Associate Director - Computational Biology; Cardiovascular, Metabolic, Obesity and Related

Position: Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)
Career Category

Scientific

Job Description

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.

Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)

What you will do

Let's do this. Let's change the world. The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In this vital role, you will contribute to advancing Amgen's clinical programs and studies by integrating computational biology and bioinformatics techniques with biological and clinical data.

The ideal candidate will have experience in matrixed environments, supporting therapeutic development by providing insights derived from clinical biomarker data. Support Amgen CVMet and OaR teams as a Comp Bio Therapeutic Area Lead and Global Biomarker Analysis Lead.

* Develop biomarker analysis plans to support precision medicine, evidence generation and reverse translation during clinical development of therapeutic molecules.

* Define and execute workflows for biomarker data analysis, integrating multiple omics, imaging and digital biomarkers, integrated with clinical metadata and outcomes

* Lead the analysis and interpretation of clinical biomarker data from various assay platforms, including metabolomics, imaging, flow cytometry, immunoassays, transcriptomics, proteomics, and spatial omics.

* Support the generation of evidence for target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development.

* Work closely with clinical scientists and biomarker leads, to extract biological insights from high-dimensional datasets and integrate them into translational analytics, precision medicine plans and clinical development plans.

* Collaborate cross-functionally with early development teams, biostatistics, clinical pharmacology, precision medicine leads, clinical biomarker leads, and research teams to manage data integration, analysis, and presentation.

* Support Amgen internal and external presentations with fit-for-purpose analysis insights and messaging and support the development of publications

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.

Basic Qualifications:

Doctorate degree [and relevant post-doc where applicable] and 4 years of scientific experience

OR

Master's degree and 7 years of scientific experience

OR

Bachelor's degree and 9 years of scientific experience

Preferred Qualifications:

* PhD in Bioinformatics, Mathematics, Computer Science, Computational Biology or Data Science, with a minor or robust background in Biology

* A background in cardiovascular diseases, obesity and chronic weight management, and other metabolic diseases is highly preferred.

* Hands-on experience in statistical modeling, machine learning, and AI applied to clinical biomarker and clinical efficacy data

* A strong understanding and practical skills in statistics and their use in data analysis for clinical settings

* Proven expertise in analyzing multi-modal, multi-dimensional, and large-scale biological data.

* Prior experience working in a matrixed biotechnology or pharmaceutical setting. Proficiency in R and Python programming, with familiarity in various principles for data manipulation and visualization.

* Familiarity with agentic frameworks and the ability to build agents for day-to-day tasks that can be automated

* Strong understanding of platforms used in clinical biomarker research, including pathomics, cytomics, immunoassays, mass-spectrometry, other metabolomics platforms, next-generation sequencing (NGS), and proteomics

* Knowledge of inflammatory, cardiovascular and metabolic diseases and how computational biology can drive drug discovery and development in…