PhD Chemistry Scientist at Schrödinger, Apply Now!
Schrödinger is seeking a talented Materials Informatics & Optoelectronics Scientist to drive innovation in computational chemistry and materials science. This role offers a unique opportunity to apply machine learning, quantum chemistry, and advanced data analysis to cutting-edge projects in optoelectronics, energy storage, and semiconductors. If you have expertise in Python programming, materials informatics, and predictive modeling, this position in Hyderabad is perfect for you.
Job Posting: Materials Informatics and Optoelectronics Scientist – Hyderabad at Schrödinger
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) as Materials Informatics & Optoelectronics Scientist
- 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
Keywords: Materials Informatics, Optoelectronics Scientist, Schrödinger, Machine Learning, Chemistry, Materials Science, Data Analysis, Quantum Chemistry, LLM, OCR, Predictive Models, Python Programmer. PhD Chemistry Scientist at Schrödinger, Apply Now!
