Schrödinger is seeking an LDML Full Stack Developer 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 the ML team, you will build the platforms and interfaces that allow scientists to interact with complex data regarding DNA, RNA, small molecule design, materials design, and quantum physics. Previous experience in these domains is not required, but an interest in learning is.

Who will love this job:

• An engineer who loves building end-to-end web applications, from architecting the database to polishing the UI pixels
• A problem solver who enjoys translating complex scientific requirements into intuitive, performant software solutions
• A tech-agnostic builder familiar with modern JavaScript frameworks (React, Vue, or TypeScript) and Python backends
• An excellent communicator who loves collaborating in a diverse, interdisciplinary team environment

What you’ll do:

• Collaborate closely with scientists, researchers, and designers to deliver robust web applications that meet business and product goals
• Design and implement scalable RESTful APIs and microservices to handle complex scientific workflows
• Build responsive and interactive front-end interfaces to visualize multi-dimensional scientific data
• Participate in a code reviewing environment that encourages learning, high code quality, and security best practices
• Help architect systems that bridge the gap between heavy computational backends and user-facing applications

What you should have:

• Proficiency in Python web frameworks (Django, FastAPI, or Flask)
• 1 to 2 years of strong experience with modern JavaScript/TypeScript and frontend frameworks (React is preferred)
• Strong foundational knowledge of data structures, algorithms, and complex problem-solving.
• Solid understanding of database design and management (PostgreSQL, MySQL, SQLite)
• B.E. / B.Tech., or an advanced degree in Computer Science, Software Engineering, Mathematics, Physics, or Chemistry

We’d prefer to hire someone with...

• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines
• Experience with cloud platforms (AWS, GCP, or Azure)
• An independent interest in science (an undergraduate major or minor is a plus!)

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. Our software platform continues to revolutionize the design of therapeutics and materials, and we leverage this platform to advance a pipeline of internal, wholly-owned drug discovery programs. We also license our software to leading biopharmaceutical and industrial companies, academic institutions, and government laboratories worldwide.

We're hiring skilled backend developers to build and scale LiveDesign—our enterprise collaboration platform built on an event-driven microservices architecture with real-time stream processing. This platform enables the execution and analysis of quantum simulations, machine learning models, and other computational methods. It's used in diverse industries from drug researchers seeking to cure disease to materials designers in the fields of organic electronics, polymer science, and other areas.

WHAT YOU’LL DO DAY-TO-DAY

• Design, build, and test high-performance, distributed components in problem areas, including but not limited to data aggregation/transformation/reporting and large-scale computations for a collaborative multi-user application
• Architect and implement scalable, maintainable solutions using technologies like Kafka and Kubernetes. Contribute to a culture of clean code and continuous learning through regular code reviews.
• Collaborate closely within a cross-functional, agile team composed of product designers, developers, and testers to deliver features and functionality that meet business and product goals. 

WHO WE’RE LOOKING FOR:
The ideal candidate should have:

• Bachelor's/master's degree in computer science or equivalent stream with five to eight years of experience in enterprise application development.
• Practical understanding of CS concepts in the areas of data structures and algorithms, database management systems, operating systems, and computer networks.
• Excellent programming skills, logical reasoning abilities, and enthusiasm for solving interesting problems, along with a willingness to learn.
• Proven experience designing, building, and maintaining scalable, reliable backend systems and distributed architectures.
• Proficiency in backend technologies such as Java, Spring Boot, Kafka, and PostgreSQL (or similar stack).
• Experience with event-driven microservices architecture and Kubernetes based deployments.
• Good understanding of observability: logging, monitoring, alerting, and debugging production systems.
• Track record of owning features/services end-to-end, from design through deployment and production support.
• Proficient interpersonal skills (oral/verbal communication), complemented by an ability to collaborate in a team environment.

As an equal opportunity employer, Schrödinger 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 company's 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" isn't 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 doesn't mean better headlines or public images - it means increased adaptability and profitability.

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. Our software platform continues to revolutionize the design of therapeutics and materials, and we leverage this platform to advance a pipeline of internal, wholly-owned drug discovery programs. We also license our software to leading biopharmaceutical and industrial companies, academic institutions, and government laboratories worldwide.

We're seeking a Sales Operations Data Analyst to support the operational execution of our sales reporting and commissions process in a fast-paced environment. This role is ideal for someone with a high attention to detail and excellent organizational skills, who thrives on resolving issues, scenario modeling, ensuring data accuracy, and delivering professional and responsive support to our sales operations and finance teams.

