Senior Data Scientist

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Data Scientist

We are seeking a Senior Data Scientist to join the Technology Innovation Lab Data Science & Engineering team. Candidates should possess robust knowledge and hands-on experience in developing statistical and machine learning models and using them to drive business value. In addition to general supervised and unsupervised ML, subareas of interest include natural language processing, image & audio processing, causal modeling, time series analysis, and generative AI. Additional capabilities in mechanism-based mathematical modeling, advanced statistical modeling, or causal modeling may receive special consideration. Domain knowledge in Pharmacovigilance or at least one of biopharmaceutical R&D discipline is strongly preferred.

Lets do this. Lets 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.

We are all different, yet we all use our unique contributions to serve patients. The Data Science professional we seek will have these qualifications.

Basic Qualifications:

Doctorate degree

Masters degree and 2 years of experience in a quantitative field

Bachelors degree and 4 years of experience in a quantitative field

Associate degree and 8 years of experience in a quantitative field

High school diploma/GED and 10 years of experience in a quantitative field.

Preferred Qualifications:

• Proficiency in Python and SQL.
• Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value.
• Proficiency in these methodologies with demonstrated and interpretable insight and impact: Deep learning, NLP models, Time Series Models, Generative Artificial Intelligence (Gen AI), Bayesian Models.
• Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Biosciences data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
• Experience in Pharmacovigilance/Patient Safety strongly desired.
• Experience using causal modeling to inform decision making in a scientific, medical, or business setting strongly desired.
• Experience with cloud computing technologies, e.g., AWS, Spark.
• Experience with machine learning engineering, building and deploying modelling pipelines & APIs, and designing data models and architecture designs.
• Experience with source code control technologies, e.g., Git.
• Experience leading project teams of data scientists and machine learning engineers.
• Experience communicating technical topics with non-technical business stakeholders

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

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.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of 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 that may include:

• A 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
• Flexible work models, including remote and hybrid work arrangements, where possible

Objects in your future are closer than they appear. Join us.

careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

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 and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

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, disability status, or any other basis protected by applicable law.

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 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.