Description:
Research Assistant Synthetic Molecule Pharmaceutical Sciences (Chemistry Automation)
Role Overview
The Research Assistant will join the Chemistry Automation team within Synthetic Molecule Pharmaceutical Sciences, supporting early-phase small-molecule drug development through high-throughput, automation-enabled experimentation. This role focuses on the design, execution, analysis, and documentation of synthetic and analytical experiments using advanced robotic platforms and state-of-the-art characterization tools.
Key Responsibilities
High-Throughput Experimentation & Automation
Design, set up, and execute high-throughput screening (HTS) experiments for reaction optimization, solubility, crystallinity, polymorph, and solid-form screening
Operate and support robotic and automated laboratory platforms, liquid handlers, and integrated analytical systems Prepare samples, reagents, and plates in accordance with established SOPs and safety requirements
Analytical Characterization & Data Generation
Perform compound characterization using advanced analytical techniques, including XRPD, microscopy, UHPLC/HPLC, MS, and SFC
Analyze, interpret, and document experimental data in electronic lab notebooks (ELNs)
Partner with subject matter experts to ensure data quality and reproducibility
Collaboration & Laboratory Support
Collaborate with chemists, automation scientists, and analytical experts across functions
Participate in data reviews, troubleshooting discussions, and continuous process improvement efforts Support general laboratory operations, including inventory management, equipment upkeep, and lab organization
Required Qualifications
BS or MS in Chemistry, Chemical Engineering, Pharmaceutical Sciences, or a related field
1 5 years of relevant pharmaceutical, biotech, or chemical research experience
Preferred Skills
Experience with laboratory automation and robotic systems
Familiarity with air-free techniques and glovebox operations
Working knowledge of chromatographic and analytical methods
Proficiency with laboratory software, ELNs, and data analysis tools
Core Competencies
Strong attention to detail and data integrity
Effective written and verbal communication skills
Ability to work independently and collaboratively in a fast-paced environment
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