Position : Junior Data Scientist

Location : Franklin Lakes, NJ

Duration : 5 Months

Total Hours/week : 40.00

1^st Shift

Client : Medical Devices Company

Level of Experience : Entry Level

Employment Type : Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)

Education:

Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline

3 Years working experiences, knowledge of Docker, R programming, and dashboard building

Job Description:

• In today’s fast evolving medical technology world, one aspect remains common – reliance on data to drive the next wave of innovation. The Data Scientist in HEOR-RWE will help advance client Real-World Evidence (RWE) strategy and help build the right analytics strategy for a range of Business Units and Functions.
• We are looking for a Data Science temp who is passionate about data and analysis tools, has the rigor needed to solve problems, and demonstrates curiosity and enthusiasm adopting new technologies to innovate.
• The person will report to Senior Principal Data Scientist in HEOR-RWE and be focusing on building interactive applications on Amazon Web Services (AWS) Cloud, automating data pipeline, and facilitating training.

Responsibilities:

In your role as a Data Science temp, you will use AWS Cloud cutting-edge technology to design/manipulate heterogenous data sets, and build or enhance applications in the areas listed below:

• Manipulate and merge data from different sources using programming language R.
• Create and improve efficiency of data pipelines on AWS Cloud.
• Build data visualization dashboards and add features and functionalities using AWS QuickSight.

• You will gain experiences working on healthcare clinical trials development industry, develop data driven solutions to increase clinical research efficiency.
• You will be working closely with other members of our Data Science team to deliver value to our business partners.

Education and Qualifications:

• Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline.
• Have 3 to 5 years of working experience building dashboards and using R for data manipulation.
• Experience of using Docker.
• Curiosity and enthusiasm about data related techniques.
• Exposure to AWS Cloud technologies.
• Ability to program in R.
• Proficiency in writing SQL queries to join tables and manipulate data.
• Test and assess the quality of new tools.
• Eager to learn a new set of tools in AWS Cloud and work on challenging problems.
• Strong verbal and written communication and presentation skills.
• Able to work with internal clients with minimal supervision.

Language Requirement

• Fluent written and spoken English

Work Environment

• Hybrid or Remote