Principal Scientist, DSCS Digital Technologies – Laboratory Automation, Time Series Data Strategy

• Design the lab of the future by developing technologies that integrate robotics, analytical instrumentation, and software into cohesive, high-performing solutions
• Deliver world-renowned science by partnering with researchers to understand experimental needs and convert them into scalable digital workflows
• Work at the intersection of multiple disciplines, collaborating with experts in automation, data science, modeling, IT, and the CMC community at large
• Lead high-impact projects from concept through deployment, working across teams and stakeholders to deliver meaningful outcomes
• Continuously improve existing digital technologies and automation platforms to enhance performance, usability, and reliability
• Empower others by providing hands‑on partnership, support, troubleshooting, and training to scientists using these technologies

Requirements

• A Ph.D. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field with at least 6 years of relevant experience
• A M.S. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field with at least 8 years of relevant experience
• A B.S. in Chemistry, Biochemistry, Engineering (i.e., Mechanical, Electrical, Chemical), Physics, Biology, Pharmaceutical Sciences, Material Science or a closely-related field with at least 10 years of relevant experience
• Highly motivated, technology-centric scientist or engineer with a demonstrated track record of modernizing pharmaceutical development practices that include biologics, vaccines, and small molecule modalities.
• Demonstrated experience with time series data, continuous data streams, scientific data engineering, laboratory or pilot plant automation, process informatics, PAT, or related data-rich technology ecosystems.
• Ability to architect and communicate scalable approaches for real-time, near-time, and post-batch data collection, processing, visualization, historization, contextualization, and consumption.
• Experience translating scientific and operational needs into data requirements, technical requirements, user stories, or solution architectures across multiple stakeholder groups.
• Strong understanding of how data classifications, data dimensions, instrumentation, workflows, users, criticality, and lifecycle considerations influence solution design and prioritization.
• Ability to work across multiple IT product lines and enterprise capabilities while balancing near-term business needs with sustainable long-term support models.
• Excellent communication skills, demonstrated creativity, effective interpersonal skills, and ability to influence without direct authority in a matrixed environment.
• Ability to lead complex, cross-functional projects under compressed timelines in a dynamic environment.

Core Competencies

Demonstrates expertise in developing integrated technologies for laboratory automation and data management, with a strong focus on translating scientific needs into scalable digital workflows. Proven ability to lead cross-functional projects and enhance existing digital technologies for improved performance and usability.

Highest-signal resume keywords

• Ph.D. In Chemistry, Biochemistry, Engineering, Physics, Biology, Pharmaceutical Sciences, Or Material Science
• Experience With Laboratory Automation And Process Informatics
• Strong Understanding Of Data Classifications And Instrumentation Workflows
• Ability To Architect Scalable Data Collection And Processing Solutions
• Excellent Communication And Interpersonal Skills

ATS Optimization Keywords

Hard Skills

• Laboratory Automation
• Process Informatics
• Scientific Data Engineering
• Data Visualization
• Data Processing
• Data Collection
• PAT (Process Analytical Technology)
• Time Series Data Analysis
• Solution Architecture
• User Story Development

Soft Skills

• Creativity
• Interpersonal Skills
• Influencing Without Authority
• Project Leadership
• Collaboration

Industry Keywords

• Biologics
• Vaccines
• Small Molecule Modalities
• Digital Workflows
• Data-Rich Technology Ecosystems
• Cross-Functional Projects
• Stakeholder Engagement
• Matrixed Environment