Drug Discovery Software Engineer

Excelsior Sciences of New York is transforming small molecule therapeutic drug discovery with the use of modular chemistry, to make better medicines fast. Excelsior's modular approach leverages smart blocks as the foundation of drug design and synthesis. Our smart blocks and proprietary methodologies enable chemistry that machines can do, rather than building machines that attempt to do chemistry as it is practiced today. By coupling our automated synthesis and testing, we can reduce the design-make-test-analyze cycle to two weeks. This rapid generation of high-quality data allows us to fully leverage AI/ML to create closed learning loops and conduct multiparameter optimization, resulting in better medicines, fast. Excelsior's operations are fully U.S.-based, as our automated approach enables us to onshore integrated drug discovery.

Title:Drug Discovery Software Engineer

We are seeking a skilled software engineer with an understanding of laboratory automation and informatics systems for drug discovery to be part of a collaborative cross-functional team working closely with our scientists. The ideal candidate will have exceptional problem-solving abilities, and a passion for leveraging technology to make a tangible impact. Your role will involve developing software solutions to support automated lab workflows, managing data, and integrating technologies like agentic AI/ML.

Key Responsibilities

• Work collaboratively with scientists, AI experts and automation engineers to build, deploy and maintain software tools that automate various lab processes. This includes cloud and desktop software applications which integrate lab automation devices, LIMs systems, and our proprietary AI platform.
• Contribute to the development and implementation of data management strategies to support automated drug discovery projects
• Integrate diverse data sources and informatics tools to create new solutions which facilitate holistic analysis and decision-making.
• Maintain appropriate project and code documentation
• Stay updated on emerging automation, informatics and software tools relevant to early drug discovery.
• Provide training and support to research staff on informatics tools and best practices
• Participate in cross-functional meetings to align software development efforts with project goals

Required Qualifications

• BS or MS in the life sciences, computer sciences, or a related field is required.
• Must have a minimum of 3-5 years of experience in software development related to laboratory sciences within the pharmaceutical/biotech industry.
• Must be proficient in modern programming languages (like Python, JavaScript, and/or C#) with expertise utilizing coding agents (e.g., Claude Code, Codex). A strong understanding of database systems (e.g., Oracle, SQL Server, Aurora) and a familiarity with best practices for software development, including modern CI/CD pipelines is expected.
• Previous experience with LIMS, ELNs, digital orchestration software, and cloud platforms for data management as well as software automation/integration tools (i.e, REST API, MCP Servers).
• Capability to manage multiple projects simultaneously
• Ability to work independently and as part of a team
• Excellent organizational skills and attention to detail
• Strong written and verbal communication skills

Additional Preferred Qualifications

• Previous experience working with laboratory automation technologies
• A familiarity integrating lab instrumentation and LIM systems.

The salary range for this position is $140,000-$220,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off and other benefits.

Excelsior Sciences of New York Is an equal opportunity employer (EEO). We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law.

Location: New York, NY.

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