Senior Specialist: Data Engineer for Upstream Biologics
Merck
June 26, 2026
Remote friendly (Boston, MA)
United States
IT
Senior Specialist, Data Engineer (Digital Insights, DSCS Digital Technologies)
Responsibilities
- Build and maintain robust, scalable data pipelines ingesting experimental/process data from upstream biologics source systems.
- Deliver analysis-ready datasets for process characterization models, scale-up predictions, multivariate analytics, and high-throughput process development workflows.
- Map instrument outputs to ensure ontology alignment and interoperability across upstream data sources.
- Develop/maintain dashboards, visualizations, and reports for upstream scientists.
- Support system-of-record standards for consistent data entry.
- Identify/flag data quality issues, metadata gaps, and inconsistencies; improve upstream data capture.
- Collaborate with scientists/engineers to translate evolving data needs into pipeline requirements.
- Coordinate with adjacent domain engineers for seamless data handoffs.
- Maintain/version pipeline code in GitHub (code review, documentation, deployment).
Education Minimum Requirement
- Ph.D. or M.S./B.S. in CS/Data Science/Molecular Modeling/Engineering/Chemistry/Physics/Biology/Pharmaceutical Sciences (with the stated experience levels).
Required Experience and Skills
- Proficient in Python and/or R (Jupyter, Posit/RStudio, or VS Code).
- Strong SQL for relational DBs/data warehouses.
- ETL/ELT and data pipelines in scientific/pharmaceutical contexts.
- Git/GitHub and collaborative development.
- Cross-functional teamwork; motivated to learn.
Preferred Experience and Skills
- Upstream biologics unit operations (cell culture, bioreactors, media/feed optimization, harvest/clarification).
- Databricks/Delta Lake/workflow orchestration.
- Visualization tools (Streamlit, Shiny, PowerBI, Spotfire, Tableau).
- Ontology/standardized models (e.g., Allotrope, ISA-88, OPC-UA).
- DoE and process characterization (CPPs/CQAs).
Benefits/Compensation (explicit)
- Annual bonus and long-term incentive (if applicable); medical/dental/vision, retirement (401(k)), paid time off.
Application Instructions
- Apply via https://jobs.merck.com/us/en (deadline stated on posting).
Responsibilities
- Build and maintain robust, scalable data pipelines ingesting experimental/process data from upstream biologics source systems.
- Deliver analysis-ready datasets for process characterization models, scale-up predictions, multivariate analytics, and high-throughput process development workflows.
- Map instrument outputs to ensure ontology alignment and interoperability across upstream data sources.
- Develop/maintain dashboards, visualizations, and reports for upstream scientists.
- Support system-of-record standards for consistent data entry.
- Identify/flag data quality issues, metadata gaps, and inconsistencies; improve upstream data capture.
- Collaborate with scientists/engineers to translate evolving data needs into pipeline requirements.
- Coordinate with adjacent domain engineers for seamless data handoffs.
- Maintain/version pipeline code in GitHub (code review, documentation, deployment).
Education Minimum Requirement
- Ph.D. or M.S./B.S. in CS/Data Science/Molecular Modeling/Engineering/Chemistry/Physics/Biology/Pharmaceutical Sciences (with the stated experience levels).
Required Experience and Skills
- Proficient in Python and/or R (Jupyter, Posit/RStudio, or VS Code).
- Strong SQL for relational DBs/data warehouses.
- ETL/ELT and data pipelines in scientific/pharmaceutical contexts.
- Git/GitHub and collaborative development.
- Cross-functional teamwork; motivated to learn.
Preferred Experience and Skills
- Upstream biologics unit operations (cell culture, bioreactors, media/feed optimization, harvest/clarification).
- Databricks/Delta Lake/workflow orchestration.
- Visualization tools (Streamlit, Shiny, PowerBI, Spotfire, Tableau).
- Ontology/standardized models (e.g., Allotrope, ISA-88, OPC-UA).
- DoE and process characterization (CPPs/CQAs).
Benefits/Compensation (explicit)
- Annual bonus and long-term incentive (if applicable); medical/dental/vision, retirement (401(k)), paid time off.
Application Instructions
- Apply via https://jobs.merck.com/us/en (deadline stated on posting).