Senior Science Writer

October 15

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Description

• Passionate about precision medicine and advancing the healthcare industry? • Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. • Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. • Seeking an independent and creative Senior Science Writer to join our Scientific Communications team to support cross-functional publication and internal R&D communication efforts. • Lead internal R&D and scientific communication initiatives that support information sharing and publication activities (i.e., newsletters, peer-reviewed manuscripts, conference abstract/presentation submissions). • Opportunity to work on a diverse set of projects across disease areas (e.g., oncology, cardiology, neurology, etc.) and collaborate with interdisciplinary teams of research scientists, medical professionals, medical science or scientific affairs liaisons, and/or commercial partners to communicate important research insights.

Requirements

• Advanced degree in biomedical/life sciences or quantitative field with relevant scientific/clinical background. • At least 2 years of experience with scientific/medical writing in an industry setting. • Exceptional verbal communication, scientific writing, organization, and editing skills. • Experience writing and submitting scientific manuscripts, abstracts, and other technical documents to conferences and journals, along with a track record of success. • Ability to interpret, summarize, and translate primary scientific literature for a range of audiences. • Intermediate or advanced knowledge in one of these areas: real-world data/evidence, human genomics, clinical research concepts, computational biology (machine learning, statistics, algorithms), and/or oncology. • Familiarity with GPP and ICMJE guidelines. • Experience working on and/or managing diverse research projects to completion. • Experience with Adobe Illustrator, Acrobat, Microsoft, and Google Suite. • Experience with/knowledge of generative AI, health economics and outcomes research (HEOR), and/or clinical development. • Experience with/knowledge of genomic data types and archiving standards, as well as data and code reproducibility best practices.

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