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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data Integrator

Job Description

  • Location: New Brunswick, New Jersey
  • Type: Contract
  • Job #82070

Our client, a leading pharmaceutical company, is hiring a Data Integrator, on a contract basis.

Job ID #: 82070

Work Location:  
New Brunswick, NJ– 50% on site

Summary:
We are seeking a highly motivated individual as a data integrator. In this role, the data integrator will be responsible for identifying sources, collecting, streamlining, and curating data for use in analysis and predictive models across a range of business use cases to drive efficiency. The role will participate in highly visible and agile cross functional teams with scope spanning the digital and modeling space. They will collaborate closely with partners within PD such as clinical supply operations and product development operations, as well as with business partners such as Finance, Strategic Sourcing & Procurement, Supply Chain, and IT. This role will report to the Associate Director, Product Development Operations.

Education/Experience:

  • Bachelor’s degree or higher in a relevant field such as chemical engineering, life sciences, data science, or computer science.
  • 2 Experience in a hands-on data integration and analytics role, preferably in the pharmaceutical industry or related domain.
  • Proven experience working with large datasets, data integration and transformation tools, statistical software packages and platforms (e.g., R, Python, advanced SQL, Domino, AWS, GitHub).
  • Strong proficiency in designing, developing, and maintaining interactive dashboards and reports in Tableau, Power BI, or other data visualization tools that provide insights to business users.
  • Excellent communication and interpersonal skills to work effectively with diverse stakeholders.
  • Strong problem-solving and analytical skills to handle complex data challenges.
  • Self-motivated and proactive to learn new skills and technologies.
  • Experience with major business/technical applications (e.g., SAP, LIMS) is preferred.
  • Familiarity with data standards, ontologies, and metadata for pharmaceutical CMC organizations is a significant plus.
  • Proficiency in predictive modelling, simulation, and optimization is beneficial.

Responsibilities:

  • Collect, streamline, and curate data from multiple structured and unstructured sources (data warehouses, spreadsheets, PDFs, slide decks, etc.).
  • Support identification of appropriate data sources for the project objectives, acquiring, integrating, and storing the data for the project, conducting appropriate analyses, and delivering results (in some instances visualizing results in platforms such as Tableau or Power BI).
  • Apply data standards, ontologies, and metadata to facilitate data integration, automation, and analysis.
  • Ensure data quality, consistency, and completeness across different data sets.
  • Collaborate with business partners to identify data sources, understand data requirements and challenges, and provide data solutions.
  • Communicate and translate between business leaders and data engineers.
  • Support data discovery, access, and sharing across the organization.

Pay Range: $62-$64/hr

 

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