Career Category
ScientificJob Description
Amgen is dedicated to discovering transformative medicines that address the leading causes of death and disability. Within Amgen’s Research and Development organization, the Computational and Data Sciences (CDS) team strives to revolutionize the design and discovery of breakthrough differentiating therapeutics. Driven by passion and commitment, the CDS team provides actionable insights from physical and data modeling to accelerate therapeutic discovery.
Amgen has new opportunities for enthusiastic data scientists with backgrounds in computational biology or chemistry to join our CDS team where you will utilize your expertise to develop models and algorithms in collaboration with multidisciplinary teams of computational and experimental scientists. Providing technical leadership and partnering across broad discovery areas of research, you will:
- Develop and implement groundbreaking machine learning and other data science solutions.
- Collaborate with computational and experimental scientists to develop and optimize predictive models that directly impact the discovery pipeline.
- Provide technical leadership to data scientists and engineers.
Basic Qualifications
Doctorate degree and 3 years of related data sciences experience
OR
Master’s degree and 6 years of related data sciences experience
OR
Bachelor’s degree and 8 years of related data sciences experience
Preferred Qualifications:
- PhD in in Computational Sciences, Applied Math, Statistics or related quantitative field.
- Strong track record of research accomplishments including five or more scientific publications or conference presentations.
- At least 10 years experience applying both traditional data sciences and deep machine learning to molecular sciences and drug discovery.
- Expertise in advanced data science techniques and tools, machine learning, supervised/unsupervised learning and statistical analysis.
- Experience with UNIX, Python, C++, TensorFlow, PyTorch, Keras.
- Strong communication, project management and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment.
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