Clinical Data Scientist: ALS & CIPN Analytics

Compass Consulting; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Compass Consulting is seeking a Clinical Data Scientist or programming-capable Clinical Scientist to support clinical data integration, analysis, and scientific documentation for ALS and CIPN programs. Proficiency in R or Python and experience with EDC exports are required.

The role involves building reproducible plotting code, patient-level data integration, and maintaining literature benchmarks across multiple trials, with strong communication and independent work capabilities expected.

Qualifications

• Proficiency in data processing and reproducible analysis workflows.
• Experience in data visualization and statistical interpretation.
• Ability to translate complex clinical data into clear outputs for cross-functional teams.
• Data integration across longitudinal datasets with capability to generate clear outputs for cross-functional stakeholders.

Responsibilities

• Develop data pipelines and analyses for EDC, PK, and biomarker data (NfL).
• Create integrated datasets combining multiple data types and generate data-ready outputs; respond to data queries.
• Maintain literature benchmarks and reference datasets; document limitations and monitor emerging research.
• Scientific Documentation: Maintain claims registers and anticipated-questions documents; draft deliverables including single-slide summaries, data-room listings, figure legends, and analytical footnotes.

Skills

Strong programming skills

Data visualization

Independent work

Data integration

Scientific documentation

Independent work

Education

Bachelor's/Master's/PhD in a relevant field

Tools

R

Python

EDC exports

Job description

Compass Consulting is seeking a Clinical Data Scientist or programming-capable Clinical Scientist to support clinical data integration, analysis, and scientific documentation for ALS and CIPN programs. Proficiency in R or Python and experience with EDC exports are required.

The role involves building reproducible plotting code, patient-level data integration, and maintaining literature benchmarks across multiple trials, with strong communication and independent work capabilities expected.