Analytical solutioning capabilities to solve high impact business problems.
Knowledge of the key business processes of fortune 500 firms in the pharmaceutical industry.
Awareness of commonly adopted data and tech landscape across business functions.
Ability to develop end-to-end enterprise data-science applications.
Strong technical execution capabilities, know-how of latest data and tech landscape, ability to debug / solve technical challenges and provide technology consulting and road map solutions for enterprise level implementations.
Should be passionate to build a team and own up the growth, i.e., Level of ownership of an engagement.
Behavioral and attitudinal skills :
Client and stakeholder communication management, problem breakdown and execution planning, technical thought leadership and work intent.
Intent to continuously learn, knack for exploration and research, curiosity to innovate and design out of box solutions.
As a data scientist and Shiny developer, you will take a leading role in developing, implementing, and applying advanced statistical analysis, machine learning, and data visualization techniques for clinical trial analysis. You will participate in a variety of software development activities for Shiny-based data products. This will include but will not be limited to design, development, testing, and documentation, using R and Shiny along with other web application tools and technologies.
Proficient coding skills in R / R Shiny.
Advanced skills developing and deploying R Shiny web applications.
Sound knowledge of the fundamentals of machine learning statistics.
Understand efficient coding standards and has a knack to plan for QC checks before coding.
Desired Skills &
Experience :
4 years of professional work experience developing and deploying Shiny web applications Advanced programming skills in R (including experience with the tidy verse suite of packages).
Knowledge of web development technologies including JavaScript, JSON, CSS, and HTML.
Proficient R debugging skills to reduce code bottle necks, optimize and refactor code base to improve efficiency, clean shiny reactivity and reduce overall memory usage.
Proficiency in Python programming.
Experience with SQL and data retrieval.
Ability to work in a highly collaborative environment as well as the ability to work independently with minimum supervision.
Be a champion R Shiny consultant to guide, discuss and implement best web development features to R Shiny applications.
Thinking out of the box implementation solutions (Generally, not found on Google Search).
Resourcefulness in solving problems and developing solutions.
Quick Learning and Implementation attitude.
Ability to take ownership of a technical challenge and see it through to a successful conclusion.
Excellent written and verbal communication skills.
Quantzig