Senior Data Science Engineer
United States - NY, New York
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.
Medidata is looking for individuals who will help us tackle some of the most complex questions facing the industry today using our proprietary platform and advanced analytics. At Medidata, we never work alone. This role will partner heavily with all of the key stakeholder functions including product, delivery, data science, engineering, partnerships, and biostatistics. Successful Medidata AI candidates will be skilled in analytical/quantitative thinking, structured communication, and excited about building the next horizon of Medidata’s mission to power smarter treatments and healthier people.
Who We're Looking For:
- 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.
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.
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.
The salary range posted below refers only to positions that will be physically based in New York City. 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 base salary pay range for this position is $114,750 to $153,362.
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 under the terms of applicable plan documents, while many of Medidata’s non-sales positions are eligible for annual bonuses. Additionally, Medidata provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most and should help you care for those who matter most. For that reason, we provide an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life.