What are the responsibilities and job description for the Engineer 2 - Software Engineering position at Mindlance?
The Data Scientist-R Shiny developer will contribute to development of Data Analytics, Visualization, Reporting a Statistical Analysis utilizing mainly R-Shiny. Specifically, the Data Scientist will create visualizations, dashboards, R Shiny reports, and data pipelines that integrate many types of data to create comprehensive visualizations and report-ready outputs.
Data Scientist (R Shiny Developer)
The Data Scientist (R Shiny developer) for BTDS (BioTherapeutics Development & Supply) will contribute to development of Data Analytics, Visualization, Reporting & Statistical Analysis utilising mainly R-Shiny. Specifically, the Data Scientist will create visualizations, dashboards, R Shiny report word outputs, and data pipelines that integrate many types of data to create comprehensive visualizations and report-ready outputs.
Highly Desirable Skills :
R and R-Shiny
Advanced Data Analysis Techniques
Desirable Skills
Database skills - Be comfortable querying a variety of database systems, SQLServer, Oracle, Impala.
Data Engineering - Be comfortable joining tables from different source systems, creating unions and parsing data
Report development using R
Knowledge of statistics
The competencies requirements include :
An R-Shiny developer is required with the ability to prioritize work independently to meet deadlines while managing changing priorities to meet customer's needs. Work independently on projects that will be both strategic and tactical in nature. Ability to provide strategic direction using innovation and creative solutions. Use effective internal / external influencing, interpersonal skills, negotiation, and conflict management skills to resolve relationship and project issues.
Qualifications
Bachelor's in Engineering, Computer Science, Science or Data Science.
R Shiny developer skills as a core competency.
2 years' experience working developing data analytics applications using R
Prior experience in Statistics or Data Science.
Programming knowledge in a scripting language in R is required for data manipulation and analysis.
Familiarity with testing procedures such as PQ / OQ, source data verification, UATs and unit testing is desirable.
Detail-oriented, highly organized, and able to manage multiple tasks.
Can work individually (independently) as well as on a team.
Have strong oral and written communication skills.
Additional technical competencies in Jira, Bitbucket, and other information technology systems are highly desirable.
EEO :
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans."
