AI-enabled Scientific Computing Expert - Drug Product Development

Job Description Summary

We are looking for an AI-enabled Scientific Computing Expert to strengthen Drug Product development capabilities within a global CMC organization. In this role, you will focus on how AI, data science, and modeling can improve decision-making in CMC, from early formulation development to commercial manufacturing.
You will work in a highly interdisciplinary environment, collaborating with formulation scientists, process engineers, data scientists, and manufacturing experts to advance model-informed decision-making and embed AI-native workflows into day-to-day development activities.
Rather than applying models in isolation, you will design AI-native workflows where mechanistic understanding, >

Job Description

Major Accountabilities:

• You will combine process and product understanding with AI and advanced analytics to deliver decision support across the drug product lifecycle.

• The focus is on practical impact through AI-supported product development—modeling, experimentation, and knowledge management.

  · Apply mechanistic, empirical, statistical, and hybrid (physics + machine learning) modeling approaches to support drug product formulation and process development from early lab phase through scale-up and commercialization.

  · Translate formulation and process questions into model- and >
  

  Skills Desired

  Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis