Be the next big change > Dassault Systèmes

Be the Next Game Changer

Senior Data Science Engineer

United States, NY, New York Regular 6/10/2022 999008549

Medidata: Power Smarter Treatments and Healthier People

Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. 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 1,900+ customers and partners access the world's most trusted platform for clinical development, commercial, and real-world data. Medidata, a Dassault Systèmes company, is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at and follow us @medidata.

Our Team:

(Provide a summary of what the team does and how it fits into the overall R&D/Product world within Medidata. Example: Our team is responsible for Medidata’s data platform. Our customers depend on our ability to process and analyze large quantities of data in real-time. We focus on solving complex real-world problems while shipping practical solutions. What we do is as much art as it is science, and as Steve Job put it, “Real artists ship.” 

We’re building our platform on top of a few core principles and technologies:

A single unified view of data. We bridge the gap between business and internal product teams by speaking a ubiquitous domain language. Exposing our domain model as a GraphQL API, our teams can consistently access data across the platform, ignoring the underlying details of how this data is stored. Event Streams as a Source of Truth. etc…)   

Who we’re looking for:

(Here is where you describe what we’re looking for in a candidate. Try to be less prescriptive, rather describe the environment and what they’ll be responsible for doing. This helps us not eliminate fantastic candidates which might not check a particular box (i.e. 10 years of Java experience, but they have 8 years of Kotlin on the JVM). Also, where we can, try not to use exact years of experience. Experience isn’t the same for each person. Someone with 4 years of experience in a fast moving startup with advanced technologies and lots of responsibilities, would have learned more than someone with 20 years in a rigid role at a large company.)

Your Mission:

Power smarter treatments and healthier people with innovative data analytic applications.

Develop advanced cloud (AWS) based data systems to extract, assess, integrate, transform, clean, analyze and visualize datasets for complex analytics and statistical modeling.

Create automated data flows for research and production settings with data science engineering best practices, transparency, and scalability.

Solve complex business questions where situations or data require in-depth evaluation of variable factors.

Assess analytical data sources, conduct hands-on exploration to determine their value, and make them available enterprise-wide.

Collaborate with data engineers, data scientists, software engineers, business leaders and cross-functional stakeholders to implement data science engineering solutions based on business priorities and technology initiatives.

Your Competencies:

Advanced skills in modern data architecture, data science engineering, data modeling and data quality using state-of-art cloud computing technologies (AWS).

Hands-on experience in the latest breed of data ETL, automation and CICD technologies including Python, SQL and Git in a cloud setting. Experience with cloud-native data warehouse technologies like Snowflake is preferred.

Strong skills in data analysis, insight generation and manipulation of structured and unstructured data sources. Experience with automated data quality frameworks is a plus.

Demonstrated ability to collaborate with all levels of data science engineering technology personnel and senior leadership.

Clear, concise communication abilities – writing, verbal, presentation – to all levels of technical and non-technical audiences.

Entrepreneurial spirit and commitment to creating rigorous, high-quality insights from data, at scale.


Requirements (Education & Experience):

  • Undergraduate degree in a technical or engineering field, such as Data Engineering, Data Science, Data Analytics, Computer Science or Software Engineering. Masters degree is a plus.

  • 3+ years professional experience as a cloud data engineer, data scientist or related role.

  • Experience with clinical trial data is not required, but interest to learn and understand how these data drive medical research is paramount.

 Medidata requires all U.S. employees to be fully vaccinated against COVID-19 and to provide documentation of full vaccination, unless qualified for an accommodation as determined by Medidata, consistent with applicable law. Although accommodation requests will be considered (and granted where appropriate/possible), it may be determined that a candidate is unable to adequately perform the essential functions of the position without imposing an undue hardship on Medidata due to customer requirements, staffing needs, or other business reasons.

Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. 

Not available

Equal opportunity

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.
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MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.