Clinical Data Scientist - Digital Twins & AI/ML

Workana LLC; Ohio; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Travel expenses covered when travel is

Flexible work arrangements

Independent contractor agreement

Remote, international team

Job summary

Workana LLC seeks a Clinical Data Scientist to lead digital twin design and trial simulations in a fully remote, international setting. The role combines ML, statistics, and mechanistic modeling to optimize trial design and patient outcomes, collaborating with physicians, biostatisticians, and data engineers.

You will integrate multi-modal data, ensure model interpretability, and support regulatory-facing evidence through robust analysis workflows in an English-speaking environment.

Qualifications

• PhD or equivalent in a quantitative field as listed.
• Experience developing digital twins or clinical trial simulations.
• Proficient in Python and healthcare data analysis.
• Ability to collaborate with trial experts and interpret results.

Responsibilities

• Lead the design, development, calibration, and validation of digital twins using diverse data sources.
• Combine ML, statistical modeling, causal inference, and mechanistic approaches for models.
• Partner with trial teams to evaluate protocol design options and endpoints.
• Analyze multi-modal datasets including trials, biomarkers, real-world data, and omics.
• Collaborate with data engineering to build reproducible pipelines and datasets.
• Work with biostatisticians to ensure outputs complement trial-design methods.
• Ensure model quality, interpretability, auditability, and defined decision contexts.

Skills

Python

Machine learning

Statistical modeling

Causal inference

Data engineering

Education

PhD in Data Science, Statistics, Biostatistics, Pharmacometrics, Computer Science, Biomedical Informatics, or a related quantitative field

Tools

AWS

GCP

Azure

Job description

is the largest remote work platform for talent in Latin America. Our client is an innovative clinical development organization driving healthcare forward through advanced digital twins, AI/ML, and computational modeling. They partner with multidisciplinary teams across life sciences to translate complex biological and trial data into quantitative strategies that optimize clinical trial design, endpoint selection, and patient outcomes.

Clinical Data Scientist

Digital Twins, AI/ML, and Clinical Trial Simulation

to join a multidisciplinary team of physicians, biostatisticians, pharmacometricians, and data engineers. This is a fully remote opportunity for professionals based in Latin America, working closely with an international team in an English-speaking environment.

Responsibilities

• Lead the design, development, calibration, and validation of digital twins for patients, disease progression, and trial outcomes using clinical trial and external data.
• Combine machine learning, statistical modeling, causal inference, and mechanistic approaches to build fit-for-purpose computational models.
• Partner with trial teams to evaluate protocol design options, including target populations, eligibility, enrichment strategies, endpoints, and dosing.
• Analyze and integrate multi-modal datasets, including clinical trials, biomarkers, real-world data, digital health, imaging, and omics.
• Collaborate with data engineering and platform teams to build reproducible pipelines, reusable digital-twin components, and analysis-ready datasets.
• Work alongside biostatisticians and pharmacometricians to ensure digital-twin outputs complement established trial-design methods.
• Ensure model quality, interpretability, auditability, and responsible use by defining clear decision contexts, success criteria, and limitations.

Required Qualifications

• PhD in Data Science, Statistics, Biostatistics, Pharmacometrics, Computer Science, Biomedical Informatics, or a related quantitative field.
• Demonstrated experience developing digital twins, virtual patients, disease-progression models, or clinical trial simulations.
• Strong experience applying machine learning, statistical modeling, causal inference, or simulation to healthcare, pharmaceutical, or complex biomedical data.
• Advanced programming skills in Python
• Sufficient clinical-development knowledge to frame quantitative research questions and collaborate effectively with trial experts.

Bonus Points

• Direct experience supporting clinical trial design, protocol development, model-informed drug development (MIDD), or regulatory-facing quantitative evidence.
• Expertise in Bayesian modeling, survival analysis, longitudinal modeling, adaptive trial design, or synthetic control arms.
• Experience working with scalable cloud-based analytical environments (AWS, GCP, or Azure).
• Experience working with clinical data standards and multi-modal biomedical data integration.

Benefits & Conditions

• Competitive salary with travel expenses covered when travel is required.
• Flexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.East Coast with occasional travel).
• Dynamic career growth with innovative, high-impact enterprise projects.
• Long-term independent contractor agreement.