- 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.

- Define data requirements, gather and mine large scale structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.

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

- Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.

- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve productivity.

- Communicate and translate between life science experts and data engineers.

- Provide training, guidance, and mentorship to junior analysts and team members when required.

- 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 3-5 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, GitHub, dbt, Tableau).

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