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Junior Machine Learning Scientist, Bioinformatics
jobright.com, New York, New York, us, 10261
Junior Machine Learning Scientist, Bioinformatics
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Junior Machine Learning Scientist, Bioinformatics
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Jobright.ai Junior Machine Learning Scientist, Bioinformatics
3 days ago Be among the first 25 applicants Join to apply for the
Junior Machine Learning Scientist, Bioinformatics
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Jobright.ai Get AI-powered advice on this job and more exclusive features. 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, headquartered in Palo Alto, California, USA, team size 51-200 employees, currently Late Stage. SandboxAQ has a track record of offering H1B sponsorships. Seniority level
Seniority level
Entry level Employment type
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Full-time Job function
Industries
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Join to apply for the
Junior Machine Learning Scientist, Bioinformatics
role at
Jobright.ai Junior Machine Learning Scientist, Bioinformatics
3 days ago Be among the first 25 applicants Join to apply for the
Junior Machine Learning Scientist, Bioinformatics
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. 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, headquartered in Palo Alto, California, USA, team size 51-200 employees, currently Late Stage. SandboxAQ has a track record of offering H1B sponsorships. Seniority level
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