Senior Scientist – Translational Safety, Risk Sciences

Amgen

Senior Scientist leading data infrastructure and analytics for translational safety initiatives at Amgen. Collaborating across teams to enhance decision-making in biotech research.

Posted 6/9/2026full-timeRemote • California, Massachusetts • 🇺🇸 United StatesSenior💰 $129,228 - $174,839 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data infrastructure developmentanalytics solutionsdatabasesdata engineering workflowsdata visualizationAI/ML approachespredictive modelingmetadata standardsdata governancedata quality

Soft Skills

communication skillscollaboration skillsability to manage multiple prioritiesability to work across multidisciplinary teamstranslating complex concepts

Certifications

PhDPharmDMD