
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.
🔥 42 minutes ago
🇺🇸 United States – Remote
💵 $35 - $41 / hour
⏱ Part Time
⚪️ Entry-level
🦅 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.
• Expand Amgen’s computational toolbox for assessing the safety of small molecule drug candidates and potentially other modalities • Work with computational scientists and nonclinical safety experts on early drug-discovery safety predictions • Identify, curate, and compare external and internal data, including chemical structures, assay results, and exposure information • Develop and evaluate structural alerts, analogue-based read-across, machine learning, and models integrating experimental results with other safety evidence • Evaluate model performance on relevant compounds • Document context of use, uncertainty, applicability, and limitations • Collaborate with computational scientists, medicinal chemists, and toxicologists to guide compound prioritization and follow-up experiments • Present results and deliver reproducible analyses, documented model prototypes, and development recommendations • Provide mechanisms for retraining as additional data is generated over time
• Must be available to work a part-time schedule • Expected continued enrollment in an accredited college or university following the internship program / co-op • Student must be located in the United States for the duration of the internship program • 18 years or older • Graduated with a bachelor’s degree from an accredited college or university • Currently enrolled in an MBA, Master’s, PharmD, or Ph.D. program from an accredited college or university • Completion of the first year of the applicable graduate program before the internship starts • Currently pursuing a graduate degree in cheminformatics, bioinformatics, computational chemistry or biology, data science, statistics, toxicology, or a related field • Experience using Python to analyze scientific data • Familiarity with statistical modeling and machine learning, including model evaluation principles • Ability to communicate technical findings clearly and work with scientists from different disciplines • Experience with cheminformatics, predictive toxicology, or in vitro assay data analysis • Familiarity with small molecule drug discovery or nonclinical safety assessment • Experience combining data from multiple sources and documenting reproducible computational workflows • Familiarity with version control and collaborative software development • Candidates must be authorized to work in the U.S. for the duration of this program
• Competitive benefits • Collaborative culture • Professional and personal growth and well-being support • Networking opportunities with colleagues • Executive and social networking events • Community volunteer projects • Inclusive culture valuing diversity of thought and experience • Reasonable accommodation for individuals with disabilities
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