Materials Informatics and Optoelectronics Scientist - Hyderabad
Schrödinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses.
We’re seeking an application-focused Materials Informatics & Optoelectronics Scientist to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods. As a member of our Materials Science team, you’ll have the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals.
Who will love this job:
- A statistical and machine learning expert with robust problem-solving skills
- A materials science enthusiast who’s familiar with RDkit, MatMiner, Dscribe, or other informatics packages
- A proficient Python programmer and debugger who’s familiar with machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch
- An experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies
- A specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment
What you’ll do:
- Research, curate, and analyze datasets from literature and other sources using advanced techniques such as LLMs and OCR.
- Work with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc)
- Develop and validate predictive machine learning models for OLED devices and other optoelectronic applications
- Communicate results and present ideas to the team
- Develop tools and workflows that can be integrated into commercial software products
- Validate existing Schrödinger machine learning products using public datasets or internally generated datasets
What you should have:
- A PhD in Chemistry or Materials Science
- Hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals
- Experience with LLM, OCR technologies, and the extraction of datasets for ML model development
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