
10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
🔥 26 minutes ago
🧀 Wisconsin – Remote
💵 $134.2k - $181.5k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
• Developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes • Responsible for model design, selecting underlying technologies and infrastructure, and ensuring successful application of models in Process Development • Integrating modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding • Building and maintaining robust data pipelines and agentic workflows to generate impact-level insights • Collaborating with cross-functional teams to translate scientific challenges into data-driven solutions • Championing best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility
• High school diploma / GED and 10 years of Data Sciences experience OR Associate’s degree and 8 years of Data Sciences experience OR Bachelor’s degree and 4 years of Data Sciences experience OR Master’s degree and 2 years of Data Sciences experience OR Doctorate degree • Strong background in mechanistic modeling and first principles (e.g., transport phenomena, fluid mechanics, reaction kinetics) • Experience in applying AI and ML algorithms to produce data-driven solutions to engineering problems • Track record of leading modeling and data science projects • 3+ yrs of coding experience in Python • Understanding of biopharmaceuticals process and related unit operations • Experience using Git for version control • Familiarity with DevOps and software best practices (i.e., version control, continuous integration, test driven development) • Experience with data engineering & visualization tools (e.g., Databricks, Spotfire) as well as cloud computing and data storage systems such as AWS • Experience leveraging AI tools to generate agentic solutions for scientific workflows • Independent, self‐motivated, organized, and able to multi‐task in time‐sensitive environments • Excellent communication skills (written and verbal) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• 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 • Flexible spending accounts • A discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible
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