Computational Analyst Summer Intern

At Bayer we’re visionaries driven to solve the world’s toughest challenges and striving for a world where Health for all Hunger for none’ is no longer a dream but a real possibility. We’re doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference there’s only one choice.

Computational Analyst Summer Intern 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role Computational Analyst Intern are to: 

• Collaborate in a multidisciplinary computational science team to collect user requirements develop specifications and verify functionality and usefulness of the proposed analytical and technological solutions prior to full development;

• Identify and optimize a use case in the Oncology clinical development operations environment by utilizing Machine Learning / Natural Language processing (NLP) or Natural Language Generation (NLG) methodologies;

• Provide statistical programming support to develop data science applications based on clinical datasets to solve complex data problems and develop new data services for our customers in Oncology SBU R&D;
• Support preparation of the documentation of newly developed data science applications;
• At the end of the internship the intern will present their research project to the Oncology Data Analytics department and few team members from other functions.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently enrolled in a Bachelor’s Master’s or Ph.D. program in Computer Science Computer Engineering Mathematics Biomedical Informatics Information Systems or related quantitative fields;
• Must have excellent oral and written communication & interpersonal skills;
• A good understanding of Statistics Data analysis data visualization or related field as demonstrated by current or prior coursework or independent research experience;
• Proficiency in one or more of the following: R / R-Shiny Python SAS;
• Familiarity with data transformations visualization analysis and predictive modeling;
• Must be available to work full time from May/June through August/September 2022.

Preferred Qualifications:

• Machine learning and/or NLP/NLG experience;
• Experience with web development (HTML JavaScript etc.)
• Good knowledge of Knowledge graphs and linked data.