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.
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.
The Data Science team supports multiple products and custom managed services for clinical trial design and planning. Projects will be aligned with the interests and skill set of the intern and business needs at the time of the internship. Example projects include: developing severe adverse event prediction models from real world data, including feature engineering and model interpretation; developing predictive models to accelerate drug commercialization; developing patient level data visualization toolkits; engineering features for forecasting diverse clinical trial recruitment; and using optimization methods for clinical trial recruitment site selection.
This role will work alongside the Data Science, data engineering, and customer engagement teams. Depending on the project this role will also work closely with the Trial Design, Commercial Analytics, or Intelligent Trials data science and product teams.
Interns will gain experience in the following areas: manipulating, analyzing, and interpreting large clinical trial datasets at the patient and clinical trial operational levels; developing machine learning and statistical models; coding best practices and effective collaboration across teams and roles; and the ability to turn data insights into business value.
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.
Conducting exploratory data analysis from complex, disparate data sources.
Designing, developing and validating statistical models for novel medical applications.
Implementing and evaluating algorithms based on research literature.
Creating, documenting, and maintaining code.
Reporting findings to internal teams.
Qualifications / Competencies:
Proficiency with Python 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
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, 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
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.
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.