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Associate Director, Data Engineer: DSCS Digital Data StrategyMSD Malaysia • Lansdale, Pennsylvania, United States
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Associate Director, Data Engineer: DSCS Digital Data Strategy

MSD Malaysia
  • US
    Lansdale, Pennsylvania, United States
  • US
    Lansdale, Pennsylvania, United States
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Über

Location: West Point, PA; Rahway, NJ; Boston, MA Job Overview Join Merck’s Digital Insights team as an Associate Director, Data Engineer responsible for developing, implementing, and governing data pipelines and data strategy for biologics drug substance manufacturing. You will collaborate with cross‑functional scientists, data scientists, and automation teams to enable data‑driven decision making across the drug development life cycle. Responsibilities Serve as a domain owner for biologics data engineering, maintaining full awareness of all digital projects, data sources, systems, and data flows. Inform and contribute to the DSCS Digital Data Strategy. Design and implement robust, scalable pipelines ingesting experimental and process data from biologics source systems such as process historians, chromatography systems, electronic lab notebooks, and analytical instruments. Deliver analysis‑ready datasets to support digital initiatives including process characterization models, data lineage tracking, multivariate analytics, and cross‑site manufacturing connectivity. Define and enforce data standards, metadata schemas, and ontology mappings to make biologics data interoperable for modeling and optimization workflows. Align proactively with automation colleagues, anticipating new or modified workflows that produce new data streams requiring pipeline development and ontology mapping. Own and govern system‑of‑record standards for biologics, ensuring consistent configuration and data entry practices across experiments, molecules, and sites. Catalog all processes, analytical methods, instruments, and digital systems within the biologics domain to create a comprehensive map of the data landscape. Develop and maintain data visualizations, dashboards, and reports enabling scientists to explore process data across runs, molecules, scales, and manufacturing sites. Influence digital data strategy by identifying opportunities to improve data capture practices at the source and reduce friction between experimentation and modeling. Mentor and guide supporting data engineers, ensuring alignment with domain strategy and ontology governance. Maintain and version all pipeline code in GitHub, following team standards for code review, documentation, and deployment. Build strong partnerships with process development scientists, analytical scientists, and manufacturing teams to gather requirements and shape the digital data strategy. Demonstrate excellent interpersonal, communication, and collaboration skills, and model the company’s core values of diversity and inclusion. Education Requirements Ph.D. in Chemical Engineering, Biochemical Engineering, Biochemistry, Computer Science, Data Science, Engineering, Chemistry, Biology, Pharmaceutical Sciences, or a closely related field with at least 3 years of industrial/pharmaceutical or relevant experience. M.S. in the same fields with at least 5 years of industrial/pharmaceutical or relevant experience. B.S. in the same fields with at least 7 years of industrial/pharmaceutical or relevant experience. Required Experience and Skills Proficiency in Python and/or R programming. Comfortable working in development environments such as Jupyter, Posit/RStudio, or VS Code. Solid SQL skills with hands‑on experience writing and optimizing queries against relational databases and data warehouses. Experience with ETL/ELT processes and building data pipelines in a scientific or pharmaceutical context. Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage, processing, and integration. Working knowledge of how process models, multivariate analyses, and statistical tools consume and depend on experimental data. Experience defining or enforcing data standards, metadata schemas, or ontology mappings in a scientific or pharmaceutical context. Familiarity with version control systems (Git/GitHub) and collaborative software development practices. Demonstrated ability to lead technical initiatives, mentor junior engineers, and influence data strategy across multiple stakeholders. Ability to deliver complex solutions under compressed timelines in a dynamic environment. Preferred Experience and Skills Prior hands‑on experience in biologics process development – chromatography, filtration, purification, or formulation – with a transition into a data engineering, data science, or computational role. Experience with data pipeline and analytics platforms such as Databricks, including notebook‑based development, workflow orchestration, and Delta Lake. Experience with data visualization tools (Streamlit, Shiny, PowerBI, Spotfire, or Tableau) for building scientist‑facing dashboards and exploratory data applications. Familiarity with ontology frameworks or standardized data models (e.g., Allotrope Simple Model, ISA‑88, OPC‑UA) and experience mapping instrument data to structured schemas. Understanding of Design of Experiments (DoE) methodologies and process characterization study designs to structure data for statistical analysis of CPPs and CQAs. Experience with data lineage concepts and building traceability across experimental systems, materials, and manufacturing steps. Knowledge of regulatory expectations relevant to biologics process development, process characterization, and process validation (e.g., ICH Q8–Q12, process validation lifecycle, comparability studies). Experience supporting lab automation teams, including integrating data from newly automated laboratory workflows. Experience with cross‑site data integration, harmonizing data from multiple manufacturing facilities with different systems and conventions. Evidence of cross‑functional collaborations spanning laboratory, manufacturing, modeling, and digital teams. Compensation & Benefits Salary range: $129,000 – $203,100, commensurate with experience. Eligible for annual bonus and long‑term incentive, if applicable. Comprehensive benefits package including medical, dental, vision, retirement (401(k) match), paid holidays, vacation, compassionate and sick days. Equal Employment Opportunity Statement As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit EEOC Know Your Rights, EEOC GINA Supplement. We are proud to embrace an inclusive environment that values diverse experiences and perspectives.
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  • Lansdale, Pennsylvania, United States

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  • English
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