Schrödinger seeks a Senior Event Specialist to join us in our mission to transform the discovery of therapeutics and materials.

Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.

Who will love this job:

• An organized planner who loves event coordination
• A proactive marketer who enjoys conferences and trade shows

What you’ll do:

• Coordinate end-to-end logistics of Schrödinger’s conference participation, including booth management, shipping logistics, vendor coordination, and on-site execution
• Manage event storage and inventory, ensuring materials are properly labeled, tracked, and maintained between events
• Coordinate event-related logistics for staff and speakers, registrations, booth assignments, and lead capture tools
• Track event deadlines, maintain organized documentation, and communicate timelines and updates to internal stakeholders
• Liaise with event organizers, contractors, and exhibit vendors to ensure seamless setup and execution
• Support lead capture, tracking, and post-event reporting to evaluate performance and ROI
• Assist in planning and coordinating Schrödinger’s webinars by supporting scheduling, speaker coordination, dry runs, and live event management
• Prepare run-of-show documents and ensure timely completion of post-event tasks

What you should have:

• Bachelor’s degree in Marketing, Chemistry, Biology, or a related field
• One to two years in field marketing (experience in a scientific software environment is preferred)
• Capability to travel 15-25% of the time
• Ability to lift and move boxes up to 50 pounds
• Interest in learning event technology platforms (e.g., Bizzabo, Zoom, Salesforce)

We’re seeking a Solutions Architect 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 Enterprise Informatics team, you’ll work directly with top-tier customers, scientists, and developers to deploy, configure, and tune the company's high-end suite of molecular modeling and informatics applications and related systems. You’ll also maintain scientific computing resources and work with highly-skilled individuals in technically challenging software environments. In your conversations with our Product Managers, you’ll be the voice of the customer!

If you don’t consider yourself an expert in all of the fields below, that’s OK - we’re looking to hire an adaptable polymath who’s excited to learn on the job. Our highly collaborative team will be happy to help you get up to speed in any unfamiliar areas.

Who will love this job:

• A cloud computing expert who’s familiar with Kubernetes technologies on at least one major cloud provider (e.g. AWS)
• A passionate engineer who understands web-based applications (e.g., REST APIs, SAML/SSO backends, containerized workloads)
• A data wrangler who can craft ETL pipelines to manage complex data with multiple sources and destinations (e.g., SQL databases, JSON, flat files)
• A GPU computing enthusiast who’s administered HPC environments with distributed resource management systems, application deployments, networking and security, etc.
• A problem-solver with excellent diagnostic and troubleshooting skills in Linux environments, with high proficiency in writing code and scripts (e.g., Python, bash)
• A quick learner who’s driven to investigate and address emergent issues in multiple production-critical environments
• An excellent communicator who’s willing to go the extra mile to help our customers and travel to customer sites

What you’ll do:

• Ensure that our enterprise software performs optimally in the customer cloud environments
• Implement optimal deployment strategies and solutions for integration with customer internal systems and technologies
• Help customers solve thorny technical issues by cooperatively building creative, customized solutions
• Work closely with customers on installation, configuration, and update/maintenance of cloud-hosted software and infrastructure deployments
• Collaborate with product managers, scientists, and software developers to improve the deployment, support, and configuration aspects of our applications

What you should have:

• Extensive experience with Kubernetes technologies on major cloud providers (ideally AWS)
• Significant research data management background in the pharmaceutical industry (or similar scientific data space)
• Robust Linux experience (and proficiency in a scripting language like bash or Python)
• An interest in life sciences and/or physics (a formal academic background in the classical sciences is a plus!)
• Willingness to travel to customer sites frequently and do occasional on-call work on evenings, weekends, and holidays

We’d prefer to hire someone who has:

• Clear grasp of networking concepts (e.g., DNS, routing, firewalls, VPCs, NAT gateways)
• A greater-than-end-user's understanding of HPC systems
• Willingness for occasional travel to Schrödinger's offices and customer sites within the US

Schrödinger seeks a Retrosynthesis Researcher in Machine Learning (ML) to join us in our mission to transform the discovery of therapeutics and materials.

Schrödinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.

