RA with ICBI 2

Research Associate with ISB Centre for Business Innovation

Job Title:	Research Associate	Function:	ISB Centre for Business Innovation
Name of Job Holder:		Location:	Hyderabad
Reports to position:	Executive Director, ICBI	Band:	Contract
Reportees to Position:	None	No of Positions	2

Job Purpose

To conduct research activities in Business/Corporate Innovation in Large Organizations and contribute to centre’s research projects

Job Outline

ISB is looking for candidates with strong analytical and quantitative capabilities, and excellent communication skills. We seek applications from motivated individuals with a strong academic background to work as Research Associates at ISB. Research Associates (RA) generally go on to pursue Ph.D. in internationally renowned business schools after working at ISB for 2-3 years.

The candidate will:

Conduct Secondary and Primary Research in the areas of Innovation across different ecosystems, specifically focused on Business Innovation, Innovation Mindset Quotient
Collect and Analyze Data, Compile research including insights, validate/invalidate key assumptions and hypotheses that are developed through active research.
Assist in the ongoing research work which includes (but not limited to) data-collection, data-cleaning, literature review, data analysis and report writing.
Using statistical and machine learning techniques, build models that can be used to forecast future trends and outcomes.
Utilize programming capabilities (in Python, R, and STATA) towards data collection and analysis
Perform Quantitative and Statistical Analyses on data-sets collected.
Build Datasets through web-scraping and other resources.
Create research summaries in multiple formats, including spreadsheets, PowerPoint presentations, graphs, written summaries, reports, etc. summarizing the results of statistical analyses in a clear and concise manner, and presenting them to stakeholders.
Assist in writing for publication and the regulatory review process
Work with a multidisciplinary translational research team focused on initiatives related to Technology Commercialization and Corporate Innovation across different ecosystems (Governments, Foundations, Corporates, Industry Associations, Investors, etc.)
Design and conduct statistical analyses: This involves formulating research questions, choosing appropriate data sources, and performing complex statistical calculations to identify trends, relationships, and patterns in data.

You will truly grow in this role if you:

have entrepreneurial/innovative mindset
will be able to work with uncertainty and go above and beyond to exceed expectations
are Innovation-hungry and are willing to develop deep knowledge and experience in Business Innovation in Asia.
Love to process a lot of data/information and discover and articulate actionable insights
Enjoy to work on multiple priorities.
Are proactive and initiative-driven
Enjoy working with a highly collaborative and fast pace working environment
Have excellent written and verbal communication

Required Qualifications:

Strong interest in Innovation and Strategy
Graduate or Postgraduate degree with high CGPA.
Demonstrated excellence in written and communication skills
Knowledge of statistical, econometric and data visualization techniques
Well-organized, detail-oriented, well-networked and resourceful
A learning mind and ability to deal with ambiguity
Ability to multi-task and strong work ethics
Prior research experience is essential
An ideal candidate will be one planning to pursue a PhD subsequently.

Desired Skills and Experience

Strong knowledge of statistical techniques: This includes proficiency in regression analysis, time series analysis, panel data analysis, and other advanced statistical methods.
Familiarity with econometric softwares: This includes proficiency in using software such as Stata, R, SAS, or EViews to perform econometric analyses.
Programming skills: This includes proficiency in at least one programming language such as Python, MATLAB, or Julia, for automating tasks, processing large datasets, and developing custom models.
Knowledge of machine learning techniques: This includes understanding of algorithms such as decision trees, random forests, neural networks, and support vector machines, and how they can be used to make predictions.
Experience with big data tools and technologies: This includes knowledge of tools such as Apache Spark, Hadoop, and NoSQL databases, and the ability to process large datasets efficiently.
Knowledge of economics: This includes an understanding of macroeconomic principles, econometric theory, and the ability to apply this knowledge to real-world problems.