Applied R&D Data Scientist

🔥 0 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Lonza

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1897

🧬 Biotechnology

💊 Pharmaceuticals

🏭 Manufacturing

💰 $444.8M Post-IPO Debt - Lonza on 2023-11

Biotechnology • Pharmaceuticals • Manufacturing

Lonza is a Swiss-based, global contract development and manufacturing organization (CDMO) and life sciences company. It provides integrated end-to-end offerings across biologics and small-molecule drug development and manufacturing — including cell line development, process and analytical development, formulation and primary packaging, drug substance and drug product manufacturing, and regulatory/CMC support. Lonza's capabilities span advanced synthesis and APIs (including HPAPIs), bioconjugation and ADCs, specialized modalities such as cell & gene therapies, mRNA/LNP, microbial processes, and capsule and health-ingredient products. Founded in Switzerland in 1897, Lonza describes itself as a pioneer and world leader in the CDMO industry and operates with ~20,000 colleagues across five continents to support pharmaceutical and biotech customers.

📋 Description

• Develop and apply machine learning, statistical, AI, and cheminformatics solutions for R&D challenges across chemical synthesis, process development, analytical sciences, and bioconjugation • Transform structured and unstructured scientific data into actionable insights, predictive models, and decision-support tools • Build, validate, and optimize predictive and analytical models for reaction prediction, process optimization, impurity analysis, and experimental design • Design and evaluate AI-enabled capabilities including generative AI, semantic search, information extraction, and scientific knowledge systems • Create reproducible data pipelines, feature engineering workflows, and model evaluation frameworks • Ensure scientific rigor and appropriate treatment of uncertainty and model limitations • Collaborate with R&D scientists, chemists, process engineers, product managers, data engineers, and IT teams • Drive projects independently from problem definition through validated outcomes • Contribute to Lonza’s data science and AI capabilities within Advanced Synthesis

🎯 Requirements

• Bachelor's or master’s degree in data science, Computer Science, Statistics, Cheminformatics, Computational Chemistry, Chemistry, Engineering, or a related quantitative discipline; advanced degrees preferred • Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to complex real-world scientific or technical problems • Strong programming skills in Python • Proficiency with scientific computing and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or similar tools • Working knowledge of chemistry and chemical data, including chemical structures, reactions, properties, and experimental datasets • Experience developing, validating, and interpreting predictive models • Ability to communicate results, assumptions, uncertainty, and limitations effectively • Ability to work independently in ambiguous technical environments, identify practical solutions, and deliver high-quality outcomes with scientific rigor • Strong collaboration and communication skills across multidisciplinary teams • Ability to engage technical and non-technical stakeholders

🏖️ Benefits

• Performance-related bonus • Medical, dental and vision insurance • 401(k) matching plan • Life insurance • Short-term and long-term disability insurance • Employee assistance programs • Paid time off (PTO)