Hybrid Digital Twin Scientist for Clinical Trials

Xenon Seven; Indianapolis (IN); Hybride; USD 90 000 - 130 000; Plein temps

Résumé du poste

Xenon7 seeks a highly skilled data scientist to lead digital-twin development in clinical trial contexts. You will translate development questions into quantitative strategies, deliver interpretable analyses, and partner with trial-design teams across diagnostics and drug development.

You will design patient-level simulations, combine mechanistic and ML methods, ensure model governance and reproducibility, and collaborate with biostatisticians and clinicians to inform protocol design and

Qualifications

• PhD in data science, statistics, biostatistics, pharmacometrics, CS, or related field.
• Experience building digital twins, virtual patients, or trial simulations.
• Strong ML, statistics, causal inference, or simulation on biomedical data.
• Strong programming in Python or R with reproducible workflows.
• Clinical-development knowledge to work with trial experts.
• Ability to deepen trial-design knowledge via collaboration.

Responsabilités

• Lead design, development and evaluation of digital twins of patients or trials.
• Combine mechanistic, statistical, causal, and ML approaches for simulations.
• Define use cases with clinical experts for each digital twin.
• Assess calibration, validation, robustness and relevance.
• Develop reproducible workflows and reusable components.
• Partner with trial teams to frame development questions and evaluate designs.
• Use digital twins to compare scenarios, characterize uncertainty, support decisions.
• Collaborate with statisticians/pharmacometricians to align methods.
• Communicate assumptions and insights clearly to stakeholders.
• Analyze and integrate trial data with biomarkers and real-world data.

Connaissances

Digital twins

Clinical trial simulations

Machine learning

Python/R

Cross-functional collaboration

Communication

Formation

PhD in data science or related field

Description du poste

Xenon7 seeks a highly skilled data scientist to lead digital-twin development in clinical trial contexts. You will translate development questions into quantitative strategies, deliver interpretable analyses, and partner with trial-design teams across diagnostics and drug development.

You will design patient-level simulations, combine mechanistic and ML methods, ensure model governance and reproducibility, and collaborate with biostatisticians and clinicians to inform protocol design and