Career Category

Scientific

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

You’ve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you’ve worked hard to acquire and the passion you already have. 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, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role.

Scientist - Computational biology and Bioinformatics

Live

What you will do

We are actively seeking a highly qualified and motivated Computational biologist with a strong background in multi-omics integration, molecular interaction network modeling, human statistical genetics and/or deep learning/federated learning to conduct systems-biology studies via integrating multi-omics human data as well as molecular multi-omics data at single-cell resolution with innovative statistical and deep-learning modeling 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 systems-genomics and systems-biology 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 multi-omics studies as well as single cell resolution omics studies 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 multi-omics studies as well as single cell resolution omics studies to accelerate clinical trials via model development to predict patients’ response to the treatment as well as to predict patients’ progression.
3. Utilize multi-omics data to generate biological interaction networks (such as protein-protein interaction networks, gene-protein interaction networks, gene regulatory 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 multi-omics data via federated deep learning approaches.
5. Manage, QC and analyze NGS-based human genetics, single-cell and bulk transcriptome, single-cell and bulk epigenome, metabolome as well as other omics data. 
6. Work closely with research informatics department to build/implement searchable browsers and GUI in the Amgen cloud multi-omics computing platform.  
7. Computational Pipeline/workflow development for the Innovation efforts of molecular multi-omics.
8. Monitor, review and critically interpret published multi-omics 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 Scientist with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of research experience in computational biology, bioinformatics, statistical modeling, biostatistics, quantitative genomics, deep learning/machine learning or relevant area

Or

Master’s degree and 4 years in the area mentioned above

Or

Bachelor’s degree and 6 years in the area mentioned above

Preferred Qualifications:

• Ph.D. with statistical modeling in biology, single cell multi-omics data, spatial multi-omics data, 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

Some of the vast rewards of working here

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.

• Full support and career-development resources to expand your skills, enhance your expertise, and maximize your potential along your career journey
• A 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—with compensation and benefits rated above 4 stars (out of 5) on Glassdoor

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. 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.