Director - Principal Engineer, Digital R&D DP&TS Platform and Data Engineering

Director - Principal Engineer, Digital R&D DP&TS Platform and Data Engineering Pfizer’s mission to deliver breakthroughs that change patients’ lives is rooted in our commitment to science and innovation. Within Discovery, Preclinical, and Translational Solutions (DP&TS), we accelerate the journey from target identification to clinical translation by leveraging advanced digital technologies, AI, and data‑driven insights. Role Summary We are building a high‑impact, outcome‑oriented platform engineering team focused on enabling scalable, secure, and resilient infrastructure and developer experiences. You will lead the design and development of platform and data engineering solutions that empower scientists to generate, analyze, and interpret complex biological and preclinical data at scale. Key Responsibilities Architect Scalable, Secure Data Platforms for Scientific Discovery: design and develop infrastructure that enables seamless ingestion, processing, and analysis of high‑dimensional biomedical, omics, and clinical datasets; ensuring reproducibility, compliance, and performance. Champion DevSecOps Across Research and Analytical Workflows: embed security and automation into development pipelines, ML model development, and platform operations to ensure privacy, compliance, security, and traceability. Foster Collaboration Across Scientific and Engineering Teams: bridge domain and technical expertise to align platform capabilities with research goals. Influence Technical Direction and Cross‑Functional Alignment: shape engineering roadmaps and advocate for cohesive platform strategies that balance innovation, risk management, and business priorities. Govern Platform Standards and Lifecycle Accountability: establish and uphold platform design standards, lifecycle policies, and governance models that maintain flexibility and scalability without compromising control or integrity. Uphold System Reliability and Analytical Accuracy: oversee platform health through robust observability, automated testing frameworks, incident response strategies, lifecycle governance, service level agreements, and audit trails that meet regulatory, compliance and industry principles (GxP, FAIR, etc.). Advance Responsible Innovation and Domain‑Specific AI Adoption: identify emerging technologies and champion thoughtful experimentation with AI/ML techniques while ensuring transparency, interpretability, and ethical data use in R&D contexts. Lead and Mentor Talent in Platform Engineering: guide engineers and scientists in best practices, critical thinking, and cross‑disciplinary collaboration to build future‑ready data and analytical platforms; foster a culture of continuous learning and technical excellence. Govern Platform Lifecycle and Scientific Data Stewardship: define standards and stewardship models for managing diverse research assets; balancing agility, traceability, and compliance throughout discovery lifecycles. Basic Qualifications Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline). 8+ years of hands‑on infrastructure and software engineering experience. Experience architecting scalable cloud‑based platforms (e.g., AWS, Azure). Building and securing data pipelines and infrastructure supporting advanced analytics and machine learning. Leading DevSecOps initiatives in regulated environments (e.g., GxP, HIPAA). Proficiency in Python, Typescript, Java, or other modern high‑level language. Expertise in infrastructure‑as‑code tools (e.g., Terraform, Ansible, CloudFormation, Helm) and CI/CD (e.g., GitHub Actions). Deep understanding of modern data architectures (e.g., lakehouses, distributed systems). Demonstrated experience with regulated data, compliance frameworks, and secure development practices. Ability to lead complex engineering efforts across global, cross‑functional teams. Fluent in English; capable of clear technical communication across scientific and engineering disciplines. Leadership breadth: influence and collaborate with peers, develop and coach others, oversee and guide colleagues to achieve meaningful outcomes and business impact. Preferred Qualifications Education: Master’s or PhD in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline). Experience supporting pharmaceutical R&D, life sciences, or computational biology. Familiarity with biomedical data standards (e.g., HL7 FHIR, CDISC) and FAIR data principles. Proven success in designing AI/ML platforms for scientific discovery or clinical research. Strong record of mentoring and growing engineering talent in high‑complexity domains. Thought leadership in platform strategy, ethical AI adoption, and responsible innovation. Experience influencing cross‑functional decisions, especially at the intersection of science and technology. Non‑standard Work Schedule, Travel or Environment Requirements Travel up to 10% may be required for business activities. Work Location Assignment: On Premise. Compensation The annual base salary ranges from $156,600.00 to $261,000.00. Additional compensation includes a performance bonus target of 20.0% of the base salary and eligibility for Pfizer’s share‑based long‑term incentive program. Benefits include a 401(k) plan with Pfizer matching contributions, retirement savings contributions, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits (medical, prescription, dental, vision). Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. For licensed physicians, reimbursement of recruiting expenses may constitute a reportable transfer of value. Contact our Talent Acquisition representative for more information. EEO & Employment Eligibility Pfizer is an equal‑opportunity employer. We comply with all applicable nondiscrimination laws and require permanent U.S. work authorization. Pfizer is an E‑Verify employer. #J-18808-Ljbffr