Research Associate: Lead Discovery and Optimization

Employment Type

: Full-Time


: Miscellaneous

Our Lead Discovery and Optimization team is a central, critical element of our research engine. We are looking to greatly expand the size and scope of this department, with positions available immediately. We are seeking self-motivated, collaborative and highly skilled individuals to work with us to discover novel anti-inflammatory and immunotherapeutic oncology drugs. We have an opening for an enthusiastic and motivated research associate. The job requires the application of creative problem-solving approaches to the execution of new biochemical and cell-based assays. The successful candidate will have excellent practical laboratory skills, coupled with aptitude and enthusiasm for automated laboratory assay techniques. Responsibilities include, but are not limited to: * Performing routing assays to support chemistry efforts. * Execution of new biochemical and cell-based assays. * Practical laboratory work, managing day to day tasks and ensuring timely delivery of high-quality results. * Utilizing liquid handling systems and laboratory robotics to implement in vitro * Contribute during lab meetings and assist in the analysis and reporting of experimental data to project teams. Qualifications: * Bachelor's/Master's degree with 0-3 years of industry experience in molecular biology/biochemistry or related field. * Practical experience with common cell biology techniques such as mammalian cell culture, transient and/or stable transfection. * Proven laboratory skills coupled with an aptitude for critical thinking and exceptional attention to detail. * Candidates familiar with at least some of the following protocols will be regarded favorably; ELISA, Fluorescence Polarization, Luminescence, Absorbance, FRET and AlphaLISA® as well as enzyme and inhibitor characterization. * Familiarity with liquid handling systems and laboratory automation would be an advantage.

Launch your career - Create your profile now!

Create your Profile