Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement scalable solutions for data engineering, machine learning, analytics, and visualization in Clinical Development.

• Collaborate with data scientists and cross-functional teams to convert business requirements into effective data pipelines and analytical tools.

• Work alongside research scientists and data scientists to create AI and advanced analytics solutions that expedite drug research and development.

• Create, write, and test data and machine learning pipelines.

• Gather business requirements and user stories for new or improved analytic solutions.

• Provide training to users on the solutions offered by the CfDA Data Science organization.

• Engage in process improvement initiatives.

• Follow Amgen policies, SOPs, and controlled documents.

• Involve in the development and review of CfDA Data Sciences policies, SOPs, and controlled documents.

• Participate in external professional organizations, conferences, and meetings.

• Assist in the implementation of both internally developed and externally provided analytic solutions.

• Innovate new strategies to address client analytics challenges and effectively communicate results and methodologies.

• Suggest ongoing enhancements to methods and algorithms that produce analytic insights.

⛳️ Requirements

• Ph.D. degree or Master’s degree.

• Minimum of 2 years of relevant experience.

• Demonstrated ability to write robust code in R and Python.

• Familiarity with common machine learning algorithms and techniques, including neural networks, random forest classifiers, ensemble methods, and NLP.

• Proficient in the Linux operating system and related shell commands.

• Experience working efficiently in a globally dispersed team environment.

• Background in drug development in relevant industries or academic research.

• Knowledge of distributed compute and data technologies such as Spark and Python Dask.

• Experience with DevOps frameworks like Git.

• Experience in building and deploying analytic solutions in a cloud environment.

• Capability to work independently.

• Ability to explain complex concepts to a non-technical audience.

• Sponsorship for this role is not guaranteed.

🏝️ Benefits

• Comprehensive employee benefits package.

• Retirement and Savings Plan with generous company contributions.

• Group medical, dental, and vision coverage.

• Life and disability insurance.

• Flexible spending accounts.

• Discretionary annual bonus program.

• Stock-based long-term incentives.

• Award-winning time-off plans.

• Flexible work models where possible.

• Career development opportunities.

• Reasonable accommodation for disabilities.