Amgen Inc

Postdoctoral Fellow - Biocatalysis

US - California - Thousand Oaks

Sponsorship not specifiedDetected 2 hours ago

Code ReviewGitMachine LearningDeep LearningPyTorchBioinformaticsResearchCommunication

About the role

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.

A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

You will not be penalized for redacting or removing this information.
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.
Sponsorship Sponsorship for this role is not guaranteed.
Together, we compete in the fight against serious disease.
Please contact us to request accommodation.
This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.
For more information, visit www.amgen.com and follow us on www.twitter.com/amgen

81,178.40USD -109,829.60 USD Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.

Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives.

This listing is sourced directly from Amgen Inc's careers page and normalized into a canonical job model.