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

MSD

Principal Scientist leading lab automation and data-centric strategies in a biopharmaceutical company. Focused on enhancing pharmaceutical development through innovative technology integration and cross-functional collaboration.

Posted 7/20/2026full-timeRahway • New Jersey, Pennsylvania • 🇺🇸 United StatesLead💰 $173,200 - $272,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 ScienceExperience With Laboratory Automation And Process InformaticsStrong Understanding Of Data Classifications And Instrumentation WorkflowsAbility To Architect Scalable Data Collection And Processing SolutionsExcellent Communication And Interpersonal Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Laboratory AutomationProcess InformaticsScientific Data EngineeringData VisualizationData ProcessingData CollectionPAT (Process Analytical Technology)Time Series Data AnalysisSolution ArchitectureUser Story Development

Soft Skills

CreativityInterpersonal SkillsInfluencing Without AuthorityProject LeadershipCollaboration

Industry Keywords

BiologicsVaccinesSmall Molecule ModalitiesDigital WorkflowsData-Rich Technology EcosystemsCross-Functional ProjectsStakeholder EngagementMatrixed Environment

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days