Job Information
Amgen Data Scientist in Washington D.C., District Of Columbia
HOW MIGHT YOU DEFY IMAGINATION?
You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? 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. Come do your best work alongside other innovative, driven professionals in this meaningful role.
Data Scientist
Live
What you will do
Let’s do this. Let’s change the world. In this vital role candidates should possess robust knowledge and hands-on experience in machine learning modelling. In addition to general supervised and unsupervised ML, sub-areas of interest include natural language processing, image processing, audio processing, and generative AI. Additional capabilities in mechanism-based mathematical modeling, advanced statistical modeling or causal modeling would receive special consideration. Furthermore, domain knowledge in one of biopharmaceutical R&D disciplines is strongly desired.
Key Responsibilities:
Transform business, medical, or scientific questions into technical problems and identify possible solutions aimed at on-time delivery and impact.
Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms.
Employ unsupervised and supervised techniques to develop predictive or prescriptive models with reliable performance, interpretability, and actionability.
Develop generative models for a variety of applications.
Execute data science projects and complete high-quality deliverables on time to support business.
Work collaboratively across disciplines with an overt sense of ownership.
Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
Help further build the team, including by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia.
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.
Basic Qualifications:
Master’s degree
OR
Bachelor’s degree and 2 years of experience in a quantitative field
Or
Associate degree and 4 years of experience in a quantitative field
Or
High school diploma/GED and 6 years of experience in a quantitative field.
Preferred Qualifications:
Experience in designing and building a variety of supervised and unsupervised machine learning models.
Experience in applying machine learning to solve a scientific, medical, or business problem and demonstrated evidence of the use thereof to inform decision making.
Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
Strong proficiency in Python and experience in SQL.
Experience with cloud computing technologies, e.g., AWS, Spark.
Experience with source code control technologies, e.g., Git.
Full stack experience with building and deploying modeling pipelines.
Experience communicating technical topics with non-technical business stakeholders
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.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:
Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models, including remote work arrangements, where possible
Apply now
for a career that defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
Application deadline
Amgen anticipates accepting applications until 06/26/2024; however, we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.
Amgen is an Equal Opportunity employer and will consider you without regard to your 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.