Senior Scientist Translational Safety & Risk Sciences (TSRS)

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds 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 youll 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 youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Lets do this. Lets change the this vital role you will lead efforts to develop and integrate modern data infrastructure analytics platforms and visualization capabilitiestosupport New Approach Methodologies(NAMs) and broader translational safety initiatives across the organization. This role sits at the intersection ofdiscovery biologynonclinical safetyNAMsand translational medicine requiring strong technicalexpertisecombined with scientific curiosity andthe ability to collaboratecross-functionally.

You will partner closely with scientistsacross Amgenand data engineering groups todevelop ascalable connected and insight-driven data ecosystemsfor NAMs upon which AI/ML can be appliedthatwillaccelerate decision-making acrossAmgen this position sits within TSRS theposition will have a Research-wide reach.

Key Responsibilities:

• Design develop andmaintainscalable data infrastructure and visualization solutions supporting NAMs initiativesand other TSRS workflows

• Develop and implement databasesand registries using tools such as Databricks

• Collaborate with cross-functional partners including scientific data engineering IT and AI/ML teamsto 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 dashboardsandvisualizationsusing platforms such as Spotfireto enableAI-supported anddata-drivendecision-making

• Translate complex scientific and technical concepts into clear visualizations and actionable insights for diverse stakeholders

• Develop pipelines and workflows tointegrateNAMs dataand other internaldata with enterprise datasetssuch 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.

Basic Qualifications:

Doctorate degree PhD

OR

PharmD

OR

MD and relevant post-doc where applicable

OR

Masters degree and 3 years of Scientific and/or Data Science experience

OR

Bachelors degree and 5 years of Scientific and/or Data Science experience

Preferred Qualifications:

• Experience developing data infrastructure and analytics solutions in Databricks environments
• Knowledge of relational databases data engineering workflows and cloud-based analytics platforms
• Strongexpertisein Spotfire dashboard development and data visualization
• Experience working with SharePoint-based scientific collaboration and data environmentsand integrating data across multiple platforms such asBenchling SharePoint Databricks Spotfire or other LIMS or ELN systems
• Experience integrating heterogeneous datasets includingclinical datasetsand otherstructuredorunstructuredinternal and external/publicdatasets
• Experience defining data models for complex biological entities such as NAMs and advanced model systems includingdisease-relevantmodels assays and associated datasets
• Strong understanding of FAIR data principles metadata standards controlled vocabularies ontologies and data governance
• Familiarity with NAMscomplex in vitro models translational in vitro/in silico platformstoxicologyand/or translational safety approaches
• Understanding oftarget discoverytranslational biologynonclinical safety drug discovery and/or drug development processes
• Strong communicationand collaboration skills with the ability to work effectively across multidisciplinary teamsand activelyidentifyopportunities 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 well support your journey every step of the way.

In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of health and welfare plans for staff and eligible dependents financial plans with opportunities to save towards retirement or other goals work/life balance and career development opportunities that may include:

• 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.

In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of diverse ethical committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Salary Range