Scientific Business Analyst - Research Informatics

Amgen • South San Francisco, CA

200d • Hybrid

About The Position

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's 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, you'll 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, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Requirements

• Master's degree OR Bachelor's degree and 2 years of Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field experience.
• Or Associate's degree and 6 years of Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field experience.
• Or High school diploma / GED and 8 years of Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field experience.

Nice To Haves

• Solid background in biological science or bioinformatics; Expertise in assay technologies and related data analysis.
• Hands-on experience performing or supporting data capture from instruments in a research laboratory or vivarium.
• Experience handling GxP data and system validation.
• Knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP).
• Experience using or supporting platforms from scientific software providers such as Genedata, StudyLog, Revvity, Proscia, Thermo, Benchling, IDBS, Biovia, etc.
• Experience in AI and machine learning for drug discovery research and preclinical development.
• Experience with Agile methodologies, including managing product backlogs using tools like Jira.

Responsibilities

• Partner with Research scientists to understand their needs and define informatics system requirements for experimental data and metadata management.
• Lead or assist with the deployment of scientific software platforms, Electronic Lab Notebook (ELN), and Laboratory Information Management Systems (LIMS).
• Facilitate seamless integration of assay/study metadata, compound information, experimental results, etc. into cohesive systems for research teams, ensuring data consistency.
• Implement and manage AI/ML tools that support the design of experiments with predicted success, and enhancement of molecule potency & efficacy.
• Use platforms such as Spotfire, Tableau, Power BI, etc., to build interactive dashboards that enable scientists to visualize and analyze complex experimental data, facilitating data-driven decisions in research workflows.
• Find opportunities to improve workflows using hardware-software automations, AI-driven insights and data visualization tools.
• Oversee test plans to ensure informatics and AI solutions meet specifications and support scientific teams while adhering to Amgen standards.
• Create and maintain clear and detailed documentation for system requirements, business processes, data flows, system configurations, and user guides.
• Deliver training on scientific software tools, data analysis and analytics platforms, AI capabilities, LIMS and ELNs.
• Act as a bridge between research teams, technology teams, and software vendors to align system functionalities with user needs and manage project expectations.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree