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Mathematical Modeler - Czechia  

Company managed [?] Still accepting applications

Posted on : 09 June 2017

Project Description

Description
  • O is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products.   
  • Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.
  • Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. 
  •  To this end, we strive to create an environment of mutual respect, encouragement and teamwork.  
  • As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.
  • The Mathematical Modeler or Data scientist will work to support the decision makers and problem solvers in commercial business units, marketing, or global managerial functions like (controlling or finance).
  •  From time to time he/she will be assigned to the projects that is related to the vaccine, biologic and pharmaceutical manufacturing; and supply chain management. 
  • The Mathematical Modeler / Data scientist will develop and apply quantitative mathematical, machine learning, computational and statistical modeling and simulation methodologies to a wide range of problems in the commercial parts of the pharmaceutical industry. 
  • Work may include, but is not limited to: quantitative decision analysis, decision optimization, process simulation, root cause analysis, machine learning, desing of experiments, factor and driver analysis, segmentation, and prediction.


Primary job responsibilities include:
  • Understanding of the business challenge resp. business context of the decision to be supported
  •  Suggesting the appropriate mathematical approach
  •  Building mathematical or statistical models using the available data
  •  Assembly and use of scientific literature and experimental data to estimate parameters in mathematical models.
  •  Development of the (quality, documented, and reusable) SW code to run the analysis
  •  Use of tools such as R, SAS and/or SPSS, Matlab or Mathematica to design and develop analytical models for advanced techniques such as forecasts, simulations, and optimizations
  •  Interpret the results and provide the advises to the business stakeholders
  •  Assessment of the output of analytical solution and use the data to draw conclusions, identification of options, and making recommendations.
  •  Building and maintain of knowledge on the data sources, the data quality and metadata
  •  Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics
  •  Promotion of a culture of modelling and analytics as a differentiator and competitive advantage – an environment that places high value on embedding analytical tools within business processes, and using information in real time to make fact-based decisions.


Qualifications
Qualifications and Education Minimum Requirement:
  •  PhD or MSc Degree Degree in Mathematics, Statistics, Information Technology, Operations Research / Optimization, Machine Learning, Engineering, or other related field.
  • Desired Experience and Skills (not compulsory):
  • Passion for advanced analytics (mathematics) and applying it to help prevent and cure disease.
  • The ability to formulate models, analyze them, and program and run simulations in some appropriate system (for example R).
  •  Extensive knowledge in one or more of the following areas:  Mathematical analysis and modeling, probability, stochastic processes, econometry, graph theory.
  •  Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives.
  •  Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, Ability to interpret and use the analytics results within the real business context.
  •  Ability to work both independently and collaboratively within a globally dispersed team.
  •  Strong communication & collaboration skills with diverse stakeholders.


Offer:
Our employees are the key to our company’s success.  We demonstrate our commitment to our employees by offering a competitive and valuable rewards program.  Our Company’s benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives.

      
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