Clinical Data Manager

🕒 Junho 2

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

RefinedScience

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🧬 Biotecnologia

💊 Farmacêutico

🤖 Inteligência Artificial

Biotechnology • Pharmaceuticals • Artificial Intelligence

A RefinedScience é uma empresa que utiliza insights profundos baseados em dados, habilitados por IA, para transformar o desenvolvimento de medicamentos de precisão. Ao combinar dados de alta fidelidade com ciência de ponta e expertise de classe mundial, a RefinedScience pretende informar práticas mais inteligentes de descoberta e desenvolvimento de medicamentos. Sua plataforma processa dados clínicos e biológicos para gerar insights transformadores que podem identificar e validar novos alvos de drogas, projetar ensaios clínicos mais inteligentes e reviver candidatos a medicamentos em estágio clínico estagnados. Com foco em áreas com grandes necessidades médicas não atendidas, eles utilizam tecnologias de dados avançadas, incluindo omics de célula única, e colaboram com especialistas líderes mundiais para gerar valor em todas as etapas da descoberta e desenvolvimento de medicamentos. A RefinedScience aborda os desafios dos processos de desenvolvimento de medicamentos lentos, caros e arriscados, com o objetivo de aumentar a probabilidade de sucesso e reduzir o tempo e custos envolvidos.

Descrição

• Collaborate in the development and maintenance of documentation of data definitions and abstraction procedures • Efficiently identify and abstract pathology, treatment and other clinical data from medical records that is thorough and accurate • Maintain REDCap database for disease area(s) • Think critically to identify potential problems affecting the abstraction process for improvement and quality control • Perform quality review on work completed by other data abstractors • Review data quality dashboards and make corrections • Address data quality questions from a multidisciplinary team of data scientists, bioinformaticians, and clinical scientists • Manage process documentation • Translation of healthcare and clinical concepts for data engineering work • Coordination with clinicians for clarification on abstraction procedures and clinical concepts • Support the multidisciplinary team in automated abstraction activities

🎯 Requisitos

• Bachelor’s degree or higher in a relevant field • 2+ years of data abstraction experience including knowledge of basic medical terminology and the use of electronic medical records • Organized with great attention to detail and a commitment to accuracy • Willing to learn and ask questions • Possess high levels of curiosity, initiative, and self-motivation • Flexible to adapt in a rapidly growing startup environment • Manage time well and be able to prioritize • Team player who is collaborative and can work in an independent environment • Handle problems in a solutions-oriented manner • Commitment to ensuring regulatory compliance and confidentiality • Prior experience in a healthcare or research setting with oncology or blood cancers (Nice to have) • Prior experience with analysis of datasets, biostatistics, or SQL (Nice to have) • Familiarity with research data capture systems (e.g., REDCap or other EDC platforms) (Nice to have) • Familiarity with AI tools such as Claude and Gemini (Nice to have)

🏖️ Benefícios

• Medical, Dental and Vision insurance • Life, AD&D, Short-term and Long-term Disability Insurance • HSA Spending Accounts • 22 Vacation days • 10 Paid Holidays and Sick Time (120 hours per year) • 401(K) Plan