Associate Director, Automation, R&D Digital Products

Position Overview

We are looking for an innovation-centric Intelligent Automation Architect R&D Digital Products, who is passionate about designing and implementing automation solutions to streamline and optimize clinical development and research processes, to join our IT R&D Digital Products team. This role requires a deep understanding of the biopharma industry, research, clinical development operations, and the latest automation technologies. The ideal candidate should have experience delivering technology solutions in a pharmaceutical or regulated environment, managing large‑scale enterprise software requirements, and working in a compliance‑driven GxP environment.

• Execute intelligent automations tailored for R&D functions such as Research Informatics, SDMS, Lab Management Systems, Research Data products, Pathology, Imaging, Pharmacology, Development Operations, etc.
• Design, develop, and deploy automations that integrate with AWS Data Lakes, big data, analytics, AI, and machine learning.
• Design and develop solutions using intelligent automation tools and platforms such as RPA, Power Platform, UiPath, Blue Prism, and Automation Anywhere to streamline and optimize processes in Clinical Development Operations for biotech/Pharma.
• Use modular building blocks and development accelerators to create automation in a fraction of the time.
• Leverage microservices architecture for automations, intelligent scheduling, and process on‑demand features to manage scale and optimize costs and performance.
• Apply innovative solutions to optimize legacy systems, elevate automation to a strategic IT capability, and accelerate the organization’s digital agenda.
• Collaborate with business stakeholders, analysts, and engineers to understand requirements, design solutions, and deliver high‑quality products.
• Collaborate with POD Managers, Product Owners, and Business Leaders to execute high‑level designs of automations, ensuring alignment with business objectives.
• Ensure rapid and continuous integration of automation into business operations, implementing ALM, Dev Ops, continuous integration, and deployment.
• Monitor, troubleshoot, and maintain the automations and platform, ensuring reliability, availability, and scalability. Test, debug, and deploy solutions while ensuring quality, performance, and security.
• Contribute to improvement and innovation of the automation platform and processes by active participation in the Architecture Community of Practice.
• Collaborate closely with cross‑functional teams, including Technical Product Owners, Delivery Leads, developers, UI/UX SMEs, data engineers, visualization engineers, data scientists, AI/ML Engineers, Bioinformaticians, and domain experts to deliver automations using a multi‑environment, DLP strategy.
• Stay current on the latest trends and technologies in intelligent automation, cloud computing, AI/ML, big data architecture, and seek opportunities for continuous improvement.

• Experience in Life Sciences, Biotech, or Pharma industry.
• Master’s degree in computer science, information systems, engineering, or a related field (preferred).
• Bachelor’s degree in computer science, engineering, or related field.
• At least 5 years of experience in automation development, testing, and deployment using cloud‑based platforms and tools.
• Proficient in one or more programming languages such as Python or Java, and process automation/RPA tools such as Power Platform, UiPath, Blue Prism, or Automation Anywhere.
• Knowledge of cloud computing concepts and services such as AWS, Azure, or Google Cloud Platform.
• Experience applying AI, machine learning, and big data techniques to automate complex business processes.
• Ability to design, develop, and maintain modular, scalable, and reusable automation solutions using best practices and standards.
• Experience in data architecture, modeling, integration, analysis, and data visualization is a plus.
• Strong problem‑solving, analytical, and communication skills.
• Experience working with legacy systems and integrating them with cloud‑based automations.
• Familiarity with agile methodologies and Dev Ops practices.
• Certification in cloud computing, Power Platform, or relevant automation tools/AI/ML is a plus.

Position based out of Princeton, NJ; onsite 60% of the time. Salary range: $—$. Additional compensation such as bonuses may be available.

We are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success. No applicant shall be discriminated against or treated unfairly because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information. We are committed to protecting your personal data and privacy.

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