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Temporary Data Science R Jobs in Pennsylvania (NOW HIRING)

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment

Python * R and Tidyverse * Databases and database management with SQL * Business analytics ... Temporary, Contractors and Seasonal Employees: Individuals in this status are scheduled on an as ...

... R, LLM, and related technologies. * Build, maintain, and optimize ETL/ELT pipelines that ingest ... Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, Quantitative ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field * 3+ ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

Showing results 21-40

Temporary Data Science R information

What cities in Pennsylvania are hiring for Temporary Data Science R jobs?

Cities in Pennsylvania with the most Temporary Data Science R job openings:

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

Spring House, PA โ€ข On-site

Scorpion Therapeutics
51 - 200 employees

Other

PTO

Posted 12 days ago


Job description

Position Summary:

Data Scientist โ€“ Data Engineer (R&D DDSAI โ€“ 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)
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