Statistician Clinical Trials & Predictive Biomarkers at Chicago, California & New Jersey PhD Must.

Kutir Inc; New Jersey; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading healthcare company is seeking a Statistician for Clinical Trials & Predictive Biomarkers. The candidate must hold a PhD in a quantitative field and have over five years of experience in clinical research. Responsibilities include designing statistical methodologies and analyzing clinical trials. Location is flexible within the U.S., including New Jersey, with competitive compensation offered.

Qualifications

• 5+ years of experience as a statistician in clinical research.
• Demonstrated experience in designing and analyzing clinical trials.
• Hands-on experience in meta-analysis for clinical research.

Responsibilities

• Design and implement innovative statistical methodologies for clinical trials.
• Utilise predictive biomarkers to identify patient subgroups.
• Conduct meta-analyses to refine clinical trial protocols.

Skills

PhD in Statistics or Biostatistics

Experience in clinical research

Expertise in predictive biomarker analysis

Strong communication skills

Education

PhD

Tools

R

SAS

Python

Job description

Overview

Statistician Clinical Trials & Predictive Biomarkers

Locations: Chicago, California & New Jersey

Duration: 6 Months

Education: PhD Must.

Required Qualifications

• Possess a PhD in Statistics, Biostatistics, or a closely related quantitative field, along with over five years of experience as a statistician in clinical research.

• Demonstrated experience in designing and analyzing clinical trials, preferably within the pharmaceutical or biotechnology sectors.

• Advanced expertise in predictive biomarker analysis for subgroup identification.

• Proficiency in developing and applying innovative statistical trial designs, including umbrella trials.

• Strong capability in optimizing drug dosing, timing, and combinations using statistical methodologies.

• Hands-on experience in meta-analysis and evidence synthesis for clinical research.

• Proficient in data extraction and benchmarking from diverse sources such as publications, abstracts, and regulatory documents.

• Excellent communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences.

Preferred Skills

• Familiarity with regulatory requirements and statistical standards for clinical trial submissions (e.g., FDA, EMA).

• Expertise in statistical programming languages (such as R, SAS, or Python).

• Experience in working within multidisciplinary teams in a global setting.

• Strong publication record in peer-reviewed journals.

Key Responsibilities

• Design and implement innovative statistical methodologies for clinical trials, including advanced trial designs such as umbrella trials.

• Utilise predictive biomarkers to identify and define patient subgroups for targeted therapeutic strategies.

• Optimise drug dosing, timing, and combination regimens through robust statistical modelling and analysis.

• Conduct meta-analyses to develop and refine assumptions for clinical trial protocols and statistical plans.

• Perform systematic data pulls and benchmarking across peer-reviewed publications, scientific abstracts, and FDA documents to support evidence-based decision-making.

• Collaborate effectively with cross-functional teams including clinicians, regulatory experts, and data scientists to ensure alignment of statistical strategies with clinical objectives.

• Prepare clear, comprehensive reports and presentations for internal stakeholders and external regulatory submissions.

Thanks & Regards.

Isaac Rajiv

Kutir Corporation

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