• An ML expert who has applied AI tools to chemical reaction prediction or retrosynthesis (e.g., reaction templates, template-free approaches) and understands organic synthesis and reaction mechanisms
• An experienced user of cheminformatics tools (e.g., RDKit, Open Babel)
• A proficient Python programmer who’s familiar with ML tools like Pytorch, Tensorflow, and JAX
• An excellent problem-solver who’s comfortable working collaboratively in a multidisciplinary research environment

What you’ll do:

• Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction
• Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions, and identify novel synthetic routes
• Curate and manage reaction datasets from literature, patents, and proprietary sources to train and validate predictive models
• Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software
• Collaborate with synthetic chemists to experimentally validate predicted retrosynthetic routes and optimize laboratory workflows
• Contribute to scholarly publications in high-impact journals and represent the research group in conferences and workshops

What you should have:

• PhD in Chemistry, Computational Chemistry, Cheminformatics, or a related field
• A solid publication record that demonstrates expertise in retrosynthesis algorithms and computational chemistry

We’d prefer to hire someone who has:

• Familiarity with chemical reaction databases (e.g., Reaxys, USPTO, Pistachio)
• Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN)
• A background in graph-based learning, attention mechanisms, and transformer architectures applied to chemical data
• Familiarity with reaction condition prediction and reaction yield optimization.
• Experience with Schrödinger Suite and LiveDesign
• Experience with de novo design and generative machine learning methods
• Experience with cloud computing and/or high-performance computing (HPC) resources
• Exposure to quantum chemistry (DFT) is a plus

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 seeks a Computational Materials 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 work closely with our team to help customers apply our computational tools to industrial research and development.

Who will love this job:

• A computational chemistry expert who’s had hands-on experience with real-world molecular and materials science problems
• A skilled Python and Bash scripter who enjoys prototyping simulation tools, integrating computational chemistry software, and automating high-throughput simulations
• An excellent communicator and team player who can translate complex scientific concepts for both technical and non-technical stakeholders
• A detail-oriented scientist eager to work on diverse projects with industrial partners

What you’ll do:

• Perform molecular simulations-focused projects using Schrödinger tools and meet project deadlines
• Develop and enhance Python and Bash scripts for simulation automation and data analysis
• Collaborate with cross-functional teams to identify and implement molecular modeling solutions for various industries
• Present technical results in internal and external meetings.
• Contribute to scientific publications and research projects

What you should have:

• PhD in Chemistry, Materials Science, Chemical Engineering, or related field
• Deep background in molecular dynamics (MD) simulations and its applications in materials science
• Proven expertise in Python scripting, particularly in conjunction with scientific software tools
• Exposure to high-performance computing (HPC) environments and Linux operating systems
• Proven research track record of publications in the computational modeling field
• Experience in simulations related to complex solution or polymers is a plus, but not required

We’re seeking Materials Science Applications Scientists to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods.

Schrödinger is a science and technology leader with over 30 years of experience providing solutions for atomic-scale modeling and physics-based chemical simulations. As part of our European Materials Science Applications Science team, you’ll work closely with our industrial and academic customers and help solve challenging scientific problems.

Who will love this job:

• A computer-aided materials science enthusiast (both in theory and application) who has solid experience in design and analysis of materials based on atomistic simulations
• An excellent communicator and presenter with superb organizational skills
• A dedicated scientist interested in advancing materials science research
• A creative collaborator who enjoys helping others solve problems
• A self-motivated team player who can also conduct independent research

What you’ll do:

• Provide scientific support to current and prospective customers, which includes scientific presentations; giving demonstrations of our materials science modelling platform; training; and working with customers to enable them to solve challenging scientific and engineering problems
• Act as a critical link between our customers and Schrödinger software developers, Sales, and Marketing by providing feedback on technology requirements, feature enhancements, and use-case scenarios
• Publish scientific papers and present at conferences

What you should have:

• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related field
• Broad knowledge of molecular modeling theory and applications; extensive experience with classical molecular dynamics simulations of complex materials systems (e.g., polymers, soft matter, or structured solutions)
• Enthusiasm for traveling to meetings at customer sites
• Excellent English language skills (both verbal and written)

Preferred skills and background:

• Experience with applying coarse-grained and/or quantum mechanical modeling techniques in materials science research 
• Familiarity with modern machine learning techniques for materials science 
• Experience in the commercial sector
• Python programming proficiency

Our benefits include local transport reimbursement, a BahnCard 50, our Employee Equity Plan, the EGYM Wellpass (corporate fitness program), bike leasing, an employee volunteer program, our donation match program, access to the corporate benefits platform, a dedicated counseling service, and our travel insurance.

When you’re in the office you can profit from our central location, the charging of personal devices with green energy, stocked kitchens with coffee/tea, fruit, snacks, and beverages, and the organization of team-building and social events.

Sound exciting? Apply today and join us!

Schrödinger seeks a Vice President of Marketing 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 leader on our Marketing team, reporting to the Chief Commercial Officer (CCO), you’ll architect our demand generation strategy and be responsible for building a robust top-of-funnel pipeline that converts scientific interest into measurable commercial growth. You won't just oversee a brand; you’ll scale a predictable lead-to-revenue machine that supports our mission to revolutionize drug discovery.

Who will love this job:

• A growth architect with a proven track record of scaling B2B SaaS or Life Science organizations
• A science aficionado who can translate complex workflows into compelling business outcomes in collaboration with chemists and other computational researchers 
• A marketing automation expert who believes that if it isn’t tracked, it didn’t happen
• An excellent team player who thrives in cross-functional environments (this hire will connect Product R&D and Global Portfolio Leaders)

What you’ll do:

• Own the global lead generation quota; develop and execute data-driven performance marketing strategies to aggressively grow Marketing Qualified Leads (MQLs) and Sales Accepted Leads (SALs)
• Partner with the CCO and Global Portfolio Leaders (GPLs) to define go-to-market strategies for our Life Sciences and our Materials Science suites, ensuring product positioning translates directly into the commercial pipeline
• Map and optimize the buyers’ journey from initial awareness through to advocacy, utilizing HubSpot, HighSpot, and Salesforce to track attribution and ROI
• Direct the creation of high-impact technical content (white papers, case studies, webinars) designed to capture intent and move pharma/biotech decision-makers through the funnel
• Identify emerging trends and competitive shifts in the market, ensuring Schrödinger’s value proposition remains the gold standard in computational chemistry

What you should have:

• At least ten years of marketing leadership experience (at least five years in B2B life sciences, biotech, or computational chemistry)
• Extensive experience managing performance marketing budgets and hitting MQL/Pipeline targets
• Bachelor’s degree or higher in a scientific discipline (Chemistry, Biology, or related field); an MBA is a plus
• Expert-level proficiency with HubSpot, Salesforce, MS Office, and Google Suite
• Robust experience in digital marketing via search and social media 
• Familiarity with the drug discovery life cycle and informatics platforms
• Background in computational modeling or drug discovery informatics 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 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

Schrödinger seeks a Machine Learning (ML) Platform Engineer 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 Machine Learning team, you’ll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.

Who will love this job:

• A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production
• An ML expert who’s familiar with PyTorch, TensorFlow, and scikit-learn
• An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems
• A polymath who’s excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration

What you’ll do:

• Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows
• Build and maintain production systems that enable scientists to run large-scale ML workloads
• Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools
• Contribute to backend services and APIs supporting ML workflows and platform features
• Improve developer workflows, testing infrastructure, and deployment automation
• Participate in code reviews and contribute to engineering best practices across the team
• Pitch in on frontend components of the ML platform web interface when needed

What you should have:

• BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field

Experience with the following is nice to have, but not required:

• Cloud platforms like AWS or GCP
• Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows,  Helm charts, etc.)
• CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)
• Monitoring, logging, or observability systems
• Distributed computing or large-scale ML workloads
• ML training pipelines or experiment management
• Data processing pipelines or large-scale data analysis
• Source control systems (Git or similar)
• Web application development (e.g., React, TypeScript, REST APIs)
• Interest in scientific computing, chemistry, biology, physics, or related domains

We’re looking to hire a Strategic Deployment Manager 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 Enterprise Informatics team, you’ll play a vital role in all stages of the Schrödinger Platform deployment for customers, from initial project scoping through to long term successful adoption. By serving as the bi-directional voice for these customers, you’ll also help drive future product development strategy.

Click here for more information about how the Schrödinger Platform is helping shape the future of collaborative therapeutic design. 

We're seeking to fill this position in one of our offices in Germany (Mannheim, Munich) or remotely in the UK.

Who will love this job:

• A pharmaceutical or chemical enterprise software technology expert who’s knowledgeable about industry best practices and enjoys interacting with medicinal chemists, computational chemists, biologists, and project leadership
• A scientist who understands project management in a corporate research setting (direct experience with pharmaceutical drug discovery is a huge plus!)
• An effective communicator with excellent organizational skills
• A customer-service oriented deployment manager who’s passionate about helping drive user success

What you’ll do:

• Manage LiveDesign implementation projects from early-stage discussions through deployment, training, and growth
• Ensure long-term customer success through use of the Schrödinger Platform
• Collaborate internally with Account Managers, Applications Scientists, Solutions Architects, and the Education team to ensure success of the account by enabling substantial growth and usage
• Help drive the product roadmap and development by working closely with product management and engineering, representing real-world customer needs

What you should have:

• B.Sc. in a life science (M.Sc. or Ph.D. preferred)
• At least three years of experience in a life sciences field related to drug discovery
• Experience with computational chemistry or cheminformatics in a research setting

What we offer:

• A highly motivated international workplace with growth potential
• Internal mentorship and training
• Competitive salary and flexible working environment
• Annual company shutdown in addition to regular vacation days  

As a Schrödinger employee, you'll also enjoy our employee volunteer program, our donation match program, access to the corporate benefits platform, a dedicated counseling service, and our company travel insurance. As an employee in one of our offices in Germany (Mannheim or Munich), you'll enjoy local transport reimbursement, a BahnCard 50, bike leasing, and the EGYM Wellpass (corporate fitness program). Our offices are centrally-located, stocked with snacks and beverages, powered by green energy, and host to many team-building events.

Schrödinger, the leading software and service provider for atomic-scale modeling and physics-based chemical simulations, seeks an Account Manager who will be responsible for establishing our materials science solutions in Europe.

This position offers a great opportunity to build and maintain a portfolio of materials science accounts within diverse industries (e.g., chemicals, aerospace, electronics, energy, etc.) across the continent.

Who will love this job:

• An avid enthusiast of computational chemistry software, research informatics, and/or materials science/chemistry
• An experienced business strategist who enjoys communicating opportunities with colleagues and maintaining accurate sales forecasts
• An outstanding customer relationship manager
• A highly motivated self-starter who can work independently or as part of a team
• An excellent communicator and problem-solver
• An enthusiastic traveler who’s willing to be on the road part of the time

What you’ll do:

• Build a pipeline by identifying and creating new business opportunities
• Communicate the benefits of digital chemistry approaches to industry
• Work with the scientific and IT teams by planning/conducting customer presentations, demonstrations, road shows and special events
• Continuously monitor market dynamics, analyze market opportunities, and build and execute marketing plans
• Manage key accounts
• Produce timely and accurate revenue forecasts
• Travel to customers and prospects as needed

What you should have:

• Advanced degree in chemistry, materials science or a related field
• At least two years of business experience in the scientific software space (local market knowledge is a plus)
• Fluency in English (German or French is a plus)
• Motivation to develop a market

Schrödinger seeks a Global Portfolio Leader 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 leader on our Sales team, you will be the primary strategic architect for our small molecule modeling software Portfolio, ensuring that the Portfolio drives value across global pharmaceutical and biotechnology pipelines. This role involves partnering with R&D leadership to embed our software into their scientific workflows, demonstrating the value of running the Schrödinger Platform at scale. You’ll be a bridge between our customers' scientific goals and Schrödinger’s internal product and drug discovery teams.

Who will love this job:

• An experienced account manager with a proven track record of managing across diverse regions and time zones
• A leader who’s excited to steward the health, growth, and strategic alignment of Schrödinger’s top-tier global accounts
• A scientific thinker who understands the drug discovery process (hit-to-lead through clinical trials) and the role of molecular modeling
• An exceptional communicator who enjoys translating complex technical and scientific concepts into business value for C-suite executives

What you’ll do:

• Design and implement comprehensive Go-to-Market (GTM) strategies for new software modules and platform updates within your portfolio; collaborate with Marketing and Product teams to define value propositions, identify high-potential user segments, and create roadmaps for successful product integration across global R&D sites
• Serve as the primary point of contact for executive stakeholders across a global portfolio; develop and execute multi-year account strategies that align our computational capabilities with clients’ therapeutic areas
• Identify opportunities for the expansion of the assigned product portfolio; work closely with Scientific Lead teams to ensure high-impact software adoption
• Manage the full lifecycle of global renewals and expansions; ensure a predictable revenue stream by maintaining high satisfaction levels and demonstrating clear ROI on computational spend
• Orchestrate internal resources, including Account Managers, Education Specialists, and Application Scientists, to deliver a unified and elite experience for global accounts
• Act as a "voice of the customer" to our Product Management and Executive teams, providing feedback on market trends and competitor movements within the drug discovery space

What you should have:

• At least seven years of account management, strategic consulting, or business development experience in the life science or SaaS sectors
• MSc or PhD in Computational Chemistry, Biology, Physics, or a related field highly preferred but not required