R&d bioinformatician lead

01 ago - Italia
Chiesi Farmaceutici

Department: Global R&D; Strategy, Portfolio and Digital Development Business Area: R&D;, Pharmacovigilance & Regulatory Affairs Job Type: Direct Employee Contract Type: Permanent Location: Parma, IT About Chiesi Chiesi is an international research-focused biopharmaceutical group with 90 years' experience, operating in more than 30 countries, with its Headquarter in Parma, Italy. More than 8,000 employees across the group are united by a singular purpose: promoting a healthier world for our people, patients, and the planet. This is what drives us as we research, develop, and market innovative drugs across our main therapeutic areas. Chiesi Research & Development Our R&D; team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D; Strategy, Portfolio & Digital Development.



Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada) and Shanghai (China). This is what you will do The R&D; Bioinformatician Lead drives and executes hands‐on bioinformatics analyses in support of target identification and translational research across programs. The role includes full methodological ownership, with responsibility for shaping and applying advanced bioinformatics strategies aligned with functional plans across therapeutic areas. The R&D; Bioinformatician Lead collaborates in the definition of bioinformatics activities and is accountable for executing those agreed with the functional Lead, in accordance with the organic functional plans. Responsibilities include delivering analyses, refining methodologies, and ensuring rigor in all data‐d

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