Senior Scientist, Computational Materials Solutions

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🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $100.5k - $125.5k / year

⏰ Full Time

🟠 Senior

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Entegris

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace.

📋 Description

• Accelerate innovation by combining computational science, machine learning, and domain expertise for the Materials Solutions business • Translate business and technology priorities into computational approaches including molecular and materials modeling, predictive simulation, statistical and hybrid methods, and scientific data analysis • Develop and apply computational chemistry-informed solutions to investigate material behavior, process mechanisms, and materials design • Support product and technology development through AI/ML, predictive simulations, structure-property analysis, design-of-experiments support, optimization, and reusable computational workflows • Integrate simulation data, experimental results, and domain knowledge to generate hypotheses, prioritize experiments, and interpret R&D results • Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification • Translate computational outputs into actionable guidance for scientists, engineers, and leaders • Build reusable solution libraries, workflows, documentation, and technical knowledge assets • Communicate modeling assumptions, results, and insights to technical and non-technical stakeholders • Document methods and results in technical reports, internal publications, and knowledge repositories

🎯 Requirements

• M.S. or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or related scientific discipline • Strong foundation in computational materials science, computational chemistry, molecular modeling, statistics, scientific computing, and simulation • Experience supporting research, experimentation, or early-stage technology development • Ability to connect computational results to physical or chemical mechanisms and translate them into practical R&D decisions • Working knowledge of model verification, validation, uncertainty quantification, documentation, simulation data management, model reuse, and lifecycle governance • Hands-on experience developing computational, simulation, or data-driven solutions using Python and scientific libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, or related tools • Strong collaboration, stakeholder-management, and communication skills • 1–3 years of experience in materials science, chemistry, semiconductor, life sciences, energy, or advanced manufacturing R&D • Demonstrated success combining experimental data with modeling and AI to guide discovery or development • Experience with design-of-experiments (DoE), optimization, or Bayesian methods • Familiarity with visualization, notebooks, or technical storytelling for R&D audiences • Publications, patents, or significant internal research contributions • Entegris does not provide immigration-related sponsorship; applicants must not require Entegris immigration sponsorship now or in the future

🏖️ Benefits

• Generous 401(K) plan with an impressive employer match • Excellent health, dental and vision insurance packages to fit your needs • Flexible work schedule • 11 paid holidays a year • Paid time off (PTO) policy that empowers you to take the time you need to recharge • Education assistance to support your learning journey • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence