Senior Specialist: Data Engineer for Upstream Biologics

Location West Point, PA; Rahway, NJ; Boston, MA Job Title Senior Specialist, Data Engineer Job Summary We are a global biopharmaceutical leader with a portfolio of prescription medicines, oncology, vaccines and animal health products. We are seeking a Senior Specialist, Data Engineer to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. This role will design, build, and maintain data pipelines that capture, curate, and deliver experimental and process data from Upstream Biologics Process Development teams to support downstream digital initiatives and facilitate decision-making across the portfolio. Responsibilities Build and maintain robust, scalable data pipelines that ingest experimental and process data from upstream biologics source systems Deliver analysis-ready datasets to support upstream digital initiatives, including process characterization models, scale‑up predictions, multivariate analytics, and high‑throughput process development workflows Map instrument outputs and experimental results ensuring ontology alignment and interoperability across upstream data sources Develop and maintain data visualizations, dashboards, and reports that enable upstream scientists to explore process data across runs, molecules, and scales Support system of record standards by ensuring consistent data entry practices Identify and flag data quality issues, gaps in metadata, and inconsistencies across source systems, contributing to continuous improvement of upstream data capture practices Collaborate with upstream process development scientists, analytical scientists, and engineers to understand evolving data needs and translate them into pipeline requirements Coordinate with adjacent domain engineers to ensure seamless data handoffs at domain boundaries Maintain and version all pipeline code in GitHub, following team standards for code review, documentation, and deployment Demonstrate excellent interpersonal, communication, and collaboration skills Embrace and model our core values of inclusion, fostering a supportive culture where all can thrive Collaborate effectively in a dynamic, integrated, and multidisciplinary team environment Education Minimum Requirement Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely related field M.S. in the same fields with at least 2 years of industrial/pharmaceutical or relevant experience B.S. in the same fields with at least 4 years of industrial/pharmaceutical or relevant experience Required Experience And Skills Proficient in Python and/or R programming; comfortable in Jupyter, Posit/RStudio, or VS Code environments 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 version control systems (Git/GitHub) and collaborative software development practices Ability to work in a team environment with cross‑functional interactions Motivation to learn new skills, willingness to take on new challenges, and scientific curiosity Preferred Experience And Skills Experience with upstream biologics unit operations, particularly cell culture (fed‑batch, perfusion), bioreactor operation and scale‑up, media and feed optimization, or harvest and clarification 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 – sufficient to structure data for statistical analysis of critical process parameters (CPPs) and critical quality attributes (CQAs) Evidence of cross‑functional collaborations spanning laboratory, manufacturing, modeling, and digital teams Salary $117,000.00 - $184,200.00 Benefits We offer a comprehensive package of benefits, including medical, dental, vision healthcare and other insurance benefits for employee and family, retirement benefits (including 401(k)), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at EEO 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. Job Posting End Date July 9, 2026 Requisition ID

R404620