Data Scientist

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

Amgen is on a mission to unlock the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing, and delivering innovative human therapeutics. The Amgen R&D organization supports this mission by discovering, developing, and delivering transformative medicines that address the leading causes of death and disability. The work we do in R&D is guided by three strategic imperatives: Make focused investment in innovative research platforms; Innovate in Clinical Development; and Address access and use at all stages of drug development. The R&D AI Strategy & Execution (RAISE) team was recently established to accelerate R&D by harnessing AI and emerging digital technologies. The Data Science & Engineering (DS&E) team in RAISE is multidisciplinary group tasked with developing and deploying AI capabilities to accelerate execution of R&D strategic imperatives, which span discovery, development, patient safety, regulatory affairs, and our medical affairs. Data scientists in the DS&E team typically have advanced degrees in a STEM discipline of interest in biopharmaceutical R&D in addition to machine learning and advanced analytics experience.

We are seeking a Data Scientist to join DS&E. Candidates should possess robust knowledge and hands-on experience in machine learning model. In addition to general supervised and unsupervised ML, subareas 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.

Live

What you will do

• Let’s do this. Let’s change the world. In this vital role you will work collaboratively across disciplines with an overt sense of ownership.
• Fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems.
• Be a technical guide and career development mentor to junior data scientists and machine learning engineers in a formal or matrixed fashion.
• Transform business, medical, or scientific questions into analytical ones and map out solutions, delivery, and impact.
• Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
• Employ unsupervised and supervised techniques to develop predictive or prescriptive models with reliable performance, interpretability, and actionability.
• Develop or lead the deployment of generative models for a variety of applications.
• 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:

• Doctorate degree
• Or Master’s degree and 3 years of experience in a quantitative field
• Or Bachelor’s degree and 5 years of experience in a quantitative field
• Or Associate degree and 10 years of experience in a quantitative field
• Or High school diploma/GED and 12 years of experience in a quantitative field.

Preferred Qualifications:

• Advanced degree in a quantitative field (MS, PhD, or equivalent experience).
• Experience in designing and building a variety of supervised and unsupervised machine learning models.
• Experience in causal modeling and demonstrated evidence of the use thereof to inform decision making in scientific, medical, or business settings.
• Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), Gen AI prompt engineering, deep learning, natural language processing, transformer models, 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 leading teams of data scientists and machine learning engineers.

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.

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

careers.amgen.com 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.