Senior Specialist, Scientific Software Engineer, Digital Insights, DSCS Digital Technologies

MSD

. Build, scale, and sustain scientific and automation solutions from prototype to secure, maintainable, enterprise-grade production software .

Posted 10/22/2026full-timeUnited StatesSenior💰 $117,000 - $184,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling production-grade software solutions, with a strong focus on data engineering, integration of scientific instruments, and collaboration across multidisciplinary teams. Proficient in translating complex scientific requirements into maintainable software while adhering to industry standards and best practices.

Highest-signal resume keywords

Ph.D. In Computer Science, Data Science, Software Engineering, Chemistry, Physics, Engineering, Pharmaceutical SciencesDeep Software Development Expertise Using PythonStrong Data Engineering Skills Including ETL/ELT PipelinesExperience With Laboratory Informatics Ecosystems And ELN/LIMS PlatformsKnowledge Of Data Governance And Validation Frameworks In Regulated GxP Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentBackend ServicesAPIsData EngineeringETL/ELT PipelinesData ModelsProduction SoftwareVersion ControlAutomated TestingCI/CD

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationCollaborationTechnical LeadershipPartnership Building

Tools & Technologies

DatabasesData WarehousesData LakesCloud PlatformsContainerizationLaboratory Informatics EcosystemsSignalsScientific Data StandardsFAIR Data PrinciplesData Engineering Tooling

Industry Keywords

Pharmaceutical DevelopmentScientific InstrumentsLaboratory SystemsHigh-Throughput ScreeningExperimentation WorkflowsCross-Functional Software DeploymentsUser TrainingProduction SupportGxP EnvironmentsData Governance

Tech Stack

Tools & technologies

CloudETLPython

About the role

Key responsibilities & impact

Build, scale, and sustain scientific and automation solutions from prototype to secure, maintainable, enterprise-grade production software
Design and build reusable platforms, backend services, and APIs unifying analytical instrument and laboratory data
Consolidate fragmented or legacy tools into scalable, well-architected systems
Lead data engineering and data product development, including pipelines, data models, and reusable data products
Partner with IT, infrastructure, security, data governance, and vendor teams to deploy, integrate, and sustain production solutions
Own end-to-end software delivery, including architecture, development, integration testing, documentation, deployment, and user acceptance
Establish engineering practices including version control, code review, automated testing, and CI/CD
Collaborate with scientists, data scientists, and cross-functional stakeholders to translate scientific needs into durable software
Provide technical leadership during onboarding, training, and production rollout
Foster trusted partnerships across multidisciplinary stakeholder networks and support a collaborative culture

Requirements

What you’ll need

Ph.D. in Computer Science, Data Science, Software Engineering, Chemistry, Physics, Engineering, Pharmaceutical Sciences, or a closely-related field; or M.S. in one of these fields with at least 2 years of industrial/pharmaceutical or relevant experience; or B.S. in one of these fields with at least 4 years of industrial/pharmaceutical or relevant experience
Deep software development expertise building production-grade applications, backend services, and APIs using Python and/or equivalent languages
Experience scaling and hardening software from prototype to production
Experience partnering with IT, infrastructure, security, and/or data governance teams
Strong data engineering skills, including production ETL/ELT pipelines, data models, and data products
Experience with databases, data warehouses, or data lakes
Experience integrating scientific instruments, laboratory systems, or external platforms via APIs, SDKs, or file-based interfaces
Experience with version control, automated testing, code review, and CI/CD
Ability to translate complex scientific requirements into maintainable software
Strong written and verbal communication skills
Software and data engineering experience supporting pharmaceutical development strongly preferred
Experience integrating analytical instrument software and chromatography data systems
Experience with laboratory informatics ecosystems and ELN/LIMS platforms such as Signals
Familiarity with high-throughput screening and experimentation workflows
Experience with scientific data standards and FAIR data principles
Experience building scientific or laboratory data products
Familiarity with data engineering tooling and orchestration frameworks
Experience developing user-facing web applications
Familiarity with cloud platforms and containerization
Knowledge of data governance, data lineage, and validation frameworks in regulated GxP environments
Contributions to cross-functional software deployments, user training, and production support are a strong plus
Must be a US or Puerto Rico resident
Visa sponsorship available

Benefits

Comp & perks

Annual bonus and long-term incentive, if applicable
Medical, dental, vision healthcare and other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Visa sponsorship
Hybrid work arrangement
10% travel requirement