The qualified candidate will take an active role in supporting drug development by applying a variety of analytical methodologies to support physical and chemical characterization of drug substances (including raw materials and intermediates) and drug products. Working knowledge and ability to operate analytical (e.g., HPLC-MS, GC-MS, spectroscopy) and physical (e.g., particle size, dissolution) techniques used for the characterization of pharmaceutical substances and products is desired.
Performing laboratory work in support of analytical testing of pharmaceutical projects with some experience in any of the following analytical methodologies: chromatography, KF, particle size, dissolution, or mass spectrometry.
Works with colleagues and subject matter experts to assess the most appropriate analytical approach to support project activities, including use of computational predictive tools, modelling software and data visualisation tools where appropriate.
Job responsibilities may include running analytical methods; performing stability and release testing; testing to support pharmaceutical development efforts;documentation of experimental results; direct interaction with project team members, including presentation of data; critical review of data and preparation of technical reports.
The individual should also be proficient with a wide-variety of software and information systems.
The colleague must be able to interact effectively with peers and leaders as part of a multi-disciplinary team and thrive in a fast-paced environment.
Attention to detail, strong organizational skills, the ability to multitask, and effective interpersonal and communication skills are required.
BA/BS Chemistry or related field
Minimum of 6 months relevant experience either in a GMP lab environment, or an academic or industrial research lab.
Ability to meet project milestones under general supervision, manage expectations for specific projects, ensure delivery of technology/transfer/submission-ready technology, data and documents.
The ability to use computational predictive tools, modelling software or data visualisation tools.
Experience in problem-solving skills and instrument trouble-shooting.
Demonstrated oral and written communication skills, especially adherence to laboratory notebook practices.
Experience with a wide-variety of software and information systems (e.g. electronic lab notebooks, Empower and LIMS).
Last day to apply: July 20, 2020
Eligible for Relocation Package: no
Eligible for Employee Referral Bonus: yes
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Research and Development
Posted 30+ Days Ago
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