Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Core Skills:
Technical Skills:
o Bachelorโs or Masterโs degree in Statistics, biostatistics, epidemiology or related discipline with 5 years of experience in utilizing large scale data research, predictive modeling, statistical analysis, data transformation and / or other analytical role developing insights for use in business decisions
o Prior relevant experience with healthcare data working as a statistician in a consultancy, CRO or pharmaceutical /biotech
o Experience with Bayesian statistics, generalized linear models, (network) meta-analysis, survival analysis, propensity score matching
o Good exposure to US and global markets with a strong grasp of the fundamental concepts pertaining to HEOR
o Strong understanding of economic and predictive modeling approaches and tools and their application to business problems
o Identify the key objectives and outcomes of the study and develop detailed statistical analysis plan
o Good knowledge on Data Visualization Tools
o Attitude to work well as a team member and to build and manage relationships in a multi-cultural environment
Roles and Responsibilities
Generic:
Work with clients to construct business problems, develop data models and algorithms that deliver meaningful insights to drive business solutions
Provide statistical analysis services related to HEOR. Fulfill the responsibilities of study statistical analyst as required
Identify data sets required to develop predictive models for solving business problems
Explore existing data and recommends additional sources of data for improvements
Wherever applicable, develop, validate and finalize the study specific list of table and table shells for HEOR study reports and for study specific deliverables
Wherever applicable, provide input in finalization of study specific data quality control plan and ensure appropriate data analysis and reporting
Involve in creation and dissemination of study findings through technical papers, posters and presentations
Support the development of proposals for new projects/ opportunities
Should be a self-starter and capable of operating on minimal management oversight
Ability to work under pressure to meet agreed deadlines
Project specific:
Manage the entire cycle end to end – Definition of business questions and hypotheses, to data sourcing and preparation, model development, and insight generation.
Should be fully independent in data analytics
Identify all the available data and extract data in a usable format.
Wrangle, Clean, and analyses the data using programming routines (R, Python) to develop datasets.
Develop data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Perform required analysis on data sets and develop algorithms and predictive models to derive insights and business value from data
Coordinate with different functional teams to implement models and monitor outcomes
Create data visualization and stories to effectively communicate analytical results, key insights to support business decisions
Present results, summaries, and analytical techniques to clients.
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