Schr dinger 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 skillsA materials science enthusiast who s familiar with RDkit, MatMiner, Dscribe, or other informatics packagesA proficient Python programmer and debugger who s familiar with machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorchAn experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologiesA 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 applicationsCommunicate results and present ideas to the teamDevelop tools and workflows that can be integrated into commercial software productsValidate existing Schr dinger machine learning products using public datasets or internally generated datasets What you should have: A PhD in Chemistry or Materials ScienceHands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicalsExperience with LLM, OCR technologies, and the extraction of datasets for ML model development As an equal opportunity employer, Schr dinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the companys mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, or sexual orientation. To us, "diversity" isnt just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesnt mean better headlines or public images - it means increased adaptability and profitability.

We set the record for the largest scientific cloud computing run, and our software suites continue to transform the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the applications we ve created. We are looking for a resourceful candidate to join our team based out of the firm s office in Hyderabad, India. The position requires providing instant and thorough scientific support to customers worldwide. WHO WILL LOVE THE JOB: A computational chemist/biologist/pharmacist with experience in the area of drug discovery / pharmaceutical / medicinal applications of molecular modeling software tools like Schrodinger, AMBER, CHARMM, NAMD, Gromacs etc. A strong problem-solver who s familiar with high-performance computing clusters and queuing systems A keen Python programmer and shell scripting experience A quick-thinking customer supporter who enjoys helping others solve problems An excellent communicator with impeccable interpersonal and organizational skills WHAT YOU LL DO DAY-TO-DAY: Aid the Schr dinger community with scientific and technological advice and support Guide technical deployment of Schr dinger software in high-performance computing environments (which include clusters, cloud platforms, and GPUs) Provide pre-and post-sales, scientific, and software support for Schrodinger products Respond promptly over email to queries posed by customers from the global scientific community within a shift system Collaborate with the scientific team and sales team to resolve customer issues and provide scientific guidance Engage in computer-aided cutting-edge scientific research Channel feedback to the development team Work in one or two night shifts in a year, one month is mandatory. WHO WE RE LOOKING FOR: A Ph.D. in Computational Chemistry/Biology/Pharmacy or post Ph.D. with zero to two years of relevant experience in the area of computer-aided drug designing or Master s degree in Chemistry/Organic Chemistry / Bioinformatics / Pharmacoinformatics with a minimum of 4 to 5 years of industry experience in computer-aided drug designing Exposure to tools like Schrodinger, AMBER, GROMACS, Cresset, NAMD, or any other relevant computational tools A desire to publish scientific papers, if possible Exposure to IT, familiarity with Linux environment, and should be comfortable with either of Bash, Python or R A team player with skillful verbal and written communicator A self-starter who enjoys solving problems, can think innovatively and troubleshoot when required