Clinical Informatics Services Data Engineer Intern

About our Company :

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at .

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 have the opportunity to work alongside our talented and committed professionals helping them to build a strong foundation for achieving their career goals. For 12 weeks, beginning May 18, 2026, 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 Summer 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.

About the Team :

Clinical Informatics Services at Medidata encompass the development and maintenance of custom market differentiating solutions, including Custom Functions, complex reports, and data extracts, as well as integrations with external systems and Clinical Data Repositories. The team is responsible for performance optimization, application monitoring, and implementing DevOps automation for scalable deployments. They also manage quality control through rigorous testing and automation strategies. Additionally, Clinical Informatics Services provide strategic advisory, solution architecture, and client consulting, creating new offerings like Transition of services & other products. Innovation is driven through AI-based solutions, automation, advanced analytics while training and enablement programs ensure team readiness for emerging technologies.

Responsibilities:

• Develop and maintain digital health data pipelines

• Implement ETL processes focusing on efficiency and reliability

• Work together with the data scientists to help define healthcare data ingestion solutions

• Learn new technologies and their optimal application to our context

• Be an active interface with other R&D Groups

• Help to find the best dataset for specific business projects

• Communicate concisely using the most appropriate approach for each different stakeholder

• Prepare the data for machine learning, feature selection, evaluate the performance of algorithms with resampling, machine learning algorithm performance metrics, familiar with classification and regression, automate machine learning workflows with algorithms, improve performance with Algorithm tuning and ensembles

• Understand the data with descriptive statistics

• Understand the data with visualizations

• Work with raw or aggregated data (statistics) for development and innovation purposes

• Properly anonymize data sets that can be extracted and used in variety of use-cases

• Integrate data sets (Building the capabilities of embedding real-world data, synthetic controls into clinical development programs)

• Utilize multiple data collection modalities such as eCOA, Medication adherence devices, Wearable, Sensors

• Familiar with data handling strategies to: address illogical data directly from the source and how to “disqualify and/or flag” implausible data, identify and evaluate: data outliers, data trends such as the range, consistency, and data variability within and across sites, systematic or significant errors in data collection, potential data manipulation or data integrity problems

• Pattern recognition & process optimization (New data sciences methods to plan, predict and manage the risks in clinical trials based on both RCT & RWD)

• Drive the development of tools extracting meaningful insights to detect potentially unreliable data threatening the validity of the trial results

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in computer science, mathematics, engineering, or statistics

• Experience with Python, data modeling, wrangling and data visualization

• Familiarity with data analytics and analysis techniques

• Familiarity with AWS with a specific focus on data-oriented services

• Understand the implications of data context, quality, source, amount, and workflow

• Advanced analytical and technical skills to interrogate and mine high volumes of data from a variety of data sources

The salary range posted below refers only to positions that will be physically based in New York, NY 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, NY, may differ based on the local market data in that region. The base hourly pay range for this position is $32.00 - 37.00 an hour.

Equal Employment Opportunity :

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata 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, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Applications will be accepted on an ongoing basis until the position is filled.

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