AI/ML Senior Associate Scientist

ROLE SUMMARY

As a core member of our AI/ML, Quantitative & Digital Sciences (AQDS) team, you will:

• Design, implement, and maintain full-stack applications that integrate advanced Machine Learning (ML) techniques with internal and external data sources.
• Develop and apply generative AI techniques using large language models (LLMs) to automate the generation of essential clinical trial documents.
• Collaborate with cross-functional teams to architect and develop scalable, cloud-native microservices and APIs for AI/ML tools aimed at optimizing patient recruitment, site selection, and clinical trial management, incorporating generative AI capabilities to streamline authoring workflows.
• Leverage modern front-end frameworks (e.g., React, Angular, Vue) to build intuitive user interfaces that provide real-time insights from ML models and facilitate decision-making for clinical operations, including AI-generated document review and customization.
• Work closely with DevOps and data engineering teams to streamline CI/CD pipelines, automate infrastructure as code (IaC), and ensure secure deployment of AI/ML models, including generative AI systems, across cloud environments (AWS, Google Cloud, Azure).
• Implement AI/ML models in full-stack systems, ensuring robust backend processing and efficient front-end data visualization.
• Engage with both internal and external stakeholders to continuously bring the latest advancements in generative AI, full-stack development, and AI/ML technologies to Pfizer, contributing to thought leadership through publications and presentations.

ROLE RESPONSIBILITIES

• Partner with key therapy areas (e.g., Immunology & Inflammation, Oncology, Internal Medicine) to identify scientific and technical challenges, define data pipelines, and implement full-stack solutions that leverage AI/ML methods, including generative AI models, to generate actionable insights and automate clinical trial documentation.
• Translate complex clinical data and analytics requirements into full-stack digital products, ensuring that development priorities align with the overall clinical development goals.
• Lead the end-to-end development of full-stack applications, from database schema design and API development to front-end user interfaces, ensuring seamless integration with AI/ML workflows and LLM-powered document generation systems.
• Supervise and guide the deployment of robust back-end services that support predictive and classification algorithms, as well as generative AI models, ensuring scalability, security, and performance.
• Develop and maintain dashboards and data visualization tools that provide clinical and operational teams with real-time analytics and insights driven by advanced ML models, while integrating tools for generating and reviewing AI-authored clinical trial documents.
• Maintain an active external network in the AI/ML, generative AI, and full-stack development communities, continuously monitoring state-of-the-art capabilities and evaluating their potential impact on Pfizer's development teams.

QUALIFICATIONS

Basic Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Bioinformatics, Computational Biology, or a related technical discipline.
• Minimum of 2 years of experience in full-stack development in the pharma, biotech, or tech industry.
• Proficient in full-stack development, including back-end technologies , Django, Flask) and front-end frameworks (React, Angular, Vue).
• Strong understanding of database technologies (SQL, NoSQL) and experience in designing RESTful APIs and microservices architectures.
• Experience with AI/ML model integration, including developing APIs to interface with ML models and building front-end components for real-time data visualization.
• Experience working with large language models (LLMs) for generative AI applications.
• Strong programming skills (Python, JavaScript, R) and familiarity with cloud technologies (AWS, Google Cloud, Azure).
• Experience working with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure automation tools (Terraform, Ansible).
• Strong written and verbal communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Preferred Qualifications

• Master's degree in a technical or scientific discipline (e.g., Computer Science, Computational Biology, Engineering).
• Hands-on experience with the full-stack development of clinical trial management systems, focusing on integrating AI/ML-driven insights into clinical workflows, and automating document generation through LLMs.
• Proven experience leading end-to-end clinical development projects, particularly in Phases 2 and 3, from study design to regulatory submission.
• Experience with data engineering workflows, including ETL processes, data lakes, and scalable data architectures.
• Prior experience working with distributed teams across multiple time zones is a plus.

Please apply by sending your CV and a motivational letter in English

Work Location Assignment: Hybrid

Purpose

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here

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