Senior Associate, Data Science & Applied AI

Location: Lionville

This is a hybrid position requiring the team member to be onsite for 3 days per week. No relocation assistance is provided for this opportunity.

Who we are:

At West, we’re a dedicated team that is connected by a purpose to improve patient lives that has been at the center of our Company for more than a century. Our story began when Herman O. West solved the problem of supplying penicillin in mass quantities to the US Government during World War 2. Through our work to deliver thousands of life-saving and life-enhancing injectable medicines to millions of patients daily, West’s indelible mark on the healthcare industry has just begun.

A name started our story. How will yours help write our future?  There’s no better place to join an inclusive community of professionals with opportunities for lifelong learning, growth and development. Supported by benefit programs, we empower the physical, mental, emotional and financial health of our team members and their families.  We believe in giving back to help those in need in the communities where we live and work.

And are equally committed to creating a healthier environment and planet through our sustainability efforts.  

Job Summary The Senior Associate, Data Science and Applied AI will develop AI methods and research applications at the intersection of materials science, biology and pharmaceutical drug containment and delivery.

Working with West’s R&D scientists, laboratory teams and AI engineers, this role will use machine learning, generative AI and scientific computing to accelerate materials characterization, experimental design, biological assessment and product development. The successful candidate will bring deep expertise in either materials science or biology, working knowledge of the other discipline, and demonstrated ability to apply AI to scientific problems.

Essential Duties and Responsibilities Identify high-value research opportunities where AI can accelerate materials discovery, biological assessment, formulation, testing or product development.

Develop machine-learning and statistical models using experimental, materials, biological, imaging and scientific-literature data.

Apply AI to areas such as polymer and coating performance, structure–property relationships, material–drug interactions, biocompatibility, extractables and leachables, and degradation or stability.

Build predictive models, scientific knowledge systems and decision-support tools for West scientists and engineers.

Apply techniques such as active learning, Bayesian optimization, graph-based learning, computer vision, multimodal modeling and scientific foundation models.

Use generative AI and agentic workflows to support literature review, patent analysis, hypothesis generation and research synthesis.

Partner with laboratory scientists to design experiments that validate model predictions and generate higher-value datasets.

Integrate structured laboratory data with scientific documents, images and other unstructured information.

Quantify model accuracy, uncertainty, generalizability and scientific limitations.

Develop reproducible code, data pipelines, evaluation methods and technical documentation.

Translate research prototypes into usable tools in partnership with AI engineering, D&T, Quality and R&D teams.

Communicate findings, assumptions and recommendations to scientific, technical and business stakeholders.

Support intellectual-property development through invention disclosures, technical reports and patent-related analysis.

Follow West requirements for data integrity, quality, information security, responsible AI and scientific rigor.

Education Bachelors degree in Materials Science, Polymer Science, Biology, Bioengineering, Computational Biology, Chemistry, Chemical…