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Urgent! Data Integrator Job Opening In New Brunswick – Now Hiring Sunrise Systems



Job description

Job Title: Data Integrator

Duration: 12 months Contract on W2 (possible extension based on performance)

Location: New Brunswick, NJ

Hybrid position


Work Schedule: Mon-Fri: 8am -5 pm




Job Description:

Must Haves:

  • 2+ years' 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
  • Strong problem-solving and analytical skills to handle complex data challenges and provide data solutions




Product Development (PD) at Client is committed to accelerating CMC development to launch through strategic investments in Client development and manufacturing platforms, new development playbooks, and advancing innovation though modeling, AI/ML, and automation.

These specific strategic investments are known as our Development Excellence strategy.

As part of this strategy, Product Development Operations is accountable for developing a holistic digital and modeling strategy and its global integration and implementation.


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.


Responsibilities

  1. Collect, streamline, and curate data from multiple structured and unstructured sources (data warehouses, spreadsheets, PDFs, slide decks, etc.).
  2. 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).
  3. Apply data standards, ontologies, and metadata to facilitate data integration, automation, and analysis.
  4. Ensure data quality, consistency, and completeness across different data sets.
  5. Collaborate with business partners to identify data sources, understand data requirements and challenges, and provide data solutions.
  6. Communicate and translate between business leaders and data engineers.
  7. Support data discovery, access, and sharing across the organization.


Qualifications:

  • 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.


Additional Job Requirements:

None



Required Skill Profession

Mathematical Science Occupations



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