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Ph. D. in organic chemistry or medicinal chemistry with a minimum of 15 years of drug discovery research experience in a biopharmaceutical setting. Accomplished drug discovery scientist (director level) to lead small molecule medicinal chemistry group within U.S. Integrated Drug Discovery Medicinal Chemistry Department.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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As a Principal Scientist, you will play a pivotal role in supporting Immuno-Oncology projects through the drug discovery process, leading novel drug discovery programs from inception, and delivering datasets that directly impact pipeline programs.
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As a Scientist / Senior Scientist, you will work with our Discovery Services team to support the discovery of antibody-based therapeutics. You have a Ph. D degree in a relevant scientific field (e.g. Biochemistry, Biotechnology, Biology), and have experience with antibody discovery and development.
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This applied 3-year research program is set to change the way we approach drug discovery, offering fellows a unique chance to train in data science and AI (DS&AI) for biomedical research. Drug hunting is a team sport, and you will gain experience in DS&AI for drug discovery as part of a multi-disciplinary team in Biomedical Research.
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Our data science team is an integrated team ranging from computational biology, bioinformatics, computational drug discovery, research informatics and data engineering. This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Expertise and hands-on experience with protein purification methods used in discovery and process development. Execute hands-on lab work to express, purify, and characterize novel protein therapeutics to support antibody screening and lead optimization in discovery programs.
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The ElevateBio ecosystem combines multiple R&D technology platforms – including Life Edit, a next-generation, full-spectrum gene editing platform; comprehensive cell engineering technologies; and an expanded viral and non-viral therapeutic delivery platform – with BaseCamp®, its end-to-end genetic medicine cGMP manufacturing and process development business, to accelerate the discovery and development of advanced therapeutics.
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Experience with cell and gene therapy test methodologies (qPCR/ddPCR, Flow Cytometry, ELISA, and cell-based assays). In this role, you will be responsible for analytical testing (cell and molecular biology assays) as well as excursion/deviation investigations and reports in support of ElevateBio’s gene and cell therapy programs.
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Embody Dana-Farber’s Core Values: Impact; Excellence; Compassion & Respect; Discovery; and Equity and Inclusion every day. Philanthropy raised through The Dana-Farber Campaign is focused on accelerating the Institute’s strategic priorities by supporting revolutionary science, extraordinary care, exceptional expertise, and essential opportunities—helping us prevent, treat, and Defy Cancer.
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We are currently looking for a highly motivated organic chemist to join our Encoded Technologies team in Cambridge, MA. GSK is a leader in DNencoded library technology, enabling exploration of novel target biology and identification of qualified hits for drug discovery programs.
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Design and implement data cataloging and metadata management solutions to enhance data discovery, lineage tracking, and governance, utilizing tools like Apache Atlas or Collibra. You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence.
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Generation Bio is seeking an energetic and highly motivated Senior Associate Scientist to join the Immunology team within the Discovery Research group. Execute and analyze established high throughput plate-based cellular assays using techniques such as flow cytometry and ELISA.
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You will deploy cutting edge AI/ML models in cloud compute environments that will inform on compound selection for drug discovery and develop high-throughput analysis pipelines that integrate multiple bio-/chemo-informatics software tools.
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We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development.
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discovery job in Lexington, MA
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