Senior Specialist: Data Engineer for Upstream Biologics
Merck
June 26, 2026
Remote friendly (West Point, PA)
United States
Operations
Senior Specialist, Data Engineer (Digital Insights, DSCS Digital Technologies)
Responsibilities:
- Build and maintain robust, scalable data pipelines ingesting experimental and process data from upstream biologics source systems.
- Deliver analysis-ready datasets supporting process characterization models, scale-up predictions, multivariate analytics, and high-throughput process development workflows.
- Map instrument outputs and experimental results to ensure ontology alignment and interoperability across upstream data sources.
- Develop and maintain data visualizations, dashboards, and reports for upstream scientists.
- Support system-of-record standards and consistent data entry practices.
- Identify/flag data quality issues, metadata gaps, and inconsistencies to improve upstream data capture.
- Collaborate with scientists and engineers to translate evolving data needs into pipeline requirements; coordinate seamless data handoffs.
- Maintain and version pipeline code in GitHub with standards for code review, documentation, and deployment.
- Demonstrate strong interpersonal, communication, and collaboration skills; thrive in a multidisciplinary team environment.
Education Minimum Requirement:
- Ph.D. or M.S./B.S. in Computer Science, Data Science, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, Molecular Modeling, or closely related field (with relevant years of industrial/pharmaceutical experience for M.S./B.S.).
Required Experience & Skills:
- Proficient in Python and/or R (Jupyter, Posit/RStudio, or VS Code).
- Solid SQL for relational DBs and data warehouses.
- ETL/ELT and pipeline building in scientific/pharmaceutical contexts.
- Git/GitHub version control and collaborative development.
- Cross-functional teamwork; motivated to learn and apply scientific curiosity.
Preferred:
- Upstream biologics unit operations experience (cell culture, bioreactors/scale-up, media/feed optimization, harvest/clarification).
- Databricks/Delta Lake; workflow orchestration.
- Visualization tools (Streamlit, Shiny, PowerBI, Spotfire, Tableau).
- Ontology frameworks/standard data models (e.g., Allotrope, ISA-88, OPC-UA) and structured schema mapping.
- DoE and process characterization for CPP/CQA statistical analysis.
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Apply by the posting’s stated deadline.
Responsibilities:
- Build and maintain robust, scalable data pipelines ingesting experimental and process data from upstream biologics source systems.
- Deliver analysis-ready datasets supporting process characterization models, scale-up predictions, multivariate analytics, and high-throughput process development workflows.
- Map instrument outputs and experimental results to ensure ontology alignment and interoperability across upstream data sources.
- Develop and maintain data visualizations, dashboards, and reports for upstream scientists.
- Support system-of-record standards and consistent data entry practices.
- Identify/flag data quality issues, metadata gaps, and inconsistencies to improve upstream data capture.
- Collaborate with scientists and engineers to translate evolving data needs into pipeline requirements; coordinate seamless data handoffs.
- Maintain and version pipeline code in GitHub with standards for code review, documentation, and deployment.
- Demonstrate strong interpersonal, communication, and collaboration skills; thrive in a multidisciplinary team environment.
Education Minimum Requirement:
- Ph.D. or M.S./B.S. in Computer Science, Data Science, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, Molecular Modeling, or closely related field (with relevant years of industrial/pharmaceutical experience for M.S./B.S.).
Required Experience & Skills:
- Proficient in Python and/or R (Jupyter, Posit/RStudio, or VS Code).
- Solid SQL for relational DBs and data warehouses.
- ETL/ELT and pipeline building in scientific/pharmaceutical contexts.
- Git/GitHub version control and collaborative development.
- Cross-functional teamwork; motivated to learn and apply scientific curiosity.
Preferred:
- Upstream biologics unit operations experience (cell culture, bioreactors/scale-up, media/feed optimization, harvest/clarification).
- Databricks/Delta Lake; workflow orchestration.
- Visualization tools (Streamlit, Shiny, PowerBI, Spotfire, Tableau).
- Ontology frameworks/standard data models (e.g., Allotrope, ISA-88, OPC-UA) and structured schema mapping.
- DoE and process characterization for CPP/CQA statistical analysis.
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Apply by the posting’s stated deadline.