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Data Scientist

Company: Medidata Solutions
Location: Boston
Posted on: May 16, 2022

Job Description:

Medidata's journey started in 1999 when a scientist working on his first clinical trial waded through inefficiencies and delays - and knew that technology could improve the process. Almost 20 years later, we've grown to be the leader in clinical technology. Today, Medidata pioneers innovative, advanced applications and intelligent data analytics, bringing a new level of quality and efficiency to clinical trials. That means better treatments reach waiting patients sooner. In 2019, we launched Acorn AI to meet changing biopharma need as companies rapidly progress to the age of precision medicine. Acorn AI is one of the largest AI companies exclusively dedicated to life sciences. It is 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 300 PhD/Masters data scientists, engineers, analytical product leads, engagement managers, former FDA biostatisticians and computational genomicists. Acorn AI is looking for data scientists who will help us tackle some of the most complex questions facing the industry today using our proprietary Acorn platform and advanced analytics. In this role, you will research and develop statistical models. At Acorn AI, we never work alone. This role will partner heavily with all of the key stakeholder functions including Product, Data Science, Engineering, Partnerships and Biostatistics. 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. Your Mission: Solve some of the most complex problems in healthcare, translating complex data into meaningful insights Design, develop and validate statistical models for novel medical applications. Areas of team focus include design, optimization and meta-analysis of clinical trials - Provide support functions around model-building, including data cleaning, code review, & reporting Productionalize developed methods and code for integration with existing/new products Work directly with our team comprised of the brightest minds in technology, research and mathematics as well as senior interfaces from leading life sciences companies across the globe Fluency in programming languages (Python, R, SQL) that allow you to be self-sufficient in analyzing data Proficiency with machine learning techniques (e.g., classification, regression, feature selection, etc.) and ability to support predictive model builds and deployments Demonstrated ability to collaborate with all levels of data science, technology personnel and senior leadership Excellent presentation and communication skills to all levels of technical & non-technical audiences Entrepreneurial spirit and commitment to creating rigorous, high-quality insights from data at scale Your Education & Experience: Masters or Ph.D. in Math, Statistics, Data Science, Computer Science, Physics, Bioinformatics or another quantitative field with strong foundation in statistics 2-3+ years of experience with statistical analysis & predictive modeling Experience using Git version control Experience with clinical trial data and/or large healthcare datasets is a plus
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. - You have been redirected to a Medidata Solutions job page

Keywords: Medidata Solutions, Boston , Data Scientist, Other , Boston, Massachusetts

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