Senior Scientist - Translational Safety & Risk Sciences (TSRS)

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Let's do this. Let's change the world. In this vital role you will 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.

This role sits at the intersection of discovery biology, nonclinical safety, NAMs, and translational medicine, requiring strong technical expertise combined with scientific curiosity and the ability to collaborate cross-functionally.

You will partner closely with scientists across Amgen and data engineering groups to develop a scalable, connected, and insight-driven data ecosystems for NAMs, upon which AI/ML can be applied, that will accelerate decision-making across Amgen Research. Although this position sits within TSRS, the position will have a Research-wide reach.

- 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

We are all different, yet we all use our unique contributions to serve patients. The Senior Scientist we seek is a researcher with these qualifications.

Master's degree and 3 years of Scientific and/or Data Science experience

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

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

- 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, and 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.

Refer to the Work Location Type in the job posting to see if this applies.

Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Salary Range 129,228.90USD -174,839.10 USD