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.,
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.,
You are a Technical Writer joining a team at Schrdinger, focused on enhancing human health and quality of life through advanced computational methods. Schrdinger is a leader in computer-aided drug discovery and materials science, constantly innovating software suites such as Maestro, FEP+, WaterMap, Glide, and LiveDesign. As part of the Documentation team within the Education department, you will engage with scientists globally, helping them leverage computational drug discovery in various research fields. Your role involves applying design thinking to enhance accessibility and user experience of Schrdinger software documentation, collaborating with different teams to ensure researchers can easily find the information they need. Ideal candidates for this role are technical writers with a scientific background or computational chemists possessing strong communication, writing, and editing skills. You should be detail-oriented, organized, and capable of meeting deadlines consistently. Moreover, creativity, collaborative spirit, and the ability to work across diverse teams are essential traits for success in this position. Your responsibilities include collaborating with various departments to create documentation in computational chemistry, crafting and designing content for diverse audiences, managing intricate documentation projects involving multiple stakeholders, and contributing to educational content development in a team-centric environment. You will also develop expertise in Schrdinger's suite of software tools for small-molecule, biologics, and materials science applications. To qualify for this role, you should hold a Bachelor's degree or higher in a relevant scientific field or possess equivalent industry experience. A scientific background coupled with technical writing experience or a technical writing background with knowledge in chemistry, biochemistry, biophysics, physics, or related disciplines is preferred. An interest in small-molecule drug discovery, familiarity with molecular modeling software tools, and a proven track record of strong writing skills are also necessary, with writing samples expected during the application process. Additionally, candidates with an MS in Technical Writing or a relevant scientific discipline, prior experience with Schrdinger applications or molecular modeling software, proficiency in tools like Flare, Confluence, Jira, and skills in Python, HTML, or CSS would be preferred for this role.,
As an Order Management Specialist at Schrdinger, you will play a crucial role in our mission to enhance human health and quality of life by leveraging advanced computational methods. With our expertise in software solutions for quantum mechanics, molecular dynamics, and machine learning-based chemical simulation and prediction, Schrdinger has been a pioneer in the field for over 25 years. Your primary responsibilities will include processing inbound purchase orders and customer agreements, generating license keys for software delivery, and managing customer billings. You will work closely with various teams within the organization to ensure efficient coordination and communication. We are looking for a professional who excels in a dynamic and fast-paced environment, capable of collaborating with diverse groups. The ideal candidate will have experience in accounts receivables, cash posting, and accounting reconciliations. Proficiency in NetSuite or Salesforce will be an added advantage. Key Responsibilities: - Reviewing and processing software contracts with meticulous attention to detail - Coordinating with customers and internal teams such as Sales and Legal - Applying tax rules accurately for customer billings in different countries - Ensuring timely delivery of electronic invoices - Posting cash entries and reconciling basic cash accounts - Conducting data analysis for accurate posting and entries - Generating reports and performing analytics related to order processing and cash accounting Qualifications: - A university degree in Accounting or Finance, CA-inter qualified preferred - Prior experience in order processing or similar roles Join us at Schrdinger and be part of a dedicated team committed to pushing the boundaries of science and technology to make a positive impact on society.,