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 β’ Quantum Physics β’ Quantum Technology β’ Cryptography β’ Cybersecurity
51 - 200 employees
Founded 2022
π€ Artificial Intelligence
π Education
π¬ Science
π° $500M Venture Round on 2023-02
March 7
πΊπΈ United States β Remote
π΅ $192k - $269k / year
β° Full Time
π΄ Lead
𧬠Research Scientist
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 β’ Quantum Physics β’ Quantum Technology β’ Cryptography β’ Cybersecurity
51 - 200 employees
Founded 2022
π€ Artificial Intelligence
π Education
π¬ Science
π° $500M Venture Round on 2023-02
β’ develop completely new computational tools to reshape drug discovery β’ leverage expertise in computational biology and toxicology to predict ADME/tox properties of new drugs β’ help lead the creation of next-generation technology β’ work with a cross-functional team of experts to computerize drug discovery β’ apply deep learning approaches to the above and drive curation of high-quality datasets β’ write patents, research papers and technical documents and present at international conferences
β’ Ph.D. in computational biology, bioinformatics, computer science, or related data science fields with 4+ years of biopharma industry experience β’ Experience with computational methods for ADME/tox and pK/pD prediction, ideally including knowledge graph methods β’ Experience with contemporary AI/ML techniques, including deep learning architectures, and ideally including GNNs β’ Extensive hands on experience with high-throughput sequencing data, such as RNA-seq, single-cell RNA-seq data, genomic (whole-genome and exome) data, and/or proteomic data, including retrieval of these from public repositories β’ Experience leading technical projects β’ Advanced proficiency with Python, R, including for ML (i.e. with PyTorch or TensorFlow) and database management β’ Excellent communication skills
β’ competitive salaries β’ stock options depending on employment type β’ generous learning opportunities β’ medical/dental/vision β’ family planning/fertility β’ PTO (summer and winter breaks) β’ financial wellness resources β’ 401(k) plans β’ more
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