Clinical Data Scientist

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

Our client develops, manufactures and supplies a wide array of innovative medical diagnostic products, services, tests, platforms and technologies.

Role Summary:

Our client is seeking a Clinical Data Scientist or a programming-capable Clinical Scientist with proficiency in R or Python to support clinical data integration, analysis, visualization, and scientific documentation across its ALS and chemotherapy-induced peripheral neuropathy (CIPN) programs.

Key Responsibilities:

• Data Pipelines & Analysis: Process EDC, PK, and NfL data extracts; maintain reconciliation logs; build/maintain reproducible plotting code for spaghetti plots, waterfall plots, and swim-lane figures.
• Patient-Level Integration: Build integrated datasets incorporating NfL measurements, functional assessments, PK data, dosing/treatment interruptions, chemotherapy regimens, concomitant therapies, and AEs. Draft and follow up on data queries with Medical Monitors.
• Literature & Comparator Data: Maintain natural-history and comparator-trial benchmark datasets (ALS, CIPN, NfL, ALSFRS-R, Timmins, SWOG S1714, Velasco, SIR3-IIT); document limitations and monitor emerging literature (SARM1, CIPN, ALS).
• Scientific Documentation: Maintain claims registers and anticipated-questions documents; draft deliverables including single-slide summaries, data-room listings, figure legends, and analytical footnotes.

Qualifications:

Bachelor’s, Master’s, or PhD in Data Science, Clinical Analytics, Bioinformatics, Statistics, Life Sciences, or a related field (or equivalent practical experience in clinical programming/data science).

Requirements:

• Experience: Minimum 5 years of experience in clinical data science, clinical programming, clinical analytics, or as a Clinical Scientist with strong programming capabilities.
• Technical Skills: Proficiency in R or Python for reproducible data processing and visualization; hands-on experience with EDC exports and clinical trial datasets.
• Data & Analytics: Proven track record in patient-level data integration across successive data cuts, longitudinal patient plotting (spaghetti, waterfall, swim-lane plots), and literature data extraction.
• Communication & Autonomy: Strong written communication for translating complex clinical data into clear outputs; ability to work independently with cross-functional stakeholders.

Preferred Qualifications:

• Experience in ALS, CIPN, neurodegenerative disease, neurology, or oncology clinical development.
• Familiarity with NfL biomarkers, ALSFRS-R, PK data, and clinical outcome measures.
• Experience maintaining natural-history datasets, comparator benchmarks, and scientific evidence registers.