Engagement Associate
Medidata: Conquering Diseases Together
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 1,400 customers and partners access the world's most-used 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.
Acorn AI is one of the largest AI companies exclusively dedicated to life sciences. It’s built on Medidata’s platform that includes the industry’s largest structured, standardized and growing clinical trial data repository consisting of 20,000+ trials and 6M patients. Our team is composed of over 40 PhD/Masters statisticians, data scientists, analytical product leads, former FDA biostatisticians and computational genomicists.
Your Mission:
Medidata Acorn AI’s Delivery Team is looking for individuals who will help us tackle some of the most complex questions facing the industry today using our proprietary AcornAI platform and advanced analytics. In this role, you will engage with clients throughout projects to ensure the best analytical approach, successful delivery, and client satisfaction. At Medidata AcornAI, we never work alone.
This role will partner heavily with all key stakeholder functions, including Product, Data Science and Engineering, Research, and Partnerships. Successful candidates will be skilled in analytical/quantitative thinking, structured communication and excited about building the next horizon of Medidata’s journey of powering smarter treatments and healthier people.
Work with a multi-disciplinary team comprising diverse stakeholders to gather and analyze information, formulate research questions, generate and test hypotheses, and communicate the findings and recommendations on some of the most complex issues faced by the healthcare industry today
Formulate, perform and disseminate share analytic findings to guide internal strategy and external client decision making
Drive problem-solving with product owners, researchers, data scientists, and other stakeholders to identify the analytics needed to answer client questions and generate impact in line with our mission
Plan workstreams; track and communicate progress and decisions clearly; triage issues to the appropriate internal stakeholder; ensure timely, effective, and accurate issue resolution
Develop external communication materials, translating and summarizing technical information for business audiences, and developing key messaging
Create processes so that each project is easier and faster than the last one
Your Competencies:
Experience analyzing data at the patient, physician, or payer level (e.g., electronic medical records, clinical trials, registry data, administrative claims, specialty pharmacy, wholesale, etc.)
Experience with SQL and familiarity with R / Python / SAS
Strong project management (including structuring, estimation, execution, monitoring, and escalation) and a relentless drive to get things done
Can drive forward even amidst ambiguity (people, process, data) and complexity
Ability to synthesize analytical insights and process issues and effectively communicate them to mid-to-senior level internal and external stakeholders
Willing to master the detail when you need to but also zoom out and have a view on how to shape the bigger picture
Outstanding structured and critical thinking
A passion for understanding and addressing complex issues with a data-driven approach
Your Education & Experience:
Advanced degree in Epidemiology, Biostatistics, Public Health, Pharmacoeconomics, Health Services Research or equivalent. Ph.D. is a plus.
2+ years of work experience outside coursework in one of the following types of highly structured or scientific environments: academia, management/healthcare consulting, life sciences, data and analytics role
The Following Will Be Helpful But Are Not Essential
Experience with open-source common data models (e.g., OHDSI/OMOP, CDISC/SDTM/ADaM, Sentinel, etc.)
Experience working in Life sciences or across the healthcare value chain
An entrepreneurial drive and a passion for advancing the development of new treatments
Enjoy experimenting and iterating on different ways to solve a problem
A strong analytical background and the ability to quickly digest and evaluate complex analyses with a keen eye for detail
Medidata is making a real difference in patients’ lives everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of the most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform.
Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. We pioneer innovative, advanced applications and intelligent data analytics with this asset, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach patients sooner.