Programming Analytics and Solutions: Data Solutions Manager

Key Skills

Aartificial intelligence, Analytical and Problem solving, Data Analytics, Data pipelines, Data science techniques, Github, GitLab, Machine learning techniques, Planning and organization, plotly, Python Programming, R Programming, R-Shiny, SAS, SDLC

Job Description

What you will do

• Develop, test and deploy a variety of clinical data pipelines to automate business processes within Global Statistical Programming (GSP) and the wider Global Development Operations (GDO) department.
• Use a variety of automation techniques, including innovative open-source tooling, Robot Process Automation (RPA), Generative AI and/or Machine Learning (ML) to effectively automate our business processes.
• Adhere to robust software engineering principles and employ a well-structured Software Development Life Cycle (SDLC) ensuring compliance with regulatory guidelines, across all data pipelines, encompassing both GxP and Non-GxP environments.
• Thoroughly research and select suitable data sources for integration into our diverse array of data pipelines.
• Develop data visualization tooling using advanced tools like RShiny, Dash Plotly, and Spotfire.
• Collaborate effectively with internal stakeholders to streamline and automate pivotal data pipelines.
• Stay at the forefront of advancements in data science, software engineering, and drug development, actively contributing to these evolving fields.
• Champion awareness and understanding of software engineering and/or data science across GDO and the broader Amgen organization.
• Effectively communicate significant and intricate scientific information to a diverse range of stakeholders.

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 go-getter with these qualifications.

Basic Qualifications

• Doctorate degree and 2 years ofexperience

OR

Master’s degree and 4 years of experience

OR

Bachelor’s degree and 6 years ofexperience

OR

Associate’s degree and 10 years ofexperience

OR

High school diploma / GED and 12 years of experience

Preferred Qualifications

• Masters degree or equivalent in life science, data analytics, data science computer science, Math, Statistics, or related discipline
• Extensive work experience in life sciences, data sciences, or a medical related field.

Key Skills

• An in-depth understanding of clinical trial processes within the life sciences industry, spanning from data collection to analytical reporting.
• Accomplished track record in developing, testing, and deploying data pipelines.
• Proven expertise in crafting innovative automation solutions.
• Proficiency in programming with SAS, Python, and/or R, backed by substantial hands-on experience.
• Proven ability to collaborate effectively within globally dispersed teams.
• Practiced in the development of abstract and reusable code in Python, R and/or SAS.
• Thorough understanding of version control, with a particular focus on GitLab/GitHub utilization.
• Diligent technical proficiency with robust logical, problem-solving, and decision-making skills.
• Adept at fostering collaboration and influencing stakeholders and DTI resources to drive end-to-end analytic projects.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.

Vast opportunities to learn and move up and across our global organization

Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act

Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits