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Join a forward-thinking company that is revolutionizing drug discovery through modular chemistry and AI/ML integration. As a bioanalytical associate scientist, you'll leverage your expertise in LC/MS to optimize high throughput systems, develop innovative analytical methods, and collaborate with cross-functional teams. This role offers the opportunity to contribute to groundbreaking advancements in medicine, all while working in a dynamic and inclusive environment. If you are passionate about analytical sciences and eager to make a significant impact, this position is perfect for you.
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 leveragessmart blocksas the foundation of drug design and synthesis. Oursmart blocksand 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.
We are seeking a highly skilled bioanalytical associate scientist with a strong background in LC/MS for small molecule and/or ADME analysis to join our team. The ideal candidate will have a Bachelor's or Master's degree and at least 3 years of experience working with LC and Mass Spectrometry technologies. This role involves operating, maintaining, and optimizing High Throughput MS systems for qualitative and quantitative analyses, as well as developing and implementing analytical methods.
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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.
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