What You'll Do

• Maintain and improve the monthly data validation process
• Investigate and resolve discrepancies with swift resolution and proactive communication
• Respond to inquiries from sales reps and management with professionalism and a problem-solving mindset
• Ensure data integrity across Salesforce, NetSuite, any commission platforms, and reporting tools to support internal controls
• Collaborate with Accounting team during the monthly close to support accruals and variance analysis
• Identify recurring issues and recommend process improvements to ensure and enhance accurate recordkeeping and responsiveness
• Support the Compensation and FP&A teams with incentive and policy modeling by effectively managing large data sets
• Additional duties as assigned

What You'll Bring

• 1–3 years of experience in data analytics, order processing, sales operations, or related role managing large data sets for accuracy—preferably in a software or SaaS company
• Strong attention to detail, excellent organizational skills, and a passion for resolving issues efficiently
• High proficiency in Excel or Google Sheets; familiarity with Salesforce and commission tools (e.g., Xactly, CaptivateIQ, Spiff) is a plus
• Clear communication skills and a service-oriented approach to internal support
• A process-driven mindset with a commitment to accuracy and continuous improvement

Additional Information

• The role will operate on the US East Coast hours
• Based in Hyderabad

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. Our software platform continues to revolutionize the design of therapeutics and materials, and we leverage this platform to advance a pipeline of internal, wholly-owned drug discovery programs. We also license our software to leading biopharmaceutical and industrial companies, academic institutions, and government laboratories worldwide.

We're seeking a motivated Software Infrastructure Engineer to join our team in Hyderabad. You'll play a key role in automating the deployment and maintenance of our Kubernetes-based application (LiveDesign) on Google Cloud Platform (GCP).

This is an excellent opportunity for someone who enjoys automation using modern approaches such as GitOps and Infrastructure as Code, and is excited to learn and grow in a collaborative environment. You'll work directly with other teams, regularly demo new features you build, and help shape deployment workflows that make their work more efficient.

What You'll Work On

Primary Focus:

• Build and improve GitHub Actions workflows to automate deployment pipelines
• Maintain and enhance Terraform infrastructure code for GCP resources
• Develop Python scripts and tools for infrastructure automation
• Collaborate with other internal teams to understand their needs

Learning & Growth Areas:

• Improve Kubernetes Helm charts and establish best practices
• Design, implement and/or improve microservices, in particular related to job orchestration of scientific computations
• Improve and extend the existing infrastructure used for user authentication
• Optimize Docker configurations for our applications
• Potentially contribute to our deployment manager web application (Node.js/React) if interested

Required Skills

• 1-3 years of professional software development or DevOps experience
• Programming: Strong Python skills (writing scripts, working with APIs, testing)
• Cloud Platform: Experience with Google Cloud Platform.  Experience with other cloud providers (AWS, Azure) is a plus.
• Automation: Familiarity with CI/CD concepts and tools
• Version Control: Comfortable with Git and GitHub workflows
• Communication: Strong English communication skills; ability to demo work and collaborate with team members

Nice-to-Have Skills

We'd especially value candidates with:

• Experience in writing GitHub Actions workflows or similar CI/CD pipelines
• Infrastructure as Code experience, preferably Terraform / OpenTofu
• Kubernetes fundamentals (deploying applications, understanding pods/services)
• Helm chart experience
• Bash/shell scripting proficiency
• Docker containerization basics
• Web application development skills (esp. Node.js and React) 

Important: Don't worry if you don't have all these skills! We value curiosity and willingness to learn. If you're strong in Python and cloud platforms and excited to develop expertise in GitHub Actions, Terraform, and Kubernetes, we encourage you to apply.

What Makes This Role Unique

• Learning opportunities: We'll support your growth in areas like Kubernetes, Helm and Terraform 
• Impact: Your automation work will directly reduce manual deployment overhead. You'll work closely with other teams (Solutions Architecture team, Quality Analysis team), building tools that directly improve their daily work
• Collaboration: Regular interaction with other teams to understand needs and demo features. 
• Modern stack: Work with current technologies and cloud-native patterns

About Our Team

We value:

• Collaboration and communication - sharing knowledge and learning together
• User focus - understanding the needs of the teams we support
• Quality - writing maintainable, tested code with proper documentation
• Growth mindset - eagerness to learn new technologies and approaches