SandboxAQ
SandboxAQ is a company that specializes in leveraging quantum computing and artificial intelligence to develop innovative solutions in various sectors. They offer products and solutions such as Large Quantitative Models, AQtive Guard, AQMed, and AQNav targeting specific industries like public sector, financial services, life sciences, telecommunications, and education. They also provide educational programs through the Sandbox AQ Academy, fostering growth in AI and quantum education. The company aims to advance technology to solve complex real-world problems.
AI • Quantum Physics • Quantum Technology • Cryptography • Cybersecurity
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
📚 Education
🔬 Science
💰 $500M Venture Round on 2023-02
Lead AI Computational Biologist
March 19
SandboxAQ
SandboxAQ is a company that specializes in leveraging quantum computing and artificial intelligence to develop innovative solutions in various sectors. They offer products and solutions such as Large Quantitative Models, AQtive Guard, AQMed, and AQNav targeting specific industries like public sector, financial services, life sciences, telecommunications, and education. They also provide educational programs through the Sandbox AQ Academy, fostering growth in AI and quantum education. The company aims to advance technology to solve complex real-world problems.
AI • Quantum Physics • Quantum Technology • Cryptography • Cybersecurity
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
📚 Education
🔬 Science
💰 $500M Venture Round on 2023-02
📋 Description
• Lead projects combining ML/AI solutions, knowledge graphs, bioinformatics, biophysical simulations, and software development to optimize drug discovery and development strategies. • Guide a technical team to innovate in areas including disease biology. • Apply your experience in both technical leadership and people management. • Work will directly impact decision-making in drug discovery projects. • Partner with researchers from diverse backgrounds to develop novel computational methods. • Provide broad insight and lead drug projects by providing support on studies. • Interpret experimental data from biological studies. • Analyze omics and phenotyping data to identify disease-driving factors. • Propose drug targets based on biological insights derived from data.
🎯 Requirements
• PhD in computational biology or similar field with strong innovation and publication record. • 10+ years of relevant professional experience, including pharma/biotech and postdoctoral research. • Experience mentoring direct and/or indirect reports. • Excellent analytical capability, being able to identify key questions and come up with innovative solutions for complex problems. • Unique blend of passion for biology, strong bioinformatics experience (omics, pathway, network analysis, etc.), AI, software development. • Enjoys the startup work culture with a great collaborative spirit. • A strong team player with good communication skills (especially with experimental biologists).
🏖️ Benefits
• Competitive salaries • Stock options depending on employment type • Generous learning opportunities • Medical/dental/vision • Family planning/fertility • PTO (summer and winter breaks) • Financial wellness resources • 401(k) plans • And more
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