Scientific Director - Computational Toxicology

Career Category

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. 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. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Scientific Director - Computational Toxicology

Live

What you will do

Let’s do this. Let’s change the world. The Scientific Director of Computational Toxicology within the Translational Safety & Bioanalytical Sciences (TS&BA) Data Sciences team will lead efforts to develop predictive toxicology models using advanced mathematical and/or statistical analysis and artificial intelligence/machine learning models. Models will incorporate diverse data types such as in vitro/in vivo data, multi-omics data, text-based data, and image data and should integrate diverse biological and toxicological profiles using both internal and external toxicology-related databases and resources. In this vital role you will be expected to:

• Present and publish research findings both internally and externally and to collaborate internally with colleagues within Amgen such as TS&BA, the Center for Research Acceleration through Digital Innovation (CRADI), R&D AI Strategy & Execution (RAISE) and Digital Technology and Innovation (DTI), as well as externally with federated data analysis efforts.
• Present and publish research findings both internally and externally.
• Comfortably navigate a highly matrixed environment and collaborate internally and externally for maximum impact and value.

Win

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 a leader with these qualifications.

Basic Qualifications:

Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 5 years of relevant experience

Or

Master’s degree and 8 years of relevant experience

Or

Bachelor’s degree and 10 years of relevant experience

Preferred Qualifications:

• Ability to analyze and interpret extensive datasets, using tools such as Python, R, or SQL
• Ability to design workflows and data analysis pipelines for automated and standardized analysis of large data sets
• Demonstrated experience with advanced AI/ML techniques, including generative adversarial networks, k-nearest neighbor, support vector machine, random forest, logistic regression, penalized logistical regression, naïve bayes, convolutional neural networks, and recurrent neural networks
• Understanding and preferably hands-on experience with machine learning libraries, such as TensorFlow or PyTorch
• Understanding and preferably hands-on experience with cloud platforms like Azure and AWS
• Ability to extend existing web-based interactive tools and database queries as questions and analysis evolves
• Quality control of computationally derived data
• Excellent written and verbal communication skills and the ability to articulate complex technical concepts effectively to both technical and non-technical stakeholders
• Fundamental understanding of biopharmaceutical research, drug development pipelines, and toxicology data generation

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 de