Location: Hybrid, New York 

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.

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 www.medidata.com.

About the Team:

Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI.

We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to a Director of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering.

Responsibilities:

• You are a Data Scientist who will design new AI-driven features integrated with Medidata products
• Develop and validate machine learning models for novel clinical trial applications.
• Develop prototypes that communicate how models can be used within customer-facing products.
• Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler.
• Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production.

Qualifications:

• Master's degree in Math, Statistics, Data Science, Computer Science, Physics, Bioinformatics or another quantitative field with a foundation in statistics
• Minimum of 2 years of experience
• Proficiency with machine learning techniques (e.g., classification, regression, and feature selection)
• Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git

Nice to have(s) but not required:

• Experience with LLM or transformer-based algorithms and methods
• Familiarity with GPUs, deep learning, cloud-based deployment, and software development
• Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps
• Experience with clinical trial data or large healthcare datasets

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 salary range for positions that will be physically based in the NYC Metro Area is $96,000-$128,000. 

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.

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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