About the role

Aplyr's Quick Take

This role is for a Full Stack Developer who will build web applications for scientific data interaction. You'll work on both front-end and back-end development, creating APIs and user interfaces while collaborating with scientists and researchers. It's primarily an individual contributor role focused on software development.

Good fit

Ideal candidates are engineers with 1-2 years of experience in full stack development, particularly with JavaScript frameworks and Python. A problem-solving mindset and a willingness to learn about scientific applications will help you thrive here.

Worth noting

The role emphasizes collaboration with scientists, which may be unique compared to typical tech roles. The company is open to candidates without a specific scientific background, which could be a plus for those looking to transition into this field.

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!)

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.

Skills & Tags

react python java typescript javascript go aws gcp

Aplyr's read

Schrödinger leverages computational modeling to innovate in drug discovery and materials science, attracting scientists and tech experts passionate about cutting-edge research.
Synthesized from recent postings & public sources

What's promising

•Schrödinger is at the forefront of computational drug discovery, offering significant innovation potential.
•The company provides a collaborative environment for scientists and technologists to solve complex problems.
•Schrödinger's global presence allows for diverse career opportunities across various scientific and technical roles.

What to watch

•High reliance on computational methods may limit applicability in some real-world scenarios.
•The niche focus on modeling requires specialized skills, potentially narrowing job applicant pools.
•Rapid technological changes in biotech could outpace Schrödinger's current capabilities.

Why Schrödinger

•Schrödinger integrates advanced computational techniques with traditional scientific methods.
•The company's dual focus on drug discovery and materials science is relatively rare in the industry.
•Schrödinger's software solutions are pivotal in reducing time and cost in the R&D process.

Aplyr’s read is generated by AI from public sources. Was it useful?