Senior Data Scientist, cf-RNA Sequencing & Predictive Modeling

Superfluid Dx, Inc.

Indiana

On-site

USD 160,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Pre-IPO equity
Comprehensive benefits

Job summary

Superfluid Dx, Inc. is seeking a senior data scientist to lead cf-RNA sequencing analysis, develop differential expression methods, and build predictive models for clinical insights.

You will design scalable data pipelines, evaluate results rigorously, and translate complex findings into clear narratives for scientific and executive audiences. The role includes meaningful equity and comprehensive benefits.

Qualifications

  • PhD in a quantitative field with strong focus on biological sciences.
  • Postdoctoral experience highly desirable.
  • 5+ years biotech industry experience leading projects.
  • Expertise in gene expression data analysis and dimensionality reduction.
  • Experience building ML/DL models with rigorous validation.

Responsibilities

  • Lead cf-RNA sequencing data analysis to deliver rigorous, reproducible results.
  • Develop methods for differential expression, pathway, and enrichment analyses.
  • Build, train, test, and validate predictive models including ML/DL approaches.
  • Design scalable, efficient data analysis pipelines.
  • Engage in hypothesis-driven research and method validation.
  • Critically evaluate results for real-world clinical applicability.
  • Visualize complex datasets and communicate findings to scientific and executive audiences.
  • Collaborate with cross-functional teams on scientific and technical strategy.

Skills

Statistical analysis
Data visualization
Communication
Independent research
Team collaboration

Education

PhD in quantitative field
Postdoctoral experience

Tools

Python
R
Unix/Linux
AWS
ML frameworks

Job description

Superfluid Dx, Inc. is seeking a senior data scientist to lead cf-RNA sequencing analysis, develop differential expression methods, and build predictive models for clinical insights.

You will design scalable data pipelines, evaluate results rigorously, and translate complex findings into clear narratives for scientific and executive audiences. The role includes meaningful equity and comprehensive benefits.

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