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You will have a strong interest in specializing in Biopharma topics in relation to Business Strategy, such as (but not limited to) Company’s products portfolio analysis, pricing and access trends, generic erosion, Biopharma market landscaping, Launch strategies for new drugs.
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This team of computational imaging scientists is responsible for advancing Bristol-Myers Squibb's industry-leading pipeline through the strategic application of cutting-edge tissue-based image analysis and bioinformatics approaches.
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Familiarity with mass spectrometry data analysis software platforms (e.g. Xcalibur, BioPharma Finder, Protein Metrics, and Skyline). Familiarity with mass spectrometry data analysis software platforms (e.g. Xcalibur, BioPharma Finder, Protein Metrics, and Skyline.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Keywords: Quality Control, QC lab, Chemist, Lab tech, contract, consultant, temporary, FDA, BioPharma. Additional duties to support the laboratory may include logging area and incubator temperatures, sampling of raw materials, releasing packaging materials, environmental sampling of classified areas, dimensional analysis, preparation of media, and sampling and testing water.
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As a Barclays Equity Research Analyst, Biopharmaceuticals (Biopharma), you will be reviewing business and trade publications, annual reports, financial filings, and other sources to gather, synthesize and interpret data on companies followed by the business.
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Assume territorial and account management responsibilities for the Southeast region representing both assigned biopharma and biotech accounts as well as develop regional prospect pipelines. Experience in R&D, process development and manufacturing within the biopharma products/industry.
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Job Summary Quintara Discovery (QDI) is a dynamic and growing biopharma CRO with a proven track record of working with leading biopharmaceutical companies, emerging start-up companies, universities and leading research institutes.
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We are currently seeking a Staff Scientist who will be responsible for new product development and scientific publications to provide differentiated analytical solutions for biopharma industry, in the areas of mass spectrometry, liquid chromatography, and sample preparation.
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Join FDB and help create the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. Residual Analysis and/or Surfactant Analysis Osmolality testing Western Blot.
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GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive.
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B.S. in Analytical Chemistry, Biochemistry, Chemical Engineering, Biophysics or related scientific discipline with a minimum of 5 years of direct CMC analytical development experience in biotech/pharma or M.S. with a minimum of 3 years of direct CMC analytical development experience in biotech/biopharma or Ph. D. with 2 years of directly relevant experience.
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Top biopharma sponsors, clinical research organizations, healthcare providers and institutions rely on ConcertAI’s evidence-generation and digital transformation capabilities to advance precision medicine and medical innovation.
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At least 2 years of experience in one or more of the following areas biopharma R&D, antibody discovery, protein engineering, protein expression and purification, cell line development, bioprocess development, CMC, or biopharma production with bioanalytic, or lab automation.
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Contribute to discussions with internal and external stakeholders in the design, analysis, and interpretation of clinical real world evidence studies. Proficiency with statistical modeling methods, including time-to-event analysis (TTE), and methodology expertise with observational datasets.
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