Sr Manager Data Sciences

Amgen's DH&I Data Science & Engineering (DS&E) team is seeking an experienced Sr Manager Data Sciences to advance our mission and help develop and lead a team of talented data scientists to develop and apply machine learning to better understand fundamentals of human disease, predict patient's risk for particular disease, and infer medicines that could be most efficacious for patients, along with other solutions that benefit patients.

Amgen Digital Health & Innovation (DH&I) seeks to position Amgen as the therapeutic leader of choice for patients through the discovery, development, and application of emerging digital solutions. To advance this mission, the DH&I Data Science & Engineering (DS&E) team incubates and applies digital technologies and data science across impactful problems such as predicting patients' risk for a particular disease or using data to determine the most effective treatment for individual patients with grievous illnesses. See our MIT Tech Review and WIRED articles to learn more about our mission and the problems we focus on and a recent publication in the Journal of the Endocrine Society showcasing the cutting edge work of our team members.

Amgen (NASDAQ:AMGN), a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, heart disease, rheumatoid arthritis and other serious illnesses. With a deep and broad pipeline of potential new medicines, we continue to advance science to serve patients.

Primary Responsibilities:

• Lead, coach, and develop mid-sized team of data scientists to analyze and apply machine learning to solve problems impacting patient outcomes across multiple therapeutic areas leveraging diverse data, ranging from genomics to clinical trials to real world evidence
• Collaborate closely and lead efforts with Amgen business leaders to identify, understand, explore, and lead team to deliver insights and solutions for critical problems
• Act as a thought leader in machine learning at Amgen ensuring data science team continues to apply cutting edge models both in addressing the problem at hand and eventually culminating in sustainable solutions, publications, and both internal and external presentations
• Collaborate closely with machine learning engineering team to ensure solutions that data science team develops can be deployed and are sustainable long term
• Lead, develop, and ensure standards, processes, and best practices for the data science team

Basic Qualifications:

Doctorate degree and 2 years of data science experience

OR

Master's degree and 6 years of data science experience

OR

Bachelor's degree and 8 years of data science experience

OR

Associate's degree and 10 years of data science experience

OR

High school diploma / GED and 12 years of data science experience

AND

2 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Preferred Qualifications:

• Advanced degree in Computer Science, Computational Biology, Bioinformatics, Bioengineering, Informatics, Epidemiology, Health Economics, Math, Statistics, or similar field with 3+ years of experience
• Proven experience as a Sr Data Scientist or Sr Manager Data Sciences or Sr Manager Machine Learning Engineering or similar role preferably in the healthcare industry
• Demonstrated ability to coach and develop data science teams to apply machine learning in a business critical and cutting-edge manner
• Extremely capable teacher of machine learning algorithms particularly in a real-world application context
• Excellent communication skills and experience collaborating cross functionally with both technical and non-technical stakeholders
• Record of publications or conference presentations on topics in machine learning field
• Proven experience developing and leading data science teams to achieve industry leading solutions (as evidenced by publications, presentations, open-source contributions or Kaggle kernels by direct reports/mentees)
• Experience leading teams leveraging diverse data sets (e.g. multi-omics to real world evidence)
• Industry leading functional knowledge in one or more functional areas (Research, Development, Commercial Operations, Manufacturing) in the healthcare or life science industry.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

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

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.