Biostatistics Expert - Fully Remote | Upto $170/hr

mercor; San Francisco (CA); Hybrid; CAD 235,000 - 334,000; Full time

Job summary

Mercor is seeking a Biostatistician for a contract role (20–25 hours/week), with remote options across the US or Canada. The role focuses on simulating patient-level data and producing SDTM/ADaM outputs to generate reliable TLF figures.

Ideal candidates hold an MS in biostatistics or statistics with 5+ years of experience, and hands-on SDTM/ADaM/TLF expertise. PhD is a plus. Independent work and timely delivery are essential.

Qualifications

• 5+ years of experience required; 10-25 years preferred.
• MS in biostatistics or statistics required.
• Hands-on experience across SDTM, ADaM, and TLF layers of pre-market trials.

Responsibilities

• Simulate raw patient-level data and transform it through SDTM and ADaM into TLF outputs; reconcile figures to sources.
• Execute end-to-end analysis pipelines; design prompts, golden outputs, and rubrics to quantify AI agent performance.
• Convert an existing SAP into data transformations and outputs; produce realistic synthetic data.
• Work independently and asynchronously to meet deadlines; improve AI model performance through data analysis.
• Collaborate with subject matter experts to ensure data consistency across datasets.

Skills

Experience 5+ years

Independent work

Education

MS in biostatistics or statistics

PhD in biostatistics (preferred)

Tools

SDTM

ADaM

TLF

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Biostatistician Type: Contract Compensation: $120–$170/hour Location: US or Canada Commitment: 20–25 hours/week

Role Responsibilities

• Simulate raw patient-level data and transform it through SDTM and ADaM into TLF outputs. Ensure every figure reconciles back to its source.
• Execute end-to-end analysis pipelines and component tasks. Design prompts, golden outputs, and rubrics to quantify the ability of an AI agent .
• Convert an existing SAP into data transformations and outputs. Produce synthetic data that is realistic rather than contrived.
• Work independently and asynchronously to meet deadlines. Improve AI model performance through rigorous data analysis.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.

Qualifications Must-Have

• 5+ years of experience required; 10-25 years preferred.
• MS in biostatistics or statistics required.
• Hands-on experience across the SDTM , ADaM , and TLF layers of pre-market (Phases 1-3) trials.

Preferred

• PhD in biostatistics or statistics.
• Availability for 30+ hours/week .