Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
A key contributor in the Screening group within the Center for the Development of Therapeutics, optimizes and implements small-molecule screening projects producing high quality data relating to the disease biology interests of the Broad Institute. Plays a role optimizing assay automation, increasing throughput and data quality. Works as part of an integrated team to guide projects through assay development, HTS, secondary assays and small molecule probe optimization.
- Supports projects in a matrix team environment.
- Working with the project lead, adapts assay to automation and implements robust diverse phenotypic (including high-content) and target-based biochemical high throughput screens using a modular, highly integrated screening production platform.
- Implements 1536-well format for both cell-based and biochemical assays, as appropriate.
- Applies HTS performance criteria to determine statistical significance of the data and identify hits for confirmation by retesting at dose.
- Optimizes and implements some counter screens and secondary assays using automated screening systems for assessment of mechanism and selectivity issues.
- Participates in new technology evaluation, development and implementation to keep production platform current as screening technology advances.
- Reports project results to project team, prepares results for presentation at meetings, and participates in grant and manuscript writing.
- BS or MS in cell biology or related field.
- A minimum of 5 years of drug discovery experience (6 years for BS) in a high throughput environment
- Must have experience with mammalian cell culture (e.g. cell lines, primary cells, iPS derived cells).
- Hands-on experience with assay development and automation, particularly cell-based is required.
- Must have experience with assay validation and fully automated high throughput screening.
- Experience with robotics, standard assay detection methods, electronic notebook (ELN) and high volume data is a must.
- Experience with 1536-well format is a plus.
- Must have the ability to analyze screening data, interpret results and present to departmental leadership and external collaborators
- Must have the ability to interact with an interdisciplinary group including engineers, data analysts, laboratory biologists, computer scientists and chemists.
- Excellent oral, written, presentation, interpersonal and organizational skills required, together with a “can-do” attitude and enthusiasm for working in a matrix team environment.
The Broad Institute will not offer visa sponsorship for this opportunity.
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