks, with a focus on detection engineering, incident response, and threat intelligence. The engineer will develop detection rules, respond to security incidents, and collaborate with IT and research teams to integrate security into scientific workflows. Work includes tuning SIEM and EDR tools, managing vulnerabilities, and improving security posture in a high-stakes research environment.
This role leads the design and delivery of transformation-ready vectors and genome editing reagents for crop improvement programs, focusing on molecular construct development for gene editing and transgenic approaches in species like corn and wheat. The position establishes industrial-grade design standards, ensures technical robustness and regulatory alignment, and integrates with high-throughput transformation pipelines. It involves close collaboration with genotyping, automation, and commercial teams to enable scalable, traceable, and auditable vector development from concept to release.
Leads vaccine safety sciences functions, ensuring compliance with pharmacovigilance regulations and global safety standards. Oversees signal detection, safety data analysis, and regulatory documentation while guiding process improvements and cross-functional initiatives. Manages teams and supports regulatory inspections, safety reporting, and the implementation of data visualization tools for enhanced decision-making.
This role leads the statistical strategy for clinical development programs, overseeing study design, data analysis, and regulatory submissions. The individual will guide biostatistical input across trials, interact with regulatory authorities, and ensure accurate reporting of results. Collaboration with cross-functional teams and oversight of internal or outsourced programming efforts are key aspects of the position.
This role involves leading the development and deployment of Lab-in-an-Automated-Loop (LIAL) systems, integrating computational intelligence with physical laboratory experimentation. Responsibilities include collaborating with cross-functional teams to design and implement these systems, translating scientific requirements into technical solutions, and driving innovation through AI and data-driven methods.
Lead statistical strategy for oncology clinical development, from study design through regulatory submission, using advanced methods like Bayesian approaches and real-world data. Partner with cross-functional teams to deliver robust analyses and influence key decisions. Drive innovation in trial design and evidence generation within a global biopharma environment.
This role involves leading the end-to-end clinical supply chain strategy for global trials, managing demand forecasting, packaging, labeling, distribution, and inventory. You will work closely with cross-functional teams to ensure supply strategies align with trial milestones and commercial readiness, leveraging AI and advanced tools to optimize processes.
Conduct genomic analysis of commensal bacteria and antimicrobial resistance in pigs on commercial farms in Catalonia. Combine longitudinal sampling with deep sequencing to study within-host bacterial diversity, strain dynamics, and AMR gene transmission. Work across field, lab, and bioinformatics components in an interdisciplinary team investigating the impact of antimicrobial treatment on resistance spread.
This is a general talent network sign-up opportunity rather than a specific job role. Candidates can submit their resume for future consideration at Recursion, a clinical-stage TechBio company using AI and automated biology to accelerate drug discovery. The company emphasizes bold, ethical innovation and cross-functional collaboration to address unmet medical needs.
This role involves coordinating administrative and operational activities for Global Clinical Operations, managing complex calendars, meetings, and communications. You will support team processes, financial activities, and continuous improvement initiatives in a global, complex environment.
The Vendor Program Head leads the vendor strategy and management for clinical development programs within a specific disease area. Key responsibilities include overseeing vendor execution, building high-performing teams, and ensuring alignment with development priorities and quality standards.
