Principal Data Scientist, Causal Modeling

4 days ago

Washington, Washington, D.C., United States Amgen Full time

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

Principal Data Scientist, Causal Modeling

Live

What you will do

Let's do this. Let's change the world. In this vital role you will serve as Causal Modeling resident expert and power our ambition to evolve our predictive modeling paradigm from correlative models augmented with post-hoc explanations to causal models featuring integrated interpretability and support for interventional, prescriptive and counterfactual analyses. Candidates should possess: 1) direct and rich experience developing causal models, using such models to deliver prescriptive and actionable insights, and ideally turning models into actively used products, 2) substantial theoretical knowledge of the field and ability to translate said knowledge into practical know-how, and 3) familiarity with the biopharma or healthcare industries. Additional desirable capabilities include machine learning model design and development (descriptive/predictive/generative), mechanistic mathematical modeling, and ability to supervise and mentor team members. Culturally, a collaborative approach, a strong engagement and an overt sense of ownership are paramount to success.

Responsibilities

  • Be a technical authority, hands-on leader, and mentor in the design, development, and utilization of causal models, including causal discovery, causal inference, and causal reasoning.
  • Combine understanding of the biopharmaceutical/healthcare and AI/data/technology landscapes to fuel innovation and foster initiatives demonstrating the differentiating impact of causal models.
  • Translate scientific/clinical/medical/business problems into analytical ones and map out solutions, delivery, and impact.
  • Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
  • Be a technical guide and career development mentor to junior staff in data science or similar roles in a formal or matrixed fashion.
  • Help further the team, including by contributing technical and leadership methodologies, and staying on top of developments in industry and academia.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is a problem solver with the following qualifications:

Basic Qualifications:

Doctorate degree and 2 years of Data Science experience

Or

Master's degree and 4 years of Data Science experience

Or

Bachelor's degree and 6 years of Data Science experience

Or

Associate's degree and 10 years of Data Science experience

Or

High school diploma / GED and 12 years of Data Science experience

Preferred Qualifications:

  • Graduate degree (PhD or MS) degree in a quantitative or life-science subject area.
  • 5+ years of experience and hands-on proficiency in the design, development, and tangible use of causal models.
  • Expert understanding and interpretation of causal diagrams and directed acyclic graphs.
  • Demonstrable understanding of the benefits and challenges of crafting causal structures through algorithmic causal discovery vs. bringing to bear human knowledge, and strategies for adopting one approach or another or a combination of both.
  • Notable experience in causal inference and reasoning.
  • Biopharma experience in roles that bridge data science with research, clinical development, manufacturing process development, or medical affairs.
  • 5+ years of experience and hands-on proficiency in the design, development, and tangible use of causal models for biopharma research or clinical applications, with biomedical and healthcare data, e.g., omics, biomarkers, health records, insurance records, etc.
  • Experience developing and applying causal models in the presence of aspects challenging to such models at scale, including but not limited to outcome imbalance, feedback loops and misaligned multidimensional time series.
  • Experience leveraging generative AI for human-driven or algorithmic causal discovery.
  • Expertise in statistics and statistical modeling.
  • Portfolio of projects, products or publications demonstrating eminence in machine learning, statistical or mathematical model design, development, and utilization, particularly in the causal modeling area.
  • Experience fostering collaboration across disciplinary boundaries.
  • People leadership experience and skills managing organizational changes while driving successful execution.
  • Excellent verbal and communication skills.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.

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.

Amgen offers a Total Rewards Plan comprising 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 including:

  • 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 and bi-annual company-wide shutdowns
  • Flexible work models, including remote work arrangements, where possible

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

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.

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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.


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