Pharma R&D Project Management

TechDigital Group; Rahway (NJ); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology firm in New Jersey seeks a qualified candidate with experience in project management, business analysis, and data analytics within the pharmaceutical sector. Candidates should have a proven track record in bridging R&D and IT, expertise in Agile methodologies, and the ability to deliver impactful technology solutions. This position will support the Discovery Research and Data Science teams while optimizing workflow efficiency.

Qualifications

• Mandatory skills in Project Management, Business Analysis, Data Analytics.
• Experience in Pharma R&D domain, Drug Discovery, and Development systems.
• Strong analytical skills; ability to interpret and translate technical data.

Responsibilities

• Deliver impactful technology solutions in a scientific software environment.
• Support business continuity for Discovery Research and Data Science teams.
• Recommend optimizations for automation and workflow efficiency.

Skills

Project Management

Business Analysis

Data Analytics

Pharma R&D domain experience

Agile methodologies

SQL

Job description

Qualifications and Responsibilities

• Mandatory Skills: Project Management, Business Analysis, Data Analytics, Pharma R&D domain experience
• Experience with scientific software in the pharmaceutical sector, Drug Discovery and Development systems, expertise in scientific informatics, SDLC, and FAIR data practices.
• Proven track record in project management, strategic IT planning, and operational efficiency, with strong experience bridging R&D and IT through customer-facing initiatives.
• Experienced delivering impactful technology solutions, working closely with technical SMEs to integrate unstructured data into the existing application landscape.
• Business continuity for Discovery Research, Data Science, and Chem/Bioinformatics/Genomics teams while supporting scalable, repeatable IT practices to support Applications migration activities.
• Experience in requirements management, business analysis, and product analytics within a technical or scientific environment.
• Strong analytical and problem-solving skills; ability to interpret technical data and translate into actionable insights.
• Proficiency with Agile methodologies, backlog tools, and data analysis platforms (SQL, BI dashboards).
• Recommend optimizations for automation, scalability, and workflow efficiency.