Senior Consultant, Discovery & Translational Science

March 13

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Clarivate

Clarivate is a global company that connects people and organizations to trusted intelligence across various fields. They offer a range of solutions in analytics, workflow software, and expert services, particularly focusing on academia, government, life sciences, healthcare, and intellectual property. Utilizing advanced data sets, artificial intelligence, and human expertise, Clarivate helps businesses and researchers drive innovation, manage intellectual property, and improve decision-making. Their well-known products include Web of Science, Cortellis, and Derwent Innovation.

Scientific and academic research, patent analytics and regulatory standards, pharmaceutical and biotech intelligence, trademark protection, domain brand protection, intellectual property management. β€’ Life science research β€’ Patent analytics β€’ Regulatory Standards β€’ Technology

πŸ“‹ Description

β€’ Conduct data analysis and synthesis to support project objectives using established methods. β€’ Assist in designing and executing research methodologies to address business challenges. β€’ Collaborate with consulting teams in problem-solving and the development of innovative solutions. β€’ Contribute to the development of client presentations and reports by organizing data and visualizing findings. β€’ Engage in customer interactions and meetings to understand customer needs and gather feedback. β€’ Support proposal development by contributing to specific elements of the proposal. β€’ Collaborate with senior consultants on project execution, coordinating tasks and managing timelines.

🎯 Requirements

β€’ PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science, or a related field. β€’ A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting. β€’ Experience working in a customer-oriented consulting environment. β€’ Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics β€’ It would be great if you also had experience with R Shiny development. β€’ Familiar with clinical trial data standardization according to CDISC (SDTM, ADaM). β€’ Familiar with data management, processing, and integration of experimental assay data from various sources.

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