Job Description
About the Day to Day Responsibilities of the Role:

• Work in a team responsible for developing cutting edge mathematical models to estimate the transmission dynamics of infectious diseases and mortality projection models, statistical, timeseries, and epidemiological techniques
• Gather relevant mortality and disease outbreak data and apply state of the art data science techniques
• Develop code and run stochastic modeling simulations; perform validation and verification of model output, based on the real data
• Collaborate with members of AIR’s marketing, sales, consulting, and product management teams to get solutions into the market
• Participate in client studies and consulting projects; respond to client questions; ensure that models adhere to regulatory standards

Qualifications
• Knowledge of health sciences, epidemiology, and biology
• Previous experience in biostatistics and biomedical data
• Strong background in data analysis, probability, and statistics (preferably including stochastic processes, time series analysis, regression modeling, Monte Carlo methods, etc.)
• Well-rounded knowledge of mathematical models related to the life and health
• Knowledge of machine learning algorithms and their applications in life and health
• Solid scientific programming skills, preferably including experience with C++, Python, R, and SQL
• Strong communication and presentation skills
• Critical thinking

Degree requirements:

• M.S. in a quantitative field (Ph.D. preferred)
• 2+ years of experience in mathematical modeling
• Background in health sciences, epidemiology, and biology

Additional Information
Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

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