Assoc. Director - Human Data & Computational Biology

** 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. 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.

** Position:
Assoc. Director - Human Data & Computational Biology*
* ** What you will do*
* Let's do this. Let's change the world. In this vital role you will help establish and lead the Human Data & Computational Biology capability within the Rare Disease Research Team. You will serve as a scientific partner across multiple disease areas, integrating human genetics, multi-omics, patient-derived data, and computational approaches to identify, prioritize, and validate novel therapeutic opportunities. We are seeking a scientist who combines deep computational expertise with strong biological intuition and a passion for understanding disease mechanisms.

** Key Responsibilities*
* + Develop and implement computational strategies that support target discovery, validation, and prioritization.

+ Analyze and interpret large-scale biological datasets, including genomic, transcriptomic, proteomic, imaging, and clinical data.

+ Leverage human genetic evidence to strengthen disease understanding and therapeutic hypothesis generation.

+ Collaborate closely with internal and external partners to integrate human genetics into early-stage discovery programs.

+ Establish scalable analytical workflows and approaches that can be applied across multiple disease areas.

+ Evaluate and implement emerging computational and AI-enabled approaches that accelerate scientific insight generation.

+ Identify opportunities to integrate new technologies and analytical methods into the Rare Disease Research operating model.

+ Work closely with disease biology pods to frame biological questions and translate computational findings into actionable scientific insights.

+ Contribute to scientific evaluations of external opportunities, collaborations, and business development activities.

+ Present scientific findings and recommendations to project teams, governance forums, and leadership groups.

+ Establish processes and frameworks that promote human-data-driven decision making.

+ As the function grows, participate in recruiting, developing, and leading future computational biology team members.

** What we expect of you*
* We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an Associate Director with the following qualifications:

** Basic Qualifications*
* + Doctorate degree and 3 years of experience applying computational approaches to biological and translational research questions

OR

+ Master's degree and 7 years of analytics experience applying computational approaches to biological and translational research questions

OR

+ Bachelor's degree and 9 years of analytics experience applying computational approaches to biological and translational research questions

OR

+ Associate's degree and 12 years of analytics experience applying computational approaches to biological and translational research questions

OR

+ High school diploma / GED and 14 years of analytics experience applying computational approaches to biological and translational research questions

** Preferred Qualifications*
* + Demonstrated expertise in human genetics, genomics, computational biology, or multi-omics analysis.

+ Strong track record of applying computational approaches to understand disease biology and identify therapeutic opportunities.

+ Ability to translate complex computational findings into clear biological insights and actionable scientific…