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Senior Medical Research Scientist (Remote)

Hire Feed
Abu Dhabi, UAE
Contract
Senior
Remote
3 weeks ago
PythonRJuliaMachine LearningStatistical ModelingData Science
Free

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Role Overview

  • This is a contractual role focused on advancing medical research through technical implementation.
  • The position requires applying computational expertise to design, develop, and evaluate algorithms and systems that support clinical and biomedical data analysis.
  • The work directly contributes to improving patient outcomes and accelerating medical discovery through data driven insights.

Key Responsibilities

  • Design and implement technical frameworks to process, analyze, and interpret complex medical datasets including imaging, genomic, or electronic health records.
  • Develop and validate machine learning models or statistical methods for predictive diagnostics, treatment optimization, or drug discovery applications.
  • Collaborate with cross functional research teams to integrate computational solutions into clinical workflows and validate performance in real world settings.
  • Ensure technical solutions comply with regulatory standards, data privacy requirements, and ethical guidelines in medical research.
  • Document methodologies, results, and system architectures to support reproducibility, peer review, and regulatory submissions.

Required Skills & Qualifications

  • Master’s degree or higher in Computer Science, Biomedical Engineering, Bioinformatics, Data Science, or a related field.
  • Minimum of 5 years of hands on experience developing software for medical research, including work with electronic health records, medical imaging, or bioinformatics pipelines.
  • Proficiency in programming languages such as Python, R, or Julia, with experience using data science libraries (e.g., Pandas, NumPy, Scikit learn) and machine learning frameworks.
  • Strong background in statistical modeling, experimental design, or causal inference applied to clinical or biomedical data.
  • Familiarity with healthcare data standards (e.g., HL7, FHIR), regulatory frameworks (e.g., HIPAA, GDPR), and compliance requirements for medical data processing.
  • Experience with cloud platforms (e.g., AWS, GCP) or containerized environments for deploying research grade computational tools.

More About the Opportunity

  • This role supports global initiatives in precision medicine by enabling scalable, reproducible research workflows.
  • The position involves contributing to open source or proprietary systems used by clinicians, researchers, and data scientists worldwide.
  • There is potential for long term collaboration on evolving platforms as medical AI applications expand in clinical practice.

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