Senior Data Scientist, Tech Development Analytics

Valid8 Financial, Inc.

Philadelphia (Philadelphia County)

Hybrid

USD 140,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Competitive benefits
Paid time off
Stock option plans

Job summary

Cabaletta Bio is seeking a highly motivated Sr. Data Scientist in its Technical Development Data Analytics group in a hybrid Philadelphia setting.

The role focuses on applying scientific, statistical, and computational methods to solve complex development and manufacturing data problems across CMC, QA, and manufacturing functions. The ideal candidate will work at the intersection of data science and biology, building reusable analytical workflows and communicating insights to technical and

Qualifications

  • Ph.D. or M.S. in Data Science, Statistics, Computer Science, or related field.
  • 2+ years (Ph.D.) or 5+ years (M.S.) of relevant industry experience preferred.
  • Proven ability to translate complex data into actionable insights.
  • Experience with statistical analysis, experimental design, and data visualization.

Responsibilities

  • Partner with CMC and cross-functional teams to tackle data science questions.
  • Integrate and analyze data across processes to improve understanding.
  • Develop dashboards and workflows for scientist leaders to explore data.
  • Lead data-focused projects from definition to communication of conclusions.

Skills

Data science
Statistical analysis
Data visualization
Communication

Education

Ph.D. in Data Science
M.S. in a quantitative field

Tools

JMP
Python
R
SQL
Spotfire
Power BI

Job description

Cabaletta Bio is seeking a highly motivated Sr. Data Scientist in its Technical Development Data Analytics group in a hybrid Philadelphia setting.

The role focuses on applying scientific, statistical, and computational methods to solve complex development and manufacturing data problems across CMC, QA, and manufacturing functions. The ideal candidate will work at the intersection of data science and biology, building reusable analytical workflows and communicating insights to technical and

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