Grad Intern - Data Science (TS&BA)

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Job description

Join Amgens Mission of Serving Patients

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.

Grad Intern - Data Science (TS&BA)

What You Will Do

Lets do this. Lets change the world. This internship provides an opportunity to apply your data science expertise to real-world toxicology challenges within the drug development process. You will work alongside experienced toxicologists and data scientists to analyze complex biological data, develop predictive models, and support the safety assessment of novel drug candidates.

Key Responsibilities

• Data Analysis & Modeling: Analyze large-scale toxicology datasets using advanced statistical techniques, machine learning algorithms, and computational models to assess drug safety.
• Predictive Toxicology: Develop and apply predictive models to forecast adverse drug reactions and toxicological outcomes, leveraging multi-omics data (genomics, proteomics, etc.), high-throughput screening results, and clinical data.
• Data Integration & Visualization: Collaborate on projects that involve the integration of diverse data sources, including experimental, clinical, and real-world evidence data, and create visualizations that provide meaningful insights into toxicological risks.
• Collaborative Research: Work cross-functionally to explore the application of data science in discovery and regulatory toxicology and contribute to decision-making in drug safety evaluations.
• Innovative Approaches: Explore and apply cutting-edge methodologies such as artificial intelligence (AI) and machine learning (ML) to identify support predictive toxicology efforts.
• Reporting & Documentation: Document and present findings through technical reports, scientific presentations, and potential publication in peer-reviewed journals.
• Drug Development Exposure: Gain insights into the end-to-end drug development process, from early discovery through to clinical trials, focusing on how toxicology impacts decision-making in regulatory submissions and safety assessments.

Learning Opportunities

• Exposure to the pharmaceutical drug development pipeline, with a focus on how toxicological evaluations guide early and late-stage decisions.
• Hands-on experience with data science tools (e.g., Python, R, TensorFlow) and platforms for handling and analyzing toxicology data.
• In-depth learning about the role of predictive toxicology and its growing importance in drug safety.
• Mentorship and guidance from experienced toxicologists and data scientists, helping you sharpen your technical and research skills.
• An opportunity to apply machine learning and AI techniques to real-world toxicology datasets.
• Networking with industry professionals and other researchers within a leading pharmaceutical company.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The hardworking individual we seek is a team player with these qualifications:

Basic Qualifications:

Amgen requires that all individuals applying for a grad internship or a co-op assignment at Amgen must meet the following criteria:

• 18 years or older
• Graduated with a bachelors degree from an accredited college or university
• Currently enrolled in an MBA program for an MBA internship OR a Masters program for a Masters internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Masters OR Pharm D OR Ph.D. program before the internship starts
• Enrolled in an accredited college or university following the potential internship or co-op assignment
• Must not be employed at the time the internship starts
• Student must be located in the United States for the duration of the internship or co-op

Preferred Qualifications:

• PhD with concentration(s) in Data Science, Bioinformatics, Toxicology, Computational Biology, or a related field.
• Strong understanding of data science methodologies and experience with data analysis, statistical modeling, and machine learning.
• Proficiency in programming languages such as Python, R, or SQL is required.
• Experience with machine learning frameworks and tools (e.g., TensorFlow, Scikit-learn) is highly desirable.
• Knowledge of toxicology or pharmacology is a plus, but not mandatory.
• Strong analytical skills with the ability to work on complex datasets and extract meaningful insights.
• Excellent written and verbal communication skills for conveying technical concepts to both scientific and non-scientific audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment.

What You Can Expect of Us

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 base pay range for this opportunity in the U.S. is $30 - $40 per hour.

• Build a network of colleagues that will endure and grow throughout your time with us and beyond.
• Bring your authentic self to the table and become the professional youre inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities.
• Participate in executive and social networking events, as well as community volunteer projects.

Apply nowfor an internship/co-op that defies imagination

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

Please search for Keyword R-198735

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.

Application deadline

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.

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