Grad Intern – Computational Chemistry

Job not on LinkedIn

🔥 41 minutes ago

🇺🇸 United States – Remote

💵 $35 - $41 / hour

⏰ Full Time

⚪️ Entry-level

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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

• Develop and evaluate machine learning models for molecular property prediction • Assess predictive performance using appropriate metrics • Explore approaches to making models accessible through conversational AI agents • Apply model interpretability methods to investigate how molecular features influence predictions • Explore structure–property relationships • Work collaboratively with interdisciplinary teams to execute and implement the project successfully • Review and summarize project-related literature • Communicate findings and progress to team members • Clearly document methods and analyses to enable reproducible research

🎯 Requirements

• Must be available to work a full-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 • Degree in Computational Chemistry, Cheminformatics, Computational Biophysics, Data Science or a similarly quantitative field • Familiarity with machine learning models for molecular property prediction, including model development and evaluation of predictive performance • Experience with molecular data processing and analysis using cheminformatics tools such as RDKit • Familiarity with model interpretability methods for exploring structure-property relationships • Demonstrated programming and data analysis experience in Python • Familiarity with Unix-based systems and version control software (Git) • Track record of research contributions through peer-reviewed publications or presentations at scientific conferences • Candidates must be authorized to work in the U.S. for the duration of this program

🏖️ Benefits

• Competitive benefits • Professional and personal growth and well-being support • Collaborative culture • Executive and social networking events • Community volunteer projects • Inclusive environment • Reasonable accommodation for individuals with disabilities • Equal opportunity employment

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