Career

Senior Data Scientist (Remote, NYC)

Software Development

United States - NY, New York

Requisition ID

999008622

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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: 

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 Were Looking For: 

Medidata 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.

Medidata 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.

Requirements (Education & Experience): 

  • 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

  • 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

  • Experience with standardization of clinical trial data using industry standards (e.g., SDTM, ADaM) is a plus

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 $114,000 - $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.

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.

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Equal Employment Opportunity

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata 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, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata 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.

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