Job Title: Data Collection & Data Extraction

Location: Cambridge MA

Duration: 18 Months

Description:

Onsite

Top 3 Must Have Skill Sets:

• Prefer experience post graduation

•Technical writing

Experience performing data analysis. (Power BI, Tableau, Spotfire)

• Interest in working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.

• Strong communication skills and ability to demonstrate and relay technical concepts to different audiences.

Key Responsibilities:

Data Collection and Extraction:

• Retrieve and preprocess data from various sources, such as databases, APIs, and flat files.

• Initiating and supporting the digitalization of experimental workflows.

• Identify areas for improvement, enhance efficiency, and reduce errors in streamlining data capture to reporting.

Data Visualization:

• Create informative data visualizations using tools like PowerBI, Tableau, and Spotfire.

• Communicate findings to technical and non-technical stakeholders through charts, graphs, and dashboards.

Collaboration and Reporting:

• Collaborate with cross-functional teams to understand their data requirements and provide data-driven solutions.

• Generate regular reports and presentations to communicate insights and recommendations.

• Perform report validations

• Perform system installation qualification and operational qualifications

• Create documentation to support digital processes, systems, or stakeholder needs.

Basic Qualifications:

Bachelor's degree in Engineering plus 2 years of engineering or data analysis experience

Or

Master's degree in Engineering

Requirements and Skills:

• Experience performing data analysis.

• Interest in working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.

• Strong communication skills and ability to demonstrate and relay technical concepts to different audiences.

• Ability to manage multiple, competing priorities simultaneously.

• Ability to deliver work in a fast-paced, multi-project team-oriented environment.

• Ability to work in highly collaborative, cross-functional environments.

Preferred Qualifications:

• Experience with data science libraries.

• Experience in programming languages, such as Python or R.

• Experience with combination products, device regulatory requirements, medical device development and engineering, and process controls.

• Provide Digital and Data expertise for the different product teams to ensure consistent data model and FAIR (Findable, Accessible, Interoperable & Reusable) data design across the various capabilities implemented.

• Identify improvements required to data and attribute models and drive engagement with internal and external stakeholders (incl. software vendor) to obtain enhancements.

Basic Qualifications

Master degree OR Bachelor degree and 2 years of experience OR Associate degree and 6 years of experience OR High school diploma / GED and 8 years of experience