Director- Data Sciences
US - California - Thousand Oaks - Field/Remote, United States
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
ScientificJob Description
Accountabilities
Join Amgen’s Mission of Serving Patients
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. 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.
What you will do
As a Director of Data Sciences, You will be responsible for:
Responsibilities
Architect the enterprise AI-enabled forecasting vision—design and continuously refine a roadmap that spans operations, finance, supply-chain, and commercial planning.
Prototype and productionize advanced models using probabilistic time-series, deep learning, causal inference, reinforcement learning, agent-based simulation, and generative/agentic techniques.
Lead and scale a high-caliber data-science team—recruit, mentor, and establish engineering standards while remaining personally hands-on during early build-out.
Implement robust ML Ops & data pipelines (CI/CD, version control, monitoring, automated retraining) on modern cloud platforms and distributed compute environments.
Partner cross-functionally with Responsible AI, security, compliance, privacy, and domain SMEs to embed governance, fairness, and privacy-by-design into every model.
Translate insights into action—deliver clear storytelling, visualizations, and decision frameworks that drive executive alignment and measurable business impact.
Continuously scan the frontier of AI/ML research, vendor tooling, and open-source innovation to keep the organization at the cutting edge.
Accountabilities
Forecast accuracy & reliability—demonstrated uplift vs. baselines and transparent communication of uncertainty.
On-time delivery of forecasting products and scenario analyses that inform strategic and operational decisions.
Compliance with internal model-risk governance and applicable biotech regulations, with documented audit trails and controls.
Scalable, maintainable technical architecture that supports future growth in data volume, use cases, and team size.
Talent development & retention, creating a learning culture and clear career pathways for data scientists and engineers.
Comprehensive performance monitoring—KPI dashboards, model drift detection, and continuous-improvement cycles.
Stakeholder satisfaction across business units, evidenced by adoption rates and feedback scores.
Qualifications
Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 5 years of [Job Code’s Field and/or Sub-Discipline] experience
OR
Master’s degree and 8 years of [Job Code’s Field and/or Sub-Discipline] experience
OR
Bachelor’s degree and 10 years of [Job Code’s Field and/or Sub-Discipline] experience
Competencies
Strategic Systems Thinking —connects complex data ecosystems to enterprise value creation.
Technical Curiosity & Rigor —relentless pursuit of innovative methods and high engineering standards.
Inclusive, Empowering Leadership —builds diverse, psychologically safe teams that outperform.
Influence & Storytelling —distills sophisticated analytics into compelling narratives and pragmatic recommendations.
Change Agility —navigates ambiguity, pivots quickly, and guides partners through AI-driven transformation.
Integrity & Responsible AI Mentality —champions ethical, transparent, and privacy-preserving model development.
Results Orientation —holds self and team accountable for delivering measurable impact on critical business objectives.
What you can expect of us
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.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
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, including remote and hybrid work arrangements, where possible
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
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.
Application deadline
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.
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
210,914.00 USD - 268,718.00 USDTags: Architecture Causal inference CI/CD Data pipelines Deep Learning Engineering Finance Machine Learning ML models Open Source PhD Pipelines Privacy Reinforcement Learning Research Responsible AI Security
Perks/benefits: Career development Competitive pay Equity / stock options Flex vacation Health care Insurance Salary bonus Startup environment
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