Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS)

Scorpion Therapeutics; Spring House (PA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Vacation 120h/yr

Sick time 40h/yr

Floating holidays 13d/yr

Personal/Family time 40h/yr

Parental leave 480h/yr

Bereavement leave 240h/yr

Caregiver leave 80h/yr

Volunteer leave 32h/yr

Military spouse time-off 80h/yr

Job summary

Scorpion Therapeutics is seeking a Data Scientist – Data Engineer in our R&D DDSAI team located in Spring House, PA. You will design, build, and optimize data capture, processing, and storage to enable advanced analytics, digital transformation, and AI/ML across the development-to-supply continuum.

You will partner with data scientists and domain experts to define data products, implement scalable pipelines, and ensure data quality, versioning, and traceability in regulated environments.

Qualifications

• Advanced degree in Engineering, Data Science, Life Sciences or CS; advanced degree preferred.
• 3+ years data engineering experience in scientific/manufacturing/healthcare.
• Proficiency with Python, R, SQL and cloud data stacks (AWS, Snowflake, Redshift).

Responsibilities

• Design, build, and maintain scalable data pipelines across lab systems, MES, clinical supply, and quality systems.
• Create optimized data flows using Python, R, SQL, DBT, cloud services and modern tools.
• Build and maintain TDS data repositories; implement enterprise data models.
• Ensure AI/ML readiness with well-structured, versioned data.
• Partner with data scientists to define data products and engineering requirements.
• Establish data quality standards and KPIs; implement data versioning and lineage.
• Follow DevOps, docs, and code versioning best practices.

Skills

Advanced Analytics

Data Analysis

Data Quality

Data Reporting

Data Science

Data Visualization

Digital Fluency

Critical Thinking

Technical Credibility

Workflow Analysis

Data Privacy Standards

Education

Advanced degree in Engineering/Data Science/Life Sciences/CS or related

Tools

Python

R

SQL

AWS

Snowflake

Redshift

NoSQL

Graph databases

Job description

Position Summary:

Data Scientist – Data Engineer (R&D DDSAI – Therapeutics Development & Supply, TDS). Design, build, and optimize data capture, processing, and storage solutions enabling advanced analytics, digital transformation, and AI/ML across the development-to-supply continuum.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines integrating TDS data from lab systems, MES, clinical supply, quality systems, and external partners.
• Create/optimize structured and unstructured data flows using Python, R, SQL, DBT, cloud services, and modern engineering tools.
• Build and maintain TDS data repositories; implement enterprise data models.
• Ensure AI/ML readiness (well-structured, versioned, traceable, semantically aligned data).
• Partner with data scientists and domain experts to define data products and engineering requirements.
• Implement semantic/knowledge graph models and future-proof architectures.
• Establish data quality/performance standards; define KPIs (accuracy, completeness, consistency).
• Apply data versioning and lineage for compliance, traceability, and audit readiness; follow DevOps, documentation, and code versioning best practices.

Qualifications:

Required:

• Advanced degree (Engineering/Data Science/Life Sciences/CS or related); advanced degree preferred.
• 3+ years data engineering (data modeling/database design), preferably in scientific/manufacturing/healthcare.
• Proficiency: Python, R, SQL; cloud architectures (e.g., AWS, Snowflake, Redshift).
• Experience with NoSQL and graph databases.
• Strong analytical/problem-solving and stakeholder management; translate needs into requirements.

Preferred:

• Regulated/standards-driven data (CDISC, HL7, FHIR, OMOP, DICOM, manufacturing/quality).
• High-dimensional data (imaging/sensor).
• Knowledge of MLOps/model deployment workflows.
• Manufacturing systems (MES), lab information systems, or industrial data systems.
• Knowledge graph architecture experience.

Required Skills:

• Advanced Analytics
• Data Analysis
• Data Quality
• Data Reporting
• Data Science
• Data Visualization
• Digital Fluency
• Critical Thinking
• Technical Credibility
• Workflow Analysis
• Data Privacy Standards

Preferred Skills:

• Coaching
• Data Savvy
• Econometric Models
• Organizing
• Process Improvements
• Strategic Thinking

Benefits (time off):

• Vacation (120 hrs/yr)
• Sick time (40 hrs/yr; CO/Washington varies)
• Holiday pay incl. Floating Holidays (13 days/yr)
• Work/Personal/Family Time (up to 40 hrs/yr)
• Parental Leave (480 hrs/yr)
• Bereavement Leave (240 hrs/yr immediate family; 40 hrs extended family)
• Caregiver Leave (80 hrs in 52-week period)
• Volunteer Leave (32 hrs/yr)
• Military Spouse Time-Off (80 hrs/yr)