Senior Specialist, Data Science

Scorpion Therapeutics; Pennsylvania; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Travel 10–15%

Job summary

Scorpion Therapeutics seeks a Senior Specialist in Advanced Process Analytics & Data Strategy to drive data-driven process insights for biologics manufacturing. You will develop analytics, enable monitoring and modeling, and collaborate across IT, scientists, and engineers to improve data quality and governance.

The role focuses on GMP-regulated biologics environments, data architecture across MES/LIMS/PI, and digital workflows for AI/ML models, with remote/hybrid work and 10–15% travel

Qualifications

• B.S. in Chemical/Biochemical/Bioengineering or related field.
• 5+ years of biopharma manufacturing experience.
• Proficiency in Python, SQL, and R for data analytics.
• Experience with process data systems and analytics tools.

Responsibilities

• Develop and optimize analytics solutions for biologics processes.
• Support process standardization across manufacturing sites.
• Build and maintain data architectures across MES, LIMS, and PI Historian.
• Enable process monitoring, modeling, and statistical analyses.
• Collaborate with IT, scientists, and engineers to improve data quality and governance.
• Contribute to digital workflows supporting PPM, CPV, and AI/ML models.
• Promote data standards and literacy across teams.

Skills

Python

SQL

R

Data governance

Biopharma GMP knowledge

Education

Bachelor's degree in Chemical/Biochemical/Bioengineering or related

Tools

PI Historian

Seeq

Power BI

MES

LIMS

Job description

Role

Senior Specialist in Advanced Process Analytics & Data Strategy within Biologics Science & Technology Platforms, focusing on data-driven process insights for biologics manufacturing.

Responsibilities

• develop and optimize analytics solutions
• support process standardization
• build and maintain manufacturing data architectures across systems like MES, LIMS, and PI Historian
• enable process monitoring, modeling, and statistical analyses
• collaborate with IT, scientists, and engineers to improve data quality, governance, and usability
• contribute to digital workflows supporting PPM, CPV, and AI/ML models
• promote data standards and literacy across teams.

Requirements

• B.S. in Chemical/Biochemical/Bioengineering or related, with 5+ years of biopharma manufacturing experience
• strong domain knowledge of upstream/downstream biologics processes, GMP environments, and process verification
• proficiency in Python, R, SQL, and data architecture concepts
• experience with process data systems and analytics tools (e.g., PI, Seeq, Power BI)

Preferred

• familiarity with biologics manufacturing data challenges, data platform standards, and GMP analytics support
• experience with data exchange with CMOs and cross-system data models

High-Value

biologics manufacturing, data science applied to GMP regulated processes, process monitoring (PPM, CPV), AI/ML, and digital transformation in biologics; remote/hybrid work, with about 10-15% travel.