5 часов назад
Senior Scientist, Computational Materials Solutions
100 500 - 125 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Scientist, Computational Materials Solutions (Computational Materials Science/AI): Developing computational, machine learning, and simulation-based solutions to understand material behavior, guide experimentation, and support scalable materials technologies with an accent on molecular modeling, predictive simulation, and scientific data analysis. Focus on integrating simulation and experimental data, validating models, quantifying uncertainty, and translating computational results into actionable R&D decisions.
Location: Remote, United States; listed location: Danbury, CT
Salary: $100,500–$125,500 per year
Company
develops materials and technology solutions, with this role supporting the Materials Solutions business through its Digital Innovation Team.
What you will do
- Develop computational chemistry, molecular modeling, statistical, and chemistry-informed solutions to investigate material behavior and process mechanisms.
- Apply AI/ML, predictive simulations, structure-property analysis, design of experiments, and optimization to support product and technology development.
- Integrate simulation data, experimental results, and domain knowledge to generate hypotheses and prioritize experiments.
- Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification.
- Translate computational outputs into practical guidance for scientists, engineers, and R&D leaders.
- Build reusable solution libraries, workflows, documentation, and technical knowledge assets.
Requirements
- Master’s or Ph.D. in Chemistry, Materials Science, Physics, Engineering, or a 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.
- Experience connecting computational results to physical or chemical mechanisms and practical R&D decisions.
- Hands-on experience with Python and scientific libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, or related tools.
- Strong collaboration, stakeholder-management, technical communication, model governance, and documentation skills.
Nice to have
- 1–3 years of experience in materials science, chemistry, semiconductor, life sciences, energy, or advanced manufacturing R&D.
- Experience combining experimental data with modeling and AI to guide discovery or development.
- Experience with design of experiments, optimization, or Bayesian methods.
- Familiarity with visualization, notebooks, or technical storytelling for R&D audiences.
- Publications, patents, or significant internal research contributions.
Culture & Benefits
- Collaborative, values-driven culture centered on People, Accountability, Creativity, and Excellence.
- 401(k) plan with employer match.
- Health, dental, and vision insurance.
- Flexible work schedule and 11 paid holidays.
- Paid time off and education assistance.
- Immigration-related sponsorship is not provided; applicants must not require sponsorship now or in the future.
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