Principal Clinical Data Analyst Acorn AI Remote, United States

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.

Your Mission:

• Analyze clinical trial data to identify common patient populations based on demographics, disease characteristics, and other common data domains

• Represent the ‘face’ of our data asset to our commercial clients​

• Develop reporting and visualizations consumable by a variety of internal and external stakeholders

• Regularly interact with customers across the clinical landscape. Interactions include presenting results of analyses, reacting to changing client needs in real-time, and connecting data to real value for our clients

• Evangelize use of new technologies and industry-leading trends internally and externally

• Proactively identify new opportunities, markets, and pipelines for our data asset

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Your Competencies:

• Demonstrated proficiency in clinical data analysis or management, using any common data analytics language (Python, R, SAS, etc)

• Ability to rapidly understand new clinical / medical concepts, apply these to a data query or analysis, and describe / disseminate these concepts to others

• Outstanding independent problem solving skills

• Experience in a client-facing role, presenting data-driven output to a variety of audiences

• Strong understanding of the commercial clinical trials landscape

• Proficiency in CDISC data standards

• Experience with Rave EDC

• Experience with cloud-based computing (Amazon AWS, Snowflake)

Your Education & Experience:

• Bachelor’s degree in a quantitative or life sciences discipline; or 3 years and a Master’s degree; or equivalent experience

• Requires a minimum of 6 years of experience in a life science data / analytics role