Be the next big change > Dassault Systèmes

Be the Next Game Changer

Senior Data Engineer

United States, NY, New York
Regular
7/12/2022
999008415

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 www.medidata.com and follow us @medidata.

 

Our Team:

  • 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.

 

Who we’re looking for:

  • 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.  

#LI-KH1

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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.

Covid statement

Our Company requires all U.S. employees to be fully vaccinated against COVID-19 and to provide documentation of full vaccination, unless qualified for a medical, religious or state-required accommodation or otherwise exempt 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 due to customer requirements, staffing needs, or other business reasons. Definition of full-vaccination: Employees are considered to be fully vaccinated two weeks after their second dose in a 2-dose series or two weeks after a single-dose vaccine.
MEDIDATA Logo > Dassault Systèmes

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.