Be the next big change > Dassault Systèmes

Be the Next Game Changer

Simulants Intern

United States, NY, New York
Internship
12/19/2022
531053
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Medidata: Power Smarter Treatments and Healthier People

 

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 1,900+ customers and partners access the world's most trusted 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 and follow us @medidata.

 

Job Description:

 

Program Overview:

The Medidata AI internship program is a competitive and comprehensive 12-week rotational program. We provide pioneering data and analytics products to most of the $100B pharmaceutical development industry and our team is made up of data scientists, statisticians, computer scientists, implementation designers, engineers, and business experts. 

We are looking for interns to be an integral part of this dynamic team, where you would drive innovative research, client-facing deliverables to collaboratively build new data science solutions. Our team leverages industry-leading data assets and analytical models to transform the clinical development industry, driving clinical and operational success for our clients and partners. 

Participation in the internship program requires that you are located in the United States for the duration of the internship program. Roles are based out of either New York City or Boston. This internship is intended for students who are currently pursuing a Master’s degree program in a quantitative discipline with an anticipated graduation date on or before June 2024, depending on their program. 

Position Overview / Project Description:

This project will require expertise in longitudinal datasets, machine learning, deep learning and NLP/NLU models to develop a state-of-the-art model to synthesize longitudinal datasets in the clinical trial domain and python programming.

This role will work alongside the Trial design team who specializes in building models to predict and label adverse events in clinical trial data across indications. 

 

This internship also offers a unique opportunity to participate in an Innovation Lab. This allows interns to partner with industry leaders and cross-functional teams to work on a real-world business problem that Medidata currently faces. All participants present their solutions to the leadership of the AI team, and the winner presents to the SVPs and CEO of Medidata and other key leadership.

Role responsibilities:

  • Performing research and development in the area of synthetic data generation

  • Analyzing and formulating data privacy metrics specifically differential privacy

  • Implementing and evaluating algorithms based on research literature

  • Creating, documenting, and maintaining code

  • Reporting findings to internal teams

 

Qualifications / Competencies: 

  • Proficiency in Python (with pandas) that allows you to be self-sufficient in analyzing tabular and longitudinal 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; Ability to multi-task in a fast-paced environment and prioritize deliverables to achieve results.

Education and Experience: 

  • Strong performance in an MS program in Data Science, Mathematics, Statistics, or Computer Science

  • Experience with Machine Learning methods and statistical analysis

 

The salary range posted below refers only to positions that will be physically based in New York City.  As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.  Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $32.00 to $37.00 per hr with a $3500 sign on bonus. 

 

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Equal opportunity

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Covid statement

Our Company requires all U.S. employees to be fully vaccinated against COVID-19 and to provide documentation of full vaccination, unless qualified for a medical, religious or state-required accommodation or otherwise exempt consistent with applicable law.  Although accommodation requests will be considered (and granted where appropriate/possible), it may be determined that a candidate is unable to adequately perform the essential functions of the position without imposing an undue hardship due to customer requirements, staffing needs, or other business reasons. Definition of full-vaccination: Employees are considered to be fully vaccinated two weeks after their second dose in a 2-dose series or two weeks after a single-dose vaccine.
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MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.

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