Remote Part-Time Sr. Data Scientist
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Job Description
Insight Global is seeking a Senior Data Scientist with 8–10 years of experience in the biomed/biotech or healthcare industry (excluding IT), to lead the design, development, and deployment of AI and machine learning models for early drug discovery and clinical data analysis. The role focuses on supporting medical device (Class II/III) and combination product development, leveraging ML to extract insights from clinical trial data (Phase 1–3) and drug molecule research.
Key Responsibilities
o Apply deep learning to imaging, omics, and real-world evidence datasets.
o Harmonize data from clinical, regulatory, and laboratory sources using semantic modeling.
o Support dashboard design and visual analytics for compliance platforms.
o Support audit-readiness and documentation for AI/ML systems in GxP contexts.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Qualifications
Skills and Requirements
Job Description
Insight Global is seeking a Senior Data Scientist with 8–10 years of experience in the biomed/biotech or healthcare industry (excluding IT), to lead the design, development, and deployment of AI and machine learning models for early drug discovery and clinical data analysis. The role focuses on supporting medical device (Class II/III) and combination product development, leveraging ML to extract insights from clinical trial data (Phase 1–3) and drug molecule research.
Key Responsibilities
- Model Development & Validation:
o Apply deep learning to imaging, omics, and real-world evidence datasets.
- Data Engineering & Integration:
o Harmonize data from clinical, regulatory, and laboratory sources using semantic modeling.
- Domain-Specific Analytics:
- Cross-Functional Collaboration:
o Support dashboard design and visual analytics for compliance platforms.
- Ethical AI & Governance:
o Support audit-readiness and documentation for AI/ML systems in GxP contexts.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Qualifications
Skills and Requirements
- MSc or PhD in Data Science, Bioinformatics, Computational Biology, or related field (industry experience not required for advanced degrees).
- 8–10 years total experience in biomed/biotech or healthcare (not IT).
- Advanced proficiency in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch).
- Extensive background in statistics, bioinformatics, and computational biology supporting medical device technologies.
- Experience with data handling and documentation supporting regulatory compliance (FDA, EMA, MHRA, TGA, etc.).
- Knowledge of consensus standards (AAMI, CISA, ICH, IMDRF, ISO, NIST), compliance automation, cybersecurity, and data privacy protection.
- In-depth understanding of semantic graph schemas, ontology-driven modeling, and modular UI/UX design.
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