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 Informatics Specialist

We are seeking a highly skilled professional with a deep understanding of both the scientific and informatics aspects of drug discovery, exceptional problem-solving abilities, and a passion for leveraging technology to make a tangible impact. Your role will involve harnessing the power of data analytics, laboratory informatics, and computational tools to accelerate the discovery and development of new therapeutic drugs. In this position, you will collaborate closely with multidisciplinary teams of scientists, researchers, and technologists to transform raw data into actionable insights, thereby driving forward our mission to combat various diseases and improve global health outcomes. The ideal candidate is not necessarily a bioinformatician but rather an individual with deep experience working with LIMS systems from companies like Benchling, CDD Vault, Dotmatics, and/or Scigilian.

Key Responsibilities

• Support the development of an informatics backbone to drive our automated approach to lead discovery. This includes the ability to develop software tools which connect our AI tools, automation, and LIMs systems.
• Participate in cross-functional meetings to align informatics efforts with project goals. Contribute to the development and implementation of data management strategies to support drug discovery projects
• Collaborate with research scientists and other stakeholders to understand and document data needs
• Working with other technical staff, design, implement and maintain data systems and associated tools for storing, retrieving and analyzing complex datasets from across our Chemistry, Biology, and AI departments.
• Integrate sample tracking, data transfer, and multiple instrument communications into laboratory information management systems (LIMS).
• Develop and execute testing plans for new implementations of LIMS and other data related software; document outcomes.
• Provide training and support to research staff on informatics tools. Assist our scientists with data mining and statistical analysis to identify patterns and trends in our data.
• Coordinate information management activities with external partners in academia and industry.
• Stay updated on emerging informatics tools and methodologies
• Maintain the highest level of scientific rigor and professionalism within our organization.

Basic Required Qualifications

• MS or Ph.D. in the Life Sciences, Bioinformatics, Cheminformatics, Computer Science, or a related field with a minimum of 3-5 years of industry experience in data sciences or a related discipline OR BS in the Life Sciences, Bioinformatics, Cheminformatics, Computer Science, or a related field with a minimum of 5-7 years of industry experience in data sciences or a related discipline.
• Understanding of drug discovery and development processes with experience in high-throughput screening data analysis in a pharmaceutical or biotechnology industry setting
• Working knowledge of implementing and administrating drug discovery database management systems (including tools like Benchling, CDD Vault, Dotmatics, and/or Scigilian)
• Proficiency in programming languages such as Python, JavaScript, C# and/or R.
• 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

• Experience integrating laboratory automation systems with informatics systems
• Familiarity with machine learning techniques and applications in drug discovery
• Familiarity with cheminformatics and molecular modeling tools
• Familiarity working with AWS

The salary range for this position is $115,000-$209,000 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, New York

#LI-DNI