Senior Data Scientist - Digital Health & Innovation (Disease Biology) - US Remote

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like youre part of something bigger, its because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the worlds leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. Its time for a career you can be proud of.

Senior Data Scientist Digital Health & Innovation (US remote)

Live

What you will do

Lets do this. Lets change the world. In this vital role you will be part of the Data Science & Engineering (DS&E) team within the Digital Health & Innovation (DH&I) organization at Amgen. We collaborate with all functions, from Research to Commercial, to realize the promises of advanced analytics, including AI and ML. With this position, we initially seek to strengthen our partnership with Research in the area of Disease Biology. Relevant domain expertise is required. In addition, the position holder may work on other DS&E projects in any part of the bench-to-bedside pipeline depending on competency, motivation, and opportunity. This is a senior technical position. We seek candidates possessing the training, experience, and disposition to own the technical framing and execution of projects; guide junior data or bio scientists in a formal or matrixed fashion; and communicate effectively with and influence a diverse set of constituents: bio, data and manufacturing scientists and engineers, clinical researchers, commercial staff, executives, etc.

Amgen approaches drug discovery and development with a biology first approach, which means that we first seek to understand the fundamental mechanisms of disease. We explore the complex molecular pathways of disease before determining what modality is most likely to deliver optimal efficacy and safety. The holder of this position is expected to make direct impact on this approach by enhancing and initiating workstreams in several subareas, including but not limited to the following.

• Biomolecular mechanisms of disease
• Therapy target identification and validation
• Drug mechanisms of action, response, and off-target effects
• Patient stratification for risk of disease, response to treatment, risk of adverse effects, etc.

The main therapeutic areas of interest are cardiometabolic disorders, oncology, immunology; and the data that insight is to be generated from include multi-omics, spatial omics, interactome, preclinical, imaging, medical records, etc. Hands-on familiarity with common methods of supervised and unsupervised machine learning is required. Additional experience with generative machine learning would be a plus. Special consideration will be given to candidates able to demonstrate creativity and proficiency in advanced insight-revealing high-dimensional data exploration, and predictive model design and development with integrated interpretability, causality, and parsimony. Demonstrated evidence of complex data engineering and sound end-to-end software engineering would also be very appealing.

Collaborative opportunities exist in other areas of Research, as well as in Development, Manufacturing Operations, and Commercial Operations. A non-exhaustive list includes:

• Optimizing the design and execution of clinical trials for inclusion/exclusion criteria, patient diversity, enrollment uptake, geographic footprint, remote monitoring, etc.
• Characterizing patient population for disease risk, treatment responsiveness, adverse outcome of treatment, etc., based on multiple kinds of data, including real-world data.
• Generating actionable commercial insight from patient-physician-payer interaction data.

Win

What we expect of you

The Data Science professional we seek is a problem solver with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of experience in a relevant quantitative field: Computational Biology, Bioinformatics, Statistical Genetics, Quantitative Genomics, Data Science, Computer Science, Mathematics, etc.

Or

Masters degree and 6 years of experience in a relevant quantitative field: Computational Biology, Bioinformatics, Statistical Genetics, Quantitative Genomics, Data Science, Computer Science, Mathematics, etc.

Or

Bachelors degree and 8 years of experience in a relevant quantitative field: Computational Biology, Bioinformatics, Statistical Genetics, Quantitative Genomics, Data Science, Computer Science, Mathematics, etc.

Or

Associates degree and 10 years of experience in a relevant quantitative field: Computational Biology, Bioinformatics, Statistical Genetics, Quantitative Genomics, Data Science, Computer Science, Mathematics, etc.

Or

High school diploma / GED and 12 years of experience in a relevant quantitative field: Computational Biology, Bioinformatics, Statistical Genetics, Quantitative Genomics, Data Science, Computer Science, Mathematics, etc.

Preferred Qualifications:

• Doctorate degree in a quantitative subject area
• 5+ years of advanced analysis and machine learning applied in biomedicine
• Proficiency with common languages and cloud environments of data querying, software engineering and machine learning
• Evidence of scientific independence, innovation, and accomplishments
• Good interpersonal, collaborative, organizational, and presentation (oral or written) skills
• Mentoring skills across all levels
• Ability to thrive in a matrixed team environment.
• Extra: experience of generative modeling
• Extra: creativity and proficiency with integrated interpretability in data exploration and predictive model design and development

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also 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.

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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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Amgen requires all staff in the United States, Puerto Rico and Canada to be vaccinated from COVID 19 as a condition of employment. In accordance with applicable law, Amgen will provide reasonable accommodations to staff members who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Amgen, its operations, or its staff.