Senior Specialist: Data Engineer Upstream Biologics

Position: Senior Specialist: Data Engineer for Upstream Biologics
Location: West Point

** Job Description*
* *
* Location:

West Point, PA;
Rahway, NJ;
Boston, MA*
* We are a global biopharmaceutical leader with a portfolio of prescription medicines, oncology, vaccines and animal health products. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state-of-the-art laboratories, plants and offices that are designed to inspire our employees as we learn, develop and grow in our careers.  

We are proud of our over 125 years of service to humanity and continue to be one of the world's biggest investors in Research & Development.

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. Digital is the multiplier that will allow DSCS to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher-confidence decisions across the portfolio.

The DSCS Digital Technologies organization is responsible for the invention and application of new digital tools/workflows to support scientists across drug substance development, drug product development and analytical development. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact. The tools that we develop are as the teams developing them, and in this  
** Senior Specialist, Data Engineer
** role, the successful candidate will design, build, and maintain data pipelines that capture, curate, and deliver experimental and process data from Upstream Biologics Process Development teams - including cell culture, bioreactor operations, media and feed optimization, and high throughput process development - into downstream digital initiatives. The engineer will contribute directly to ontology alignment efforts, support the integration of new data streams, and deliver analysis-ready datasets to support process characterization models, scale-up predictions, and multivariate analytics that de-risk and accelerate biologics manufacturing from bench through commercial scale.

This role sits within the Digital Insights team which is working to digitally enable a decision engine for DSCS, by innovating solutions through strong partnership in the domains of Data Science, Data Analysis, Informatics, Multi-Omics, Predictive Science, and Data Engineering.

** _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 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.

** _Education Minimum Requirement:_*
* + Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry,…