Senior Scientist – Translational Safety, Risk Sciences

🕒 Junho 9

🏄 California, Massachusetts – Remoto

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $129.228 - $174.839 / ano

⏰ Tempo Integral

🟠 Sênior

🌎 Tradutor(a) / Intérprete

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Amgen

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1980

🏥 Saúde

🧬 Biotecnologia

💊 Farmacêutico

💰 $28.500.000.000 Post-IPO Debt em 2022-12

Healthcare • Biotechnology • Pharmaceuticals

A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.

Descrição

• Lead efforts to develop and integrate modern data infrastructure, analytics platforms, and visualization capabilities to support New Approach Methodologies (NAMs) and broader translational safety initiatives across the organization. • Design, develop, and maintain scalable data infrastructure and visualization solutions supporting NAMs initiatives and other TSRS workflows • Develop and implement databases and registries using tools such as Databricks • Collaborate with cross-functional partners, including scientific, data engineering, IT, and AI/ML teams to harmonize and standardize data structures across nonclinical and clinical safety domains. • Define metadata standards and ontology mappings for model systems, assays, samples, readouts, validation status, and context of use • Support data governance, data quality, and reproducibility best practices across TSRS platforms • Conceptualize, design, and build interactive dashboards and visualizations using platforms such as Spotfire to enable AI-supported and data-driven decision-making • Translate complex scientific and technical concepts into clear visualizations and actionable insights for diverse stakeholders • Develop pipelines and workflows to integrate NAMs data and other internal data with enterprise datasets, such as clinical data, via AI/ML • Apply AI/ML approaches to support translational safety analyses, predictive modeling, and emerging NAMs applications

🎯 Requisitos

• Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] OR Master’s degree and 3 years of Scientific and/or Data Science experience OR Bachelor’s degree and 5 years of Scientific and/or Data Science experience • Experience developing data infrastructure and analytics solutions in Databricks environments • Knowledge of relational databases, data engineering workflows, and cloud-based analytics platforms • Strong expertise in Spotfire dashboard development and data visualization • Experience working with SharePoint-based scientific collaboration and data environments and integrating data across multiple platforms such as Benchling, SharePoint, Databricks, Spotfire, or other LIMS or ELN systems • Experience integrating heterogeneous datasets, including clinical datasets and other structured or unstructured internal and external/public datasets • Experience defining data models for complex biological entities such as NAMs and advanced model systems, including disease-relevant models, assays, and associated datasets • Strong understanding of FAIR data principles, metadata standards, controlled vocabularies, ontologies, and data governance • Familiarity with NAMs, complex in vitro models, translational in vitro/in silico platforms, toxicology, and/or translational safety approaches • Understanding of target discovery, translational biology, nonclinical safety, drug discovery, and/or drug development processes • Strong communication and collaboration skills with the ability to work effectively across multidisciplinary teams and actively identify opportunities to link people, models, datasets, tools, and decisions • Demonstrated ability to manage multiple priorities in a fast-paced scientific environment.

🏖️ Benefícios

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • group medical, dental and vision coverage • life and disability insurance • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.