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A law firm is seeking a Senior FDA Drug/Biologics Regulation Counsel to join their team in Washington, DC. The ideal candidate will provide comprehensive legal counsel on FDA regulation matters pertaining to drugs, biologics, cellular, and gene therapy products.
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Spearhead the development and strategy of our client’s computational platform, integrating novel computational techniques and GPCR structural biology to aid drug discovery and development. Our client is pioneering revolutionary patient treatments through a robust structure-based and computational drug discovery approach.
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Our group is a bold, agile, diverse collective of biological, computational, drug discovery, and machine learning scientists deeply focused on the singular goal of bringing new therapeutics to patients at an accelerated pace.
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The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
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Requirements 5+ years of life sciences industry experience, with the majority spent in Drug Safety, Pharmacovigilance, Healthcare, or adjacent Safety Industry. Help us transform and bring innovation to Drug Safety and Pharmacovigilance.
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Work closely with a cross disciplinary team of data scientists, structural biologist, and computational biologists, imaging experts, and leverages cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with the drug discovery needs and strategy.
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A minimum of 10 years of related pharmaceutical or biotechnology industry experience in clinical pharmacology, population PK, PK-PD modeling, DMPK, and/or pharmacometrics and a proven track record advancing programs through the drug development process, from discovery through IND to registration, informing data driven decisions on dose and schedule, making tough judgement calls where needed.
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Freeport-McMoRan promotes a drug/alcohol-free work environment using mandatory pre-employment drug testing and on-going drug and alcohol testing, as allowed by applicable laws. Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing.
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Keywords: Immunology, Vivo, Vitro, Flow Cytometry, Western blot analyses, ELISAs, quantitative PCR, IND, Drug Discovery, Biotechnology, MSD, siRNA, Proliferation Assays. Carry out studies to advance drug discovery programs including assessment of early drug leads, assay design, and mechanistic studies.
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MD, PhD, DVM, PharmD, MBA or equivalent advanced degree of relevance, in the drug development process. Uses an understanding of disease biology, the drug development process (particularly cross-functional connectivity), and relevant late-stage challenges (e.g., trends in disease area therapeutic advances, and evolving regulatory, patient advocacy and market access environments) to create a vision for each asset, then design and execute effective development programs in support of the overall R&D portfolio goals.
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As a Co-Op, you will implement your experience to accelerate drug discovery programs towards designing better treatments for patients. Boehringer Ingelheim is currently seeking a talented and innovative Co-Op to join our Immunology & Respiratory Drug Concept Discovery department located at our Ridgefield, CT facility.
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Curtis spent 25 years in the management of drug discovery projects at Regeneron, Millennium, Elixir and Cubist Pharmaceuticals. Metrion Biosciences, a contract research and drug discovery company, has announced the appointment of Dr Rory Curtis as VP of US Commercial Operations.
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Areas of expertise include genomics, epigenetics, drug resistance, stem cell biology, drug discovery, diagnostics and biomarker development, and pharmacology. The laboratory investigates biomarkers associated with clinical outcomes and drug resistance in multiple myeloma, a hematological malignancy.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery. Bridge between experimental and groundbreaking digital technologies, expertise in machine learning and artificial intelligence (AI) as applied to drug discovery.
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Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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