Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $134.2k - $181.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Amgen

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, develop, and implement scalable data engineering, machine learning, analytics, and visualization solutions for Clinical Development • Partner with data scientists and cross-functional teams to translate business requirements into robust data pipelines and analytical tools • Collaborate with research scientists and data scientists to develop AI and advanced analytics solutions that accelerate drug research and development • Design, write, and test data and machine learning pipelines • Collect business requirements and user stories for new or enhanced analytic solutions • Train users on solutions provided by the CfDA Data Science organization • Contribute to process improvement initiatives • Adhere to Amgen policies, SOPs, and controlled documents • Participate in developing and reviewing CfDA Data Sciences policies, SOPs, and controlled documents • Participate in external professional organizations, conferences, and meetings • Contribute to implementation of internally developed and externally provided analytic solutions • Develop innovative approaches to solve client analytics problems and communicate results and methodologies • Recommend ongoing improvements to methods and algorithms that generate analytic insights

🎯 Requirements

• Ph.D. degree OR Master’s degree • 2 years of related experience • Proven ability to write robust code in R and Python • Working understanding of common machine learning algorithms and approaches, including neural networks, random forest classifiers, ensemble methods, and NLP • Proficiency in Linux operating system and associated shell commands • Experience working effectively in a globally dispersed team environment • Experience in drug development in related industries or academic research • Experience with distributed compute and data technologies such as Spark and Python Dask • Experience with DevOps frameworks such as Git • Experience building and deploying analytic solutions in a cloud environment • Ability to self-direct • Ability to communicate 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