Senior Scientist, Hybrid Modeler, Digital Insights, DSCS Digital Technologies

Position Overview

We are seeking a Senior Scientist to join our Digital Insights team within the DSCS Digital Technologies organization. The role focuses on deploying CFD-based and data-driven modeling to design, de‑risk, and optimize sterile drug substance (DS) and drug product (DP) manufacturing processes for biologics and vaccines.

• Develop and deploy mechanistic, CFD, and data‑driven models to support development, scale‑up, tech transfer, and manufacturing of sterile DS and DP processes.
• Lead CFD‑based mixing and unit‑operation modeling to quantify hydrodynamic stresses, energy dissipation rates, mixing times, and scale‑up risk.
• Integrate data science and machine learning with physics-based models to accelerate model execution and scenario screening.
• Collaborate with stakeholders to de‑risk sterile process scale‑up, optimize formulation and process robustness, and support clinical‑to‑commercial transitions.
• Design, execute, and interpret scale‑down and validation experiments to establish model credibility and scalability.
• Use experimental data to validate and refine CFD and ML models.
• Own end‑to‑end modeling project execution, including problem formulation, data requirements, simulation workflows, model validation, reporting, and communication of predictions and uncertainty to cross‑functional stakeholders.
• Establish best practices for modeling workflows, including pre/post‑processing, HPC and cloud computing utilization, data management, version control, and model reuse.
• Contribute to standardized playbooks and a central model repository.
• Demonstrate excellent interpersonal, communication, and collaboration skills.

• Ph.D. in Computer Science, Data Science, Chemical Engineering, Mechanical Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or related field (minimum). Alternatively, MS with ≥2 years relevant experience or BS with ≥4 years relevant experience.
• Strong expertise in CFD and transport phenomena, with hands‑on experience using ANSYS Fluent, STAR‑CCM+, M‑Star, COMSOL, OpenFOAM, or equivalent.
• Experience with multiphase and complex flows, including free‑surface modeling (VOF), turbulent flows, non‑Newtonian rheology, and/or particle‑laden systems.
• Strong programming and data science skills in Python, MATLAB, R, JMP, or equivalent, including data wrangling, visualization, model coupling, and workflow automation.
• Experience validating models against experimental data and designing representative scale‑down systems.
• Ability to translate complex modeling results into clear, actionable insights for non‑modeling audiences.
• Strong written and verbal communication skills.
• Preferred:
  Experience with sterile CMC development workflows, understanding of QbD, DOE, multivariate data analysis, SPC, PAT, and advanced modeling approaches (ROM, PINNs, hybrid models, CFD‑ML surrogate models).
• Preferred:
  Prior contributions to technology transfer, process robustness assessments, or troubleshooting using modeling and simulation.

Salary range: $ – $. The successful candidate will be eligible for an annual bonus and long‑term incentive, if applicable. A comprehensive package of benefits is offered, including medical, dental, vision, retirement (401(k)), paid holidays, vacation, and sick days.

We provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with affirmative action requirements for protected veterans and individuals with disabilities.