Roles & Responsibilities Partner with PD scientists and IT team members to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as part of an agile team.

Mine structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.

Collect and curate data from multiple sources including electronic notebooks, spreadsheets, slide decks, and instrument files ensuring data quality, consistency, and completeness.

Apply data standards, ontologies, and metadata to facilitate data integration and analysis.

Support data discovery, access, and sharing across the organization.

Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and challenges, and provide data solutions.

Communicate and translate between life science experts and data engineers.

Work hours that provide sufficient overlap with standard east coast US working hours.

Skills and Competencies Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.

Ability to work with diverse teams across organizational lines and structures.

Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

Experience Bachelor's or Master's degree in analytical, engineering, or in a relevant field such as chemical engineering, or life sciences, with an interest or minor in data science/computer science.

Proven experience (typically 0-3 years) in a data and analytics role, including direct development experience.

Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, Git Hub, dbt, Tableau).

Experience with biotech product development and/or manufacturing operations is a significant plus.

Experience in the biopharma industry a plus.