SUMMER INTERN: ACORN AI LABS DATA SCIENCE

Key Skills

Python Programming, SQL, Regression Analysis, Machine learning techniques, R Programming, Data Classification, Statistical modeling

Job Description

Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes. More than one million registered users across 1,400 customers and partners access the world's most-used platform for clinical development, commercial, and real-world data. Medidata, a Dassault Systèmes company, is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at www.medidata.com.

Medidata is making a real difference in the lives of patients everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform.

Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. With this asset, we pioneer innovative, advanced applications and intelligent data analytics, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach waiting patients sooner.

The Program:

At Medidata, interns will have the opportunity to accelerate their careers by working closely with experienced professionals and gain valuable, hands-on, full-time work experience. By being a part of our global organization, interns will work alongside our talented and committed professionals helping them to build a strong foundation for achieving their career goals. For 12 weeks, beginning May 23, 2022, interns will have an opportunity to gain a deep understanding of what it means to be a Medidatian. United around a single goal of empowering smarter treatments and healthier people. Medidatians work in a culture of curiosity, innovation and fun. You will be contributing to the line of business with sustainable and meaningful work.

Our Internship Program also includes instructor led training, guided mentorship, exposure to senior leadership and community service. In addition to individual and specific related responsibilities, each intern will participate in our Intern Innovation Lab. Assigned to cross-functional teams, interns will work closely to develop an innovative solution to a business problem currently facing Medidata. As they work diligently to present their final solutions to a panel of top Medidata leaders, we are confident that our interns will make a significant impact on our business.

The Position:

• Conducting exploratory data analysis from complex, disparate data sources.
• Design, develop and validate statistical models for novel medical applications.
• Implementing and evaluating algorithms based on research literature.
• Creating, documenting, and maintaining code.
• Report findings to internal teams.

Qualifications / Competencies:

• Proficiency in Python or R, and SQL that allows you to be self-sufficient in analyzing data.
• Understanding of Machine Learning techniques (classification, regressions, and feature selection)
• Ability to apply statistical analysis techniques.
• Ability to think creatively, access and analyze data independently, and evaluate both the big picture and the key details effectively.
• Excellent interpersonal, verbal, and written communication.
• Strong time management and problem solving skills.
• Facility in multi-tasking in a fast-paced environment and prioritizing activities to achieve results.

Your Education & Experience:

• Strong performance in an MS program in Data Science, Mathematics, Statistics, Biostatistics, or Computer Science.
• Experience with statistical analysis. 
• Familiarity with data science techniques and the theory behind them.
• Knowledge of clinical trial data and/or large healthcare datasets is a plus.
• Rising or Graduating Senior