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We are seeking a highly motivated and skilled candidate to join Novartis Biomedical Research as a Discovery Postdoctoral Fellow within the Discovery Sciences (DSc) department to work on expanding the scope of covalent drug discovery.
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You will be a key team member responsible for utilizing NextMAP TM , a NextRNA proprietary computation engine that identifies driving disease lncRNAs∯*∯ You will have an opportunity to work with a diverse team of bioinformaticians, biochemist, chemists, and biologist to support drug discovery programs for next wave of RNA therapeutics.
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With a combination-focused pipeline that exploits the power of six scientific platforms (Immuno-Oncology, Tumor Drivers and Resistance, DNA Damage Response, Antibody-drug Conjugates, Cell Therapy and Epigenetics) to help address unmet clinical needs in a host of hematological cancers, we are motivated by a dedication to the scientific discovery and collaboration that will one day help eliminate cancer as a cause of death.
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Experience preferable in pharmaceutical R&D setting with knowledge of the drug discovery process and the practice of laboratory animal medicine. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.
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The Vice President of Business Development will engage with pharmaceutical companies and hospitals to commercialize Pear Bio’s precision medicine platform and drug discovery pipeline. Our patient data, biobank and biomarker technology have led to the creation of an in-house drug discovery pipeline for cancers with high unmet need.
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The position will provide a unique opportunity to play a critical role in the advancement of FL89’s computational discovery and preclinical platforms, through the development of disruptive approaches for biotherapeutic drug discovery.
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As an Information Architect , you will deliver innovative data management, integration, and streaming platforms to underpin cutting-edge drug discovery processes. Acting as a technical expert: deliver, maintain, and extend smart innovative data engineering solutions for a wide variety of drug discovery data pipelines – enabling UCB to exploit complex data (internal and public.
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Collaborate with a world class, multidisciplinary team of drug discovery scientists from medicinal and platform chemistry, DEL, in vitro pharmacology, biology, and data science to advance multiple small molecule programs as new clinical candidates for the treatment of several diseases.
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Experience: Extensive leadership experience in computational chemistry roles, with a track record of successfully implementing computational strategies and driving scientific impact in drug discovery and development.
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The scientist will evaluate, develop, and optimize computational methods to analyze next-generation sequencing datasets in support of our drug discovery and development programs, and will produce robust bioinformatics pipelines that can be operated on high-performance computing clusters and in the cloud.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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The AI & Computational Science (AICS) team at Novartis Biomedical Research is dedicated to revolutionizing drug discovery through AI. Our mission is to accelerate the development of transformative medicines for patients worldwide.
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Leveraging their cutting edge chemical biology platform and combining this with computational tools and machine learning, they are accelerating molecular glue discovery across oncology and immunology indications.
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Develop and implement an integrated medicinal chemistry strategy, working in concert with partners in Data Science, De Novo Discovery, Molecular and Cellular Biology, DMPK and Pharmacology to reach hit-to-lead and lead optimization goals.
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A successful candidate will have had experience with preclinical drug discovery including immunoassays, flow cytometry, cell cytotoxicity assays, and ex vivo cell-based assays. Must be able to work independently and have an understanding of the preclinical drug discovery process.
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drug discovery jobs in Cambridge, MA
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