Materials Informatics and Optoelectronics Scientist - Hyderabad Schrdinger

3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As a science and technology leader with over 30 years of experience in developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses, Schrdinger is looking for an application-focused Materials Informatics & Optoelectronics Scientist to join in the mission of improving human health and quality of life through the application of advanced computational methods. Joining the Materials Science team at Schrdinger will provide you with the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. You will love this job if you are a statistical and machine learning expert with robust problem-solving skills, a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages, a proficient Python programmer and debugger with knowledge of 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, and a specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment. Your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR, working with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc), developing and validating predictive machine learning models for OLED devices and other optoelectronic applications, communicating results and presenting ideas to the team, developing tools and workflows that can be integrated into commercial software products, and validating existing Schrdinger machine learning products using public datasets or internally generated datasets. To be successful in this role, you should hold a PhD in Chemistry or Materials Science, have hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals, and experience with LLM, OCR technologies, and the extraction of datasets for ML model development.,

Posted 2 days ago

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Materials Informatics and Optoelectronics Scientist Schrdinger

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

Schrdinger 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 are currently looking for an application-focused Materials Informatics & Optoelectronics Scientist to join our team in our mission to enhance human health and quality of life by leveraging advanced computational methods. As a part of our Materials Science team, you will have the opportunity to engage in various projects spanning optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. The ideal candidate for this role will be a statistical and machine learning expert with strong problem-solving abilities. You should also be a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages. Proficiency in Python programming and debugging, along with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch is essential. Additionally, you should have experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies. Collaboration with an interdisciplinary team in a fast-paced environment should be something you enjoy as a specialist in quantum chemistry or materials science. As a Materials Informatics & Optoelectronics Scientist, your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR. You will collaborate with domain experts to ensure data accuracy and quality, particularly related to molecular structures, SMILES strings, and experimental measurements. Developing and validating predictive machine learning models for OLED devices and other optoelectronic applications will be a key aspect of your role. Furthermore, you will be expected to communicate results, present ideas to the team, develop tools and workflows for integration into commercial software products, and validate existing Schrdinger machine learning products using public or internally generated datasets. To qualify for this position, you should hold a PhD in Chemistry or Materials Science and possess hands-on experience in applying machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals. Familiarity with LLM, OCR technologies, and dataset extraction for ML model development is also required.,

Posted 3 days ago

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