Career Category

Scientific

Job Description

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. Join us.

Senior Scientist - Statistical Modeling and Machine Learning

Live

What you will do

We are actively seeking a highly qualified and motivated Computational biologist with a strong background in quantitative proteomics, interactome network modeling and integrating multi-omics learning to conduct human proteomics studies (generated from mass-spectrometry, somascan, olink and other technologies) as well as molecular proteomics studies in single-cell resolution with innovative statistical and deep-learning modeling. In addition, to computationally model the sequence mutations and their impact to physical molecular interactions (such as protein–protein interactions) to identify key target genes with mutations that affect protein-protein interactions and involve in disease pathophysiology to accelerate breakthrough drug discovery and patient segmentation at the Computational Biology Group within the Genome Analysis Unit (GAU). GAU is a multi-disciplinary effort embedded into our drug discovery engine that continually leverages advancement in genetics, genomics, disease modeling, and computational biology to answer critical drug discovery questions from target inception through drug development. The successful candidate will have a track record of innovative and collaborative research demonstrated through peer-reviewed publications.
In this vital role you will design, develop and carry out proteomics and integrated multi-omics studies to model pathophysiology of diseases, to understand the mechanism of actions of potential therapeutic targets and to support projects in the drug discovery pipeline as well as collaborate with internal and external data scientists. An ability to communicate clearly and collaborate effectively with colleagues from different disciplines will be essential.

The specific responsibilities of the candidate include but are not limited to:
1. Target discovery effort: Design, conduct, interpret and report on human proteomics and multi-omics studies as well as molecular proteomics studies at single cell resolution to accelerate the discovery of selective therapeutics and its validation in oncology, inflammation and cardiovascular disorders.
2. Patient stratification effort: Design, conduct, interpret and report on human proteomics and multi-omics studies as well as molecular proteomics studies at single cell resolution to accelerate clinical trials via model development to predict patients’ response to the treatment as well as to predict patients’ progression.
3. Utilize proteomics data to generate biological interaction networks (such as protein-protein interaction networks) that will be used to study disease biology and MOA of selected targets.  
4. Work collaboratively with external academic, biotechnology, and contract research organizations to access external human proteomics and multi-omics data via federated deep learning approaches.
5. Work closely with research informatics department to build/implement searchable proteomics atlas and GUI in the Amgen cloud multi-omics computing platform.  
6. Computational Pipeline/workflow development for the Innovation efforts of human proteomics and molecular proteomics.
7.Monitor, review and critically interpret published proteomics data resources and analytical approaches to guide internal research.
 

Win

What we expect of you

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

Basic Qualifications:

Doctorate degree and 3 years of research experience in bioinformatics, statistical modeling, biostatistics, quantitative genomics, deep learning/machine learning or relevant area experience

OR

Master’s degree and 6 years of experience in the area mentioned above

OR

Bachelor’s degree and 7 years of of experience in the area mentioned above

Preferred Qualifications

• Ph.D. with statistical modeling in biology, bioinformatics, biostatistics, quantitative genomics, deep learning/machine learning applied in biomedicine or relevant area with 3 years research experience (preference for industry/pharma)

• Fluency in R/Python/ TensorFlow analytic techniques necessary for data analyses

• Experience working with cloud computing environment and data management

• Evidence of scientific independence and accomplishments

• Strong publication record of novel discovery or innovation

• Strong interpersonal, collaborative, organizational, and presentation (oral or written) skills

• Outstanding mentoring skills across all levels

• Proven record of innovative thinking to propose and champion new ideas and solve problems.

• Demonstrated ability to thrive in a team environment.

Thrive

What you can expect of us

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

• Vast opportunities to learn and move up and across our global organization
• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com

Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.