Interested in being part of a small founding team, so you can see your direct impact on improving the healthcare industry? Want to be one of the rock stars building an innovative product from the ground up?
 
COMPANY
Validate Health is an early stage healthcare analytics company on a mission to improve accessibility to healthcare through industry transition to value based care. Validate was co-founded by a prominent healthcare actuary advising on matters of health economics policy and the entrepreneur-in-residence at the U.S. Department of Health & Human Services. Validate is building its analytics platform that encompasses the accumulated wisdom of its experts and clients, in order to empower medical organizations to manage their financial risk, while improving the clinical outcomes of their patients. We're looking for talented and driven contributors to join our team and be a part of this important moment in the healthcare industry.   
 
JOB DESCRIPTION
As a Data Scientist you would be at the forefront of enabling new value based healthcare models and deliver constantly evolving analytics services to the industry.  You’ll have an excellent opportunity for professional growth in the fields of healthcare economics, quantitative analytics and related technologies.
 
▪ Perform in scenario modeling, forecasting and simulations on large datasets.  Work on challenging problems in pricing, reserving and risk quantifications of commercial and government value based healthcare models.  Analyze clinical and demographic data on hundreds of millions of patients and hundreds of billions of entries. 
 
▪ Learn and apply rules and regulation around government healthcare programs, like Medicare and Medicaid. Learn and apply models for commercial programs and contracts.
 
▪ Use modern programming languages (such as Python, R, SQL, SAS) to work with large datasets to automate regulatory, economic and actuarial modeling. Gather and analyze large medical claims, public health datasets and financial data.  
 
▪ Participate in implementation, maintenance and analysis of models, forecasts, studies and systems which use actuarial principles for the purposes of pricing, underwriting, statistics, reserving and forecasting.
 
▪ Develop written and oral presentations that provide basic information for decision making. Participate in defining features and capabilities of analytical products.
 
▪ Continuously learn by experimenting with statistical models and investigating scalable data science technologies. Leverage a wide range of libraries and frameworks: Anaconda stack (Jupyter Notebook, NumPy, Pandas, MatPlotLib/Bokeh, SciPy, Scikit-Learn), Dask, Spark, TensorFlow, Apache Spark, Apache Airflow, several AWS services (EC2, RDS, S3, Lambda, Redshift), etc.
 
 
REQUIREMENTS

• BS or MS in Statistics from a top 20 university statistics program. 
• History of exceptional academic accomplishments or a portfolio of projects in statistics and relevant technologies.
• Desire to be an expert in healthcare economics and passionate about making an impact in this field. 
• Must be willing to try a fun "challenge" early in the interview process to help us understand your level of proficiency. We give you a handful of the problems like those we enjoy solving every day. It may cover statistics, data science topics (if relevant) and related technologies (such as Python, R and SQL).
• Remote applicants must be based in the US/North America

BENEFITS

• Remote first culture
• Fun, energetic, and rewarding learning environment
• Opportunity for continuous learning and experimentation through daily team whiteboard sessions
• Encouragement of personal projects
• Stock options 
• Salary that grows with the company
• Health coverage 
• Conveniently located in the Merchandise Mart in the Loop

TO APPLY

We are  currently only accepting candidates based in the US / North America and available for immediate full-time employment.

• Send in your latest resume to [email protected]. 
• Write a note explaining your long-term career goals and what makes you particularly interested in Validate and this position specifically. 
• Please include links to LinkedIn and GitHub if applicable, and any other links that you feel speak to who you are and your capabilities, such as publications, blog or portfolio.  
• Specify the date you’re available to start work, visa/citizenship status, and any sponsorship requirements. 
• Indicate that you’re willing to take an aptitude test. 
• Add “Data Scientist via BIC” to the subject line.