Candidates must have a degree in a quantitative field, strong statistical and computation skills, experience with machine learning, Git, and ideally NLP, as well as familiarity with Linux and containers.

The Data Science intern at Medidata Solutions will be responsible for transforming business challenges into data pipelines and model frameworks, utilizing statistical tools and programming languages like Python and SQL to handle data independently, and applying machine learning and natural language processing techniques to drive successful projects and shape decision-making through effective communication.

Software Engineering

United States

New York City

Large

Medidata is leading the digital transformation of clinical research, creating hope for millions of patients. Our unified platform combines AI powered insights with unrivaled patient-centric clinical trial solutions to help pharmaceutical, biotech, medical device and diagnostics companies, as well as academic researchers accelerate value, minimize risk, and optimize outcomes.

Medidata is the first life sciences tech company to surpass 30,000 trials and 9 million participants. We’re powering smarter treatments and healthier people, with over 1.5 million registered users across 2,000+ customers and partners harnessing the world's most trusted clinical trials software for clinical development, commercial, and real-world data.

We are a Dassault Systèmes company (Euronext Paris: FR0014003TT8, DSY.PA) headquartered in New York City with offices around the world. See why experience matters at www.medidata.com and follow us on Twitter (@Medidata) and Instagram (@medidata.solutions).

Technology

Medidata Solutions

Powering Smarter Treatments and Healthier People

<ul><li>The central mission of Medidata’s Platform Data Sciences (PDS) team is to collaborate across numerous platform organizations to bring machine learning, artificial intelligence, and data science expertise to their solutions. Among those solutions, Medidata’s family of Regulated Content Management (RCM) solutions are centered around the storage and submission of electronic documents. Currently, the Platform Data Science&nbsp;team is partnering with the RCM team to introduce new machine learning capabilities to their solutions portfolio. Beginning with the Electronic Trial Master File (eTMF) solution, the current project aims to leverage machine learning and natural language processing to classify documents into distinct document types to enable automated filing of these documents under the eTMF file plan. The summer intern will partner with the data science team to aid in the development of the machine learning pipeline and evaluation of newly generated predictive models.</li></ul>

Bachelors

Masters

The central mission of Medidata’s Platform Data Sciences (PDS) team is to collaborate across numerous platform organizations to bring machine learning, artificial intelligence, and data science expertise to their solutions. Among those solutions, Medidata’s family of Regulated Content Management (RCM) solutions are centered around the storage and submission of electronic documents. Currently, the Platform Data Science team is partnering with the RCM team to introduce new machine learning capabilities to their solutions portfolio. Beginning with the Electronic Trial Master File (eTMF) solution, the current project aims to leverage machine learning and natural language processing to classify documents into distinct document types to enable automated filing of these documents under the eTMF file plan. The summer intern will partner with the data science team to aid in the development of the machine learning pipeline and evaluation of newly generated predictive models.

Data Science Intern

Requirements

Responsibilities

Medidata Solutions

Mission & Purpose