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EyeBio

Associate Scientist, Postdoctoral Fellow - Data-Rich Experimentation

EyeBio, Rahway, New Jersey, us, 07065

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Job Description

Postdoctoral Research Fellow in Data Rich Experimentation – (Synthetic Chemistry and Machine Learning)

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories’ Postdoctoral Research Fellow Program aims to be a best‑in‑industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.

Position Overview Join our team and be part of an exciting opportunity to develop groundbreaking catalytic methodologies in the field of drug discovery and development. This full‑time position is located within the Data Rich Experimentation group in the Department of Process Research and Development, based in Rahway, New Jersey, USA. Our state‑of‑the‑art laboratory is equipped with world‑class facilities, advanced equipment, and a team of experts dedicated to catalysis research. As a member of our team, you will be responsible for applying high‑throughput experimentation (HTE) techniques to drive reaction discovery and optimization. You will employ machine learning tools to develop new and diverse ligand collections for the application in asymmetric catalysis—with an emphasis on earth‑abundant metals. You will have the opportunity to author peer‑reviewed publications and deliver conference presentations.

To thrive in this position, the ideal candidate should possess outstanding organizational, interpersonal, and communication skills. We are searching for an individual with a passion for exploring synthetic methodology development at the interface of data science and asymmetric catalysis for application to pharmaceutically relevant transformations.

Responsibilities

Creatively solve challenging synthetic problems

Drive results independently in a cross‑functional, collaborative environment

Communicate synthetic and data science innovations through publications and presentations

Efficiently use data‑rich experimentation technologies, data science, and machine learning to accelerate reaction discovery and optimization

Education Minimum Requirement Candidates must currently hold a PhD or receive a PhD in chemistry or a related field by Spring 2026.

Required Experience and Skills

Strong experience in synthetic chemistry

Efficient written and oral communication skills

Strong organizational skills and demonstrated ability to drive project results

Preferred Experience and Skills

Familiarity with data science/machine learning tools or an interest in learning these tools

Experience in method development, mechanistic studies, and reaction optimization

Experience in asymmetric catalysis

Experience in earth abundant metal catalysis

Salary Range $75,000.00 – $86,000.00

Benefits Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days.

Equal Employment Opportunity Statement As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

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