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The successful candidate will apply state-of-the-art synthetic biology and cell engineering techniques to create research cell lines for recombinant protein production to support drug candidate screening in vitro and in vivo across Gilead’s therapeutic areas including Virology, Oncology, and Inflammation.
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More About Us: We are a precision medicine company that has a translational drug discovery platform focused on identifying therapeutic options for relapsed and refractory cancer patients.
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We are seeking a highly motivated and creative Associate Scientist to join the Discovery Sciences and Technologies (DST) Department and contribute to our biochemistry and cell biology capabilities to enable the identification and nomination of small molecule and biologics drug candidates across all therapeutic areas at Gilead.
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Adverum’s core capabilities include clinical development, novel vector discovery and in-house manufacturing expertise, specifically in scalable process development, assay development, and current Good Manufacturing Practices quality control.
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Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for our first Data Scientist to join our Product team to establish a data-driven product development culture, define core metrics across our drug discovery software platform and drug program progress and efficiency, build our technical foundation for data tracking and analysis, and establish dashboards and analysis for leadership and program teams.
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Responsible for effectively collaborating with other discovery and translational biology colleagues as well as colleagues in supportive line functions (including discovery biotherapeutics, small molecule drug discovery, translational medicine, early clinical development and project leadership) to advance preclinical development of therapeutic candidates to early clinical development.
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More About Us Notable Labs is a precision medicine company that has a translational drug discovery platform focused on identifying therapeutic options for relapsed and refractory cancer patients.
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Design, oversee and/or execute cell biology experiments, applying advanced molecular techniques and assays in a therapeutic drug discovery workflow. Contribute to the discovery and early preclinical research plans, including defining key milestones and decision points and timelines, identifying risks and mitigation strategies towards later development and IND filings.
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Juvena Therapeutics has secured venture capital, NIH, and CIRM funding to develop our top lead to a clinical-stage investigational new drug, to build our stem cell secretome database, and to leverage our discovery platform to rapidly identify and validate novel protein-based drug candidates for multiple rare and chronic diseases across metabolic and pulmonary therapeutic areas.
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Domain knowledge around drug discovery, antibody engineering, protein science, or related biology. This role is targeted at someone who is ready to dive deep into our computational engine and enhance its capabilities to meet the evolving demands of our scientific programs as they produce, characterize, and optimize safer therapeutic antibodies.
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Oversee the design and execution disease-relevant assays across diverse therapeutic applications internally and through CRO partners. Prior working knowledge of Molecular Biology Assays (e.g. Western blot, qPCR, NGS etc.
$145,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Play a key role in the design, development, and maintenance of software solutions that support the tactical and strategic goals of our therapeutic programs. Typescript, React, Material-UI, Vega.
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As a subject-matter expert, contribute to the scientific assessment of external opportunities in collaboration with business development (BD) and Integrative Sciences teams, including asset level diligence and the evaluation of novel technologies or platforms that complement our drug discovery and translational capabilities.
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