Senior Scientist, DSCS Digital Technologies – Laboratory Automation, Scientific Data Integration

MSD

. Identify, develop, and deploy digital and data-rich technologies to improve Process, Product, and Analytical understanding .

Posted 11/2/2026full-timeUnited StatesSenior💰 $117,000 - $184,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying digital technologies for laboratory automation and data integration, with a strong foundation in scientific research and programming. Capable of leading projects that enhance analytical workflows and improve process efficiencies in a pharmaceutical context.

Highest-signal resume keywords

Ph.D. In Chemistry, Biochemistry, Engineering, Physics, Biology, Pharmaceutical Sciences, Computer Science, Data Science, Or Material ScienceProficient In Python And/or R ProgrammingExperience With ETL/ELT Processes And Building Data PipelinesUnderstanding Of (Bio)Pharmaceutical Process Research And DevelopmentExcellent Communication And Interpersonal Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingR ProgrammingETL/ELT ProcessesData Pipeline DevelopmentLaboratory AutomationRobotics IntegrationData VisualizationScientific Data EcosystemsSemantic Context IntegrationCross-Functional Project Leadership

Soft Skills

Excellent CommunicationCreativityInterpersonal SkillsTeam CollaborationIndependent Problem Solving

Tools & Technologies

JupyterPosit/RStudioVS CodeGitGitHub

Industry Keywords

Pharmaceutical DevelopmentDrug Product DevelopmentAnalytical DevelopmentLaboratory Systems IntegrationDigital Workflows

Tech Stack

Tools & technologies

ERPETLPython

About the role

Key responsibilities & impact

Identify, develop, and deploy digital and data-rich technologies to improve Process, Product, and Analytical understanding
Leverage digital technologies to enable chemistry, manufacturing, and controls activities across small molecule, biologics, and vaccines portfolios
Enable FAIR, AI-ready scientific data ecosystems across the development lifecycle
Integrate, orchestrate, and visualize laboratory systems and workflows
Independently own and deliver technical solutions connecting laboratory equipment, automation systems, and data pipelines
Integrate instrument and equipment platforms with semantic context and data systems for end-to-end digital workflows
Collaborate with automation, data science, modeling, IT, knowledge capture, and chemistry, manufacturing, and controls experts
Partner with researchers to translate experimental needs into scalable digital workflows
Lead high-impact projects from concept through deployment
Develop automation systems integrating robotics, instrumentation, equipment, and software
Continuously improve automation platforms for performance, usability, and reliability
Provide hands-on partnership, support, troubleshooting, and training to scientists using these technologies

Requirements

What you’ll need

Ph.D. in Chemistry, Biochemistry, Engineering, Physics, Biology, Pharmaceutical Sciences, Computer Science, Data Science, Material Science, or a closely related field, with expected graduation no later than December 2026; OR
M.S. in one of the listed fields or a closely related field with at least 2 years of relevant experience; OR
B.S. in one of the listed fields or a closely related field with at least 4 years of relevant experience
Proficient in Python and/or R programming
Comfortable working in Jupyter, Posit/RStudio, or VS Code
Experience with ETL/ELT processes and building data pipelines in a scientific or pharmaceutical context
Familiarity with Git/GitHub and collaborative software development practices
Understanding of (bio)pharmaceutical process research and development, drug product development, and/or analytical development
Demonstrated scientific ability through publications and presentations at scientific conferences
Excellent communication, creativity, and interpersonal skills
Ability to deliver complex solutions under compressed timelines
Ability to work in a team environment with cross-functional interactions
Ability to work independently and entrepreneurially on cross-functional teams
Eligible for ERP
US and Puerto Rico residency eligibility stated in the posting
Visa sponsorship is not available

Benefits

Comp & perks

Annual bonus
Long-term incentive, if applicable
Medical, dental, and vision healthcare benefits for employee and family
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate days
Sick days
Hybrid work arrangement