Senior Specialist: Data Engineer Upstream Biologics

Location: West Point, PA;
Rahway, NJ;
Boston, MA

• 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 Git Hub, following team standards for code review, documentation, and deployment.
• Demonstrate excellent interpersonal, communication, and collaboration skills
• Embrace and model our core values of inclusion, including fostering a supportive culture where all can thrive.
• Collaborate effectively in a dynamic, integrated, and multidisciplinary team environment.

• Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely-related field
• M.S. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 2 years of industrial/pharmaceutical or relevant experience
• B.S. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely-related field with at least 4 years of industrial/pharmaceutical or relevant experience

• Proficient 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 version control systems (Git/Git Hub) and collaborative software development practices.
• Ability to work in a team environment with cross-functional interactions
• Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity

• 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.

• Analytical Acumen
• Animal Vaccination
• Biopharmaceutical Industry
• Data Format
• Data Modeling
• Data Visualization Tools
• Engineering Principle
• Equipment Qualification
• Estimation and Planning
• Mechanical Systems Analysis
• Molecular Modeling
• New Product Introduction (NPI)
• Pharmaceutical Sciences
• Primary Cell Culture

Salary Range: $ - $

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include 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

You can apply for this role through  (or via the Workday Jobs Hub if you are a current employee). The Final date to receive applications for this position is stated on this posting.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for…