Senior Data Scientist

PowerToFly; New York (NY); Hybrid; USD 114,750 - 153,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

Disability insurance

401(k) matching

Family leave

Flexible paid time off

10 paid holidays

Job summary

Medidata is seeking an experienced Data Scientist to design, implement, and productionize AI-driven features integrated with its product suite. You will work closely with product, data science, and engineering teams to translate needs into scalable AI solutions.

You will develop prototypes, evaluate novel tools, and lead data scientists on implementations while shaping end-to-end pipelines from data to deployment for production use.

Qualifications

• Master's or PhD in a computational field with 5+ years of experience.
• Proficiency in Python, SQL, Linux shell scripting, AWS, Docker, and Git.
• Experience with AI service development and deployment, including model serving and latency considerations.
• Technical leadership and proactive communication across teams.
• Experience with LLM or transformer-based algorithms and validation methods preferred.
• GPU-based model deployment on AWS is a plus.

Responsibilities

• Design, implement, and productionize new AI-driven features integrated with Medidata products.
• Collaborate with product team to translate needs into AI solutions (data, modeling, serving).
• Develop prototypes demonstrating AI integration in customer-facing products.
• Evaluate new tools and methodologies to advance AI capabilities across teams.
• Build end-to-end AI pipelines from data curation to model deployment for production.

Skills

Python

SQL

Linux shell scripting

LLM

Transformer models

AI services

Model deployment

Education

Master's or PhD in Data Science/CS/Math/Stats

Tools

Docker

AWS

Git

Job description

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 following Company policy.

About our Company:

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 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 registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.

About the Team:

Medidata AI organization is building innovative AI products based on the largest collection of clinical data in the world.

We are looking for individuals who will solve the most complex questions facing the industry today with 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. This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering.

Responsibilities:

Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products

• Design, develop and validate machine learning models for novel clinical trial applications.
• Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving).
• 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 AI services promoting end-to-end pipelines from data curation, processing, model building, model evaluation, to model deployment for production.
• Lead junior data scientists in implementations of AI tasks and guide technical decisions across teams.

Qualifications:

Required:

• Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience
• Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git
• Experience with AI service development and deployment, familiar with different model serving strategies and service basics (performance, latency, scalability, etc)
• Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication
• Experience with LLM or transformer based algorithms and validation method is preferred
• Previous experience with deploying GPU based models to AWS is a plus

Nice to have(s) but not required...

• Experience in building agentic workflows
• Familiarity with NLP in healthcare data datasets in production
• Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps

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 New York is $114,750- $153,000.

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 benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.

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