Remote Part Time Data Scientist

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.

This is a Part-Time, ad-hoc position targeting 5-20 hour per week. Candidates can work any time they would prefer. Candidates must be able to work on W2 without sponsorship now and in the future.

Key Responsibilities:

Model Development & Validation:

• Develop and optimize ML algorithms for predictive modeling, imaging, biomarker discovery, and patient stratification.
• Apply deep learning to imaging, omics, and real-world evidence datasets.

Data Engineering & Integration:

• Architect scalable pipelines for structured and unstructured biomedical data.
• Harmonize data from clinical, regulatory, and laboratory sources using semantic modeling.

Domain-Specific Analytics:

• Analyze, interpret, and synthesize biological and clinical data using statistical and computational methods.

Cross-Functional Collaboration:

• Communicate across matrixed teams (leadership, clinicians, regulatory strategists, QA, software engineers).
• Support dashboard design and visual analytics for compliance platforