Data Sciences Principal Scientist – Translational Safety and Risk Sciences Full-time NEW

Data Sciences Principal Scientist – Translational Safety and Risk Sciences

Amgen's Translational Safety and Risk Sciences (TSRS) department is seeking a skilled, innovative Data Scientist at the Principal Scientist level to provide scientific leadership and play an active role in the process of drug development from late-stage discovery through marketed products. Working in a collaborative team environment, in this vital role you will contribute to hazard identification and risk assessment of different therapeutics and therapeutic modalities by employing AI/ML and computational methods to analyze and integrate multi-modal omics, diverse nonclinical, and clinical datasets to identify and evaluate safety signals and translational insights in order to accelerate the development of novel treatment options for patients. Amgen scientists make significant contributions to multiple teams, work in multiple therapeutic areas, and mentor and motivate other staff members.

Key responsibilities for this role include:

• Identify and evaluate putative safety signals, mechanistic liabilities, translational risk patterns/phenotypes and pathway mechanisms by applying computational biology approaches that leverage ML/AI methods, data integration, multimodal omics data, and biological knowledge across multiple therapeutic areas.
• Collaboratively develop automated data aggregation, processing, visualization, and interpretation pipelines.
• Comfortably navigate a highly matrixed environment and collaborate internally with colleagues within Amgen such as TSRS, the Center for Research Acceleration through Digital Innovation (CRADI), R&D AI Strategy & Execution (RAISE), Digital Technology and Innovation (DTI), and subject matter expert teams to align AI/ML initiatives with overall strategic project goals of the TSRS organization and drive impactful decision-making.
• Champion innovation by tapping into expertise in ML/AI, data science, and advanced modeling to propose new technical strategies that address the business challenges.
• Contribute to regulatory documentation by generating mechanistic off target insights into safety hazards/risks and predictive safety assessments
• Lead evaluations of novel computational methods, tools, and software for applicability in nonclinical safety.
• Provide expertise and mentorship in computational biology, data science methodologies, and ML/AI algorithms development to Amgen colleagues.
• Exemplify a self-starter mentality towards continuous learning and broadening impact. Continue to develop scientific expertise, credentials, and drug development expertise by keeping abreast of relevant literature and by expanding scientific/technical knowledge.

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] in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 2 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Or

Master's degree in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 5 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Or

Bachelor's degree in Computational Biology, Bioinformatics, Computer/Data Sciences, Life Sciences or a related field and 7 years of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development

Preferred Qualifications:

• 5 years post-PhD or 10 years post-Master's degree of pharmaceutical/biotechnology industry experience applying computational methods to support drug discovery/development
• Reputation as an emerging leader in the field with a proven track record of drug discovery project leadership in a biotechnology or pharmaceutical environment
• Ability to analyze and interpret large scale datasets with proficiency in programming tools such as Python, R, shell scripting, SQL or other languages
• Proficiency in data visualization and dashboarding frameworks (e.g., Spotfire, Tableau, R, R-Shiny)
• Ability to design workflows and data analysis pipelines for automated and standardized analysis of large data sets
• Demonstrated experience with advanced AI/ML techniques and statistical modeling (e.g., multivariate linear regression, cluster algorithms, logistic regression, Neural Networks, etc.)
• Understanding and preferably hands-on experience with cloud platforms such as Azure and AWS
• Excellent interpersonal skills with the ability to build strong collaborations across matrixed teams.
• Excellent communications skills with an ability to clearly articulate complex scientific concepts to both technical and non-technical partners.
• A strong teammate and scientific leader with a passion for science and drug discovery
• Positive attitude and high personal and ethical standards
• Fundamental understanding of biopharmaceutical research, drug development pipelines, toxicology data generation, and a working understanding of innovative science and technology being used to enhance investigation of drug development safety issues.

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, we'll 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

Apply now and make a lasting impact with the Amgen team.