Data Scientist

Location: Hybrid

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: Powering Smarter Treatments and Healthier People

Medidata, a Dassault Systemes company, is leading the digital transformation of life sciences, creating hope for millions of people. 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 2,000 customers and partners access the world's most trusted platform for clinical development, commercial, and real-world data. Known for its groundbreaking technological innovations, Medidata has supported more than 33,000 clinical trials and 10 million study participants. Medidata 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 on LinkedIn, Instagram, and X.

About the Team:

Medidata 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 the 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 is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 2 years of experience
• Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git
• Experience with deep learning

Nice to have(s) but not required.

• Experience with LLM or transformer-based algorithms and methods
• 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.

• The salary range for positions that will be physically based in the NYC Metro Area is $96,000 to $128,000.
• The salary range for positions that will be physically based in the California Bay Area is $101,250- $135,000.
• The salary range for positions that will be physically based in the Boston Metro Area is $94,500 - $126,000.

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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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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.