Biostatistical Problem Author

IXO Inc.; France; Remote; EUR 127,000 - 171,000; Part time

Job summary

IXO Inc. seeks a biostatistics expert to create and solve defensible biostatistics exercises for practical statistical work.

You will design problems covering study design, time-to-event outcomes, dose–response relationships, and genetic analyses, providing fully worked solutions with clear reasoning. The ideal candidate holds a master’s or doctorate in biostatistics or related fields, with 3+ years of practice and hands-on work with clinical, epidemiological or genetic data.

Qualifications

• Master’s or doctorate in biostatistics, statistics, epidemiology, statistical genetics or pharmacometrics.
• At least three years of full-time statistical practice.
• Direct analytical experience with clinical, epidemiological or genetic datasets.
• Ability to carry out statistical analysis in R, SAS or Python.
• Clear written English and the ability to explain your analysis; availability for at least 10 hours a week.

Responsibilities

• Create realistic biostatistics exercises testing defensible analyses.
• Develop problems from study design, time-to-event outcomes, dose–response relationships or statistical genetics.
• Provide worked answers with reasoning that connects each analytical step to the conclusion.
• Identify subtle methodological errors, including plausible-looking analyses that would fail a practitioner’s review.

Skills

Statistical analysis in R

Statistical analysis in SAS

Statistical analysis in Python

Effective written communication

Time management (10+ hours/week)

Education

Master’s degree or Doctorate in biostatistics/epidemiology/statistical genetics/pharmacometrics

Tools

R

SAS

Python

Job description

Create biostatistics exercises for IXO that test whether AI can make defensible analytical decisions. Develop problems from practical statistical work and supply complete solutions that explain the methods and assumptions.

What you will do

• Build realistic questions involving study design, time-to-event outcomes, dose-response relationships or statistical genetics.
• Provide a worked answer with the reasoning that connects each analytical step to the conclusion.
• Identify subtle methodological errors, including plausible-looking analyses that would fail a practitioner’s review.

Required background

• A master’s or doctorate in biostatistics, statistics, epidemiology, statistical genetics or pharmacometrics.
• At least three years of full-time statistical practice; time spent studying or in internships does not meet this threshold.
• Direct analytical experience with clinical, epidemiological or genetic datasets.
• Ability to carry out statistical analysis in R, SAS or Python.
• Clear written English and the ability to explain your analysis; availability for at least 10 hours a week.

Preferred background

• Experience with trial design, survival analysis, mixed-effects models, pharmacokinetic/pharmacodynamic modeling or genetic association analysis.

Location and eligibility

• Suitable for practicing biostatisticians, pharmacometricians and statistical geneticists.
• Clinical or wet-laboratory work alone is insufficient without a statistical role.

Availability

• Remote, asynchronous work with at least 10 hours available each week. Arrange your own working times; agree the volume of work before starting.

Pay and engagement

$121/hr Amounts are in USD. The applicable rate or fee and work requirements are agreed before you begin.