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About the Role

This role is on the Automation team (Physical AI & Lab IT) and is responsible for the software and systems connecting physical lab devices and robotic platforms to digital lab data and AI agents. The role also serves as the Primary Service Owner for all Lab IT Support at Excelsior Sciences, managing lab computer lifecycle, endpoint security, and backup infrastructure. The ideal candidate will combine software engineering skills with practical lab instrumentation knowledge and hands-on Lab IT ownership to ensure automated lab workflows are dependable and the computing environment is secure and operational.

Responsibilities

Design, build, and maintain software automation suites and agents that control lab automation devices.
Develop software tools to automate manual processes and improve reliability, throughput, and data quality of automated workflows.
Design and implement digital solutions and data workflows, focusing on instrument integrations and the hand-off between physical execution and lab data systems.
Build and operate the orchestration and interface layer for AI agents to plan, dispatch, monitor, and learn from automated experiments.
Conduct testing, troubleshooting, and continuous improvement of automated workflows, including root-cause analysis.
Contribute to data management strategies and integrations to make instrument and automation data FAIR and usable by scientists and AI systems.
Integrate diverse data sources and informatics tools to support analysis and decision-making in early drug discovery.
Stay current on emerging automation, informatics, orchestration, and agentic AI tools; evaluate and prototype promising approaches.
Provide training and support to research staff on automation and informatics tools.
Participate in cross-functional meetings to align automation efforts with project and platform goals.
Own warranty support for all lab computers, coordinating repairs, replacements, and vendor interactions.
Complete Windows configuration, install and configure remote access software, endpoint protection, and backup clients for lab computers.
Own and maintain the Datto server for lab computer backups, ensuring integrity and operational health.
Serve as the single point of accountability for Lab IT support needs, coordinating with the managed services IT team when necessary.

Requirements

BS or MS in Computer Science, Software Engineering, Bioengineering, Life Sciences, or a related field.
3 to 5 years of experience in digital or laboratory automation, ideally within pharmaceutical, biotech, or high-throughput research environments.
Proficiency in Python and at least one of JavaScript/TypeScript, C#, or R.
Experience with software development best practices (version control, testing, code review, CI).
Hands-on experience with software automation and integration approaches (REST APIs, device SDKs, messaging, or equivalent).
Familiarity with LIMS, ELNs, digital orchestration/scheduling software, and/or cloud platforms (including Azure) used in research settings.
Practical understanding of laboratory instrumentation and automation technologies.
Ability to troubleshoot across software and physical systems.
Hands-on experience with Windows endpoint configuration, Azure AD/Entra join or similar identity integration, endpoint security tools, remote access solutions, and backup platforms.
Strong communication and collaboration skills.
Ability to work effectively with scientists and engineers in a fast-paced environment.
Ability to manage multiple projects and work independently.
Comfort serving as primary owner for operational Lab IT support.

Skills

Python
JavaScript/TypeScript
C#
R
Software development best practices
Version control
Testing
Code review
CI
REST APIs
Device SDKs
Messaging
LIMS
ELNs
Digital orchestration/scheduling software
Azure
Windows endpoint configuration
Azure AD/Entra join
Endpoint security tools
Remote access solutions
Backup platforms
Agentic AI / multi-agent systems
RAG pipelines
Orchestration layers
Liquid handlers
Robotic workcells
Green Button Go
Cellario
Overlord
Prefect
Airflow
Temporal
Dagster
Data pipelines
Instrument data models

Location

New York, NY

Work Type

Full-time

Experience Level

3-5 years

Education Level

BS or MS in Computer Science, Software Engineering, Bioengineering, Life Sciences, or a related field

Salary/Compensations

$120,000 - $175,000 per year

Benefits

Health insurance
Paid time off
Other benefits

About the Company

Excelsior Sciences is reinventing small-molecule discovery and manufacturing through Blocc chemistry—modular, automation-friendly chemistry designed for machines to execute and AI to learn from—combined with closed-loop AI learning systems.
Backed by a $70M Series A from Deerfield, Khosla Ventures, and Sofinnova, along with a $25M Empire State Development grant.
Building a lean, high-leverage organization at the intersection of chemistry, automation, software, and AI.
Investors include Eli Lilly, Cornucopian Capital, Illinois Ventures, and MIT.
Based at the Cure building in New York City.
Goal is to build a chemistry and AI-native discovery platform where high-quality experimental data continuously feeds learning systems to accelerate molecular design, experimentation, and discovery.

Equal Opportunity

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.