Associate Data Scientist

Career Category

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll 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, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Associate Data Scientist

What you will do

Let’s do this. Let’s change the world. In this vital role as part of the Decision Sciences team in Commercial Data & Analytics, the Associate Data Scientist will collaborate with business partners including commercial insights and analytics, brand teams, sales operations, data teams, external vendor partners, media agencies, service owners, and IS partners to create solutions and insights to solve challenging business problems across multiple therapeutic areas and commercial functions. This individual will apply their deep technical expertise to manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand. In addition to strategic knowledge of advanced analytics and data science, this individual is a strong storyteller and will distill complicated technical work to understandable and actionable outputs.

Responsibilities

• Using and developing data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.

• Transforming business, medical, or scientific questions into analytical ones and mapping out solutions, delivery, and impact.

• Identifying business needs and proposing potential analytical approaches for solutions.

• Building high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R with reliable performance, interpretability, and action-ability.

• Effectively communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.

• Helping further build the team, including by contributing ideas and standard methodologies and keeping abreast of developments in industry and academia.

• Communicating effectively and influencing a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.

• Creating powerful stories in PowerPoint, with knowledge of MS Office Suite (Excel and PowerPoint).

• Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is someone with these qualifications.

Basic Qualifications:

• Bachelor’s degree OR

• Associate’s 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, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value

• Strong programming skills in Python, SQL, and/or R

• Experience with data science and machine learning-related libraries in Python (Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, MLib, etc)

• Highly motivated with eagerness to learn and adapt to new subjects

• Technical aptitude with strong logical, problem-solving, and decision-making skills

• Excellent organization/planning skills and talent for managing many large and complex datasets

• Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end

• Ability to communicate analysis in a clear, precise, and impactful manner

• Familiarity with the modern dat