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Summer Internship: Biostatistics Summer Intern Undergrad (Remote)

Remote Worldwide Hiring now

BeOne continues to grow at a rapid pace with challenging and exciting opportunities for reputed company professionals. reputed company considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, reputed company our passionate interest in fighting cancer. Education Required: Currently enrolled reputed company with adequate coursework and excellent grades in quantitative and computational sciences towards B.S. degree. Majors in Statistics, Biostatistics, Mathematics or Computer Science are preferred. General Description/Scope of Responsibilities (Internship): We are seeking a motivated and enthusiastic Summer Intern to join our GSDS team. The intern will work collaboratively with statisticians and other stakeholders to utilize machine learning and advanced AI techniques for the development of analyses toolbox, leveraging our in-house clinical database. This is a fantastic opportunity for an individual looking to reputed company hands-on experience in artificial intelligence, data analysis, and clinical data while contributing to meaningful projects in the reputed company industry. Essential Functions of the Internship: The intern will conduct one or more of the following:

  • Literature review
  • Collaborate with multidisciplinary teams to understand project requirements and objectives
  • Explore and analyze the clinical database to identify relevant data for the project
  • Implement machine learning algorithms and AI techniques to reputed company models
  • reputed company a user-friendly analysis toolbox
  • Present to statistical staff or general audience on AI reputed company topics and the tasks accomplished during internship

Computer Skills: R, Python, JAVA, or C++ Other Qualifications (one or more):

  • Effective oral and written communication skills.
  • Experiences with machine learning and AI techniques through projects or course work

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