Scientific Software Developer

As a Scientific Software Developer at Schrödinger, you will be responsible for developing core force field libraries using Python and C++. You'll collaborate with scientific experts to explore new force field terms and optimize workflows to enhance scalability and reliability.

To qualify for the Scientific Software Developer position at Schrödinger, you should possess a Master's or PhD in Chemistry, Biology, Physics, or a related field. Additionally, intermediate knowledge in Python and modern C++ is required, along with at least two years of relevant software development experience.

A successful Scientific Software Developer at Schrödinger should be proficient in Python and modern C++. Familiarity with object-oriented software development and an interest in applying best engineering practices is also essential.

The culture at Schrödinger is relaxed yet engaged, with a strong focus on collaboration, innovation, and diversity. Employees enjoy catered meals, plenty of paid time off, and fun company-wide events, making it a vibrant workplace for Scientific Software Developers.

The estimated base salary range for the Scientific Software Developer position at Schrödinger is between $100,000 and $160,000, depending on experience, education, and overall qualifications.

In your response, highlight specific projects where you've utilized Python or C++ extensively. Discuss any frameworks or libraries you have experience with and how they relate to scientific software development.

Talk about your communication skills and willingness to understand and incorporate scientists' needs into your development process. Provide an example of a successful collaboration in a previous role.

Explain your familiarity with profiling tools and optimization techniques you've employed, such as algorithm improvements or memory management, and how these have led to enhanced performance for scientific computations.

Detail a specific instance where you faced a complex issue, and share the debugging techniques you used to identify and fix the problem efficiently.

Discuss your knowledge of molecular simulation and its applications in validating models, emphasizing its relevance to the role of a Scientific Software Developer and your interest in the field.

Talk about coding standards, comments, documentation practices, and testing methodologies you utilize to produce clean and maintainable code in your projects.

Share resources like scientific journals, online courses, or conference participation that you utilize to keep pace with continuous advancements in scientific software development.

Give a specific example that illustrates how you've implemented development best practices, such as version control, unit testing, or code reviews, in a past project.

Demonstrate your passion for improving human health through technology and how Schrödinger’s mission resonates with your own professional values and goals.

Emphasize your belief in the importance of collaboration and diversity in problem-solving, providing examples of how you've effectively worked in diverse teams to produce successful outcomes.