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 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:

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 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 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 the Director of Data Science, 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

• Ability to design, develop and validate AI solutions 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.
• Fluency in statistical tools and programming languages that allow you to be self-sufficient in handling data (e.g. Python, SQL, bash script)
• Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production.
  
  

Qualifications:

• 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 1 years of experience
• Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git
• Experience with machine learning techniques (classification, deep learning, etc.)
• Experience with AI service development, has basic knowledge of model serving strategies and API service (performance, latency, scalability, etc)
• Experience with deep learning is preferred
  
  

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
  
  

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.

Inclusion statement

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.

Salary Pay Transparency

Compensation for the role will be commensurate with experience. The total expected compensation range will be:

• New Jersey : $96000-$128000
• New York : $96000-$128000
  
  

representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.