Principal AI/Modeling Scientist (Remote)

SLS Services Limited; Thüringen; Remote; EUR 103.000 - 129.000; Vollzeit

Zusammenfassung

A leading biopharmaceutical solutions provider is seeking a Principal AI/Modeling Scientist to lead the development of innovative digital twin and hybrid modeling frameworks. The ideal candidate will have over 6 years of experience, expertise in AI and modeling, and a passion for mentoring. This role is remote and offers the opportunity to drive significant scientific innovation in biopharmaceutical manufacturing.

Qualifikationen

• 6+ years of experience in AI or modeling roles.
• Proven track record of leading modeling teams.
• Strong understanding of bioprocess technology.

Aufgaben

• Lead development of digital twin and hybrid modeling frameworks.
• Drive scientific innovation in explainable AI.
• Mentor and grow a team of modeling scientists.

Kenntnisse

Hybrid modeling

AI/ML

Cloud modeling pipelines

Python

Bioprocess domain knowledge

Advanced modeling techniques

Tools

Docker

Kubernetes

MLflow

PyTorch

TensorFlow

JAX

Jobbeschreibung

We're Hiring: Principal AI/Modeling Scientist (Remote | Full-Time)

Location: Remote • Experience: 6+ years • Level: Senior

Overview

We’re working with a client who are redefining the future of biopharmaceutical manufacturing with cutting-edge digital twins and hybrid modeling. Their AI-driven solutions empower top biopharma companies to accelerate process development, improve product quality, and reduce time to market.

What You’ll Do

• Lead development of next-gen digital twin and hybrid modeling frameworks (ODEs, SDEs, PDEs, neural networks).
• Integrate AI/ML and control theory to support process automation and simulation.
• Drive scientific innovation in explainable AI, optimization, and scalable model deployment.
• Collaborate with execs, customers, and technical teams to translate science into strategy.
• Mentor and grow a world-class team of modeling scientists.
• Architect cloud-ready, transparent, and production-scale modeling pipelines (Docker, Kubernetes, MLflow).

Your Expertise

• Advanced experience in hybrid modeling, probabilistic methods, and systems optimization.
• Fluent in Python, ML frameworks (e.g., PyTorch, TensorFlow, JAX), and orchestration tools (Airflow, Spark, Flyte).
• Bioprocess domain knowledge: bioreactor systems, upstream processes, and industrial datasets.
• Confident communicator and technical leader with a passion for innovation.

Bonus Points For:

• Prior leadership in large-scale modeling or digital twin projects.
• Published work in peer-reviewed journals or major conferences.
• Familiarity with GxP/GMP environments and regulatory requirements.

Experience with

advanced MLOps and explainability tools.