What are the responsibilities and job description for the Bioinformatics Analyst III position at Oran Inc?
Experience Required
7 Years
Position Overview
We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.
Key Responsibilities
We are an Equal Opportunity Employer and value diversity at all levels.
7 Years
Position Overview
We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.
Key Responsibilities
- Support biomedical and clinical research data analysis initiatives.
- Analyze structured and unstructured clinical datasets.
- Develop and maintain data pipelines for healthcare analytics projects.
- Support AI/ML and predictive analytics initiatives in healthcare environments.
- Collaborate with data scientists, clinicians, and research teams.
- Perform statistical analysis and data wrangling activities.
- Implement ontology mapping and clinical data harmonization.
- Ensure compliance with healthcare and regulatory data standards.
- Develop APIs and integration workflows for healthcare data systems.
- Document technical processes and analytical methodologies.
- Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline.
- 7 years of professional experience in bioinformatics or healthcare analytics.
- Experience supporting biomedical or clinical research data analysis initiatives.
- Strong understanding of healthcare and life sciences environments.
- Hands-on experience with clinical datasets and healthcare interoperability.
- Python
- R
- SQL
- Clinical Data Analysis
- Biomedical Datasets
- HL7/FHIR
- Statistical Analysis
- Data Wrangling
- Ontology Mapping
- AI-Assisted Analysis
- Git
- Jupyter
- APIs
- AWS Certified Data Analytics Certification
- Certified Health Data Analyst (CHDA)
- SAS Certifications
- Experience working in healthcare, biomedical, or regulated environments preferred.
- Ability to work independently and collaboratively in cross-functional teams.
We are an Equal Opportunity Employer and value diversity at all levels.