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Junior Machine Learning Scientist, Bioinformatics

Jobright.ai, New York, New York, us, 10261

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Junior Machine Learning Scientist, Bioinformatics

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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The role involves developing new computational tools for drug discovery using deep learning models, with a focus on genomics and transcriptomics. Responsibilities: • Develop and apply deep learned models to predict genomic and transcriptomic profiles, including after perturbation by drug molecules. • Drive curation and use of high-quality datasets, such as single-cell RNA-seq datasets. • Work with a cross-functional team of experts to computerize drug discovery. • Write patents, research papers and technical documents. Participate and present at international conferences. • Reshape drug discovery, advance machine learning, and protect humanity from disease. Qualifications: Required: • Ph.D. in a field setting you up to work on deep learning models for genomics, transcriptomics, and biological pathway modeling: computational biology, bioinformatics, computer science, applied math, etc. • 2+ years working on deep learning for biopharma in an industry context. • Experience in training, applying, and optimizing contemporary deep learning models, including generative models, as demonstrated by: • Experience applying deep learning models to problems in biopharma: genomics, transcriptomics, spatial transcriptomics, and/or related fields such as structural biology. • Software skills: advanced proficiency with Python, with related software ecosystem tools (i.e. Git, Docker, Kubernetes, etc), and contemporary deep learning and informatics terms (i.e. R, Pytorch, etc) • Excellent communication skills Preferred: • Experience in long-context sequence modeling • Direct experience in drug discovery or development • Experience running deep learning workloads on GPU clusters at large scale • Experience working on cloud • Contributions to open source repositories Company: SandboxAQ develops AI and quantum technology solutions that enhance biopharma, cybersecurity, and materials science. Founded in 2016, the company is headquartered in Palo Alto, California, USA, with a team of 51-200 employees. The company is currently Late Stage. SandboxAQ has a track record of offering H1B sponsorships. Seniority level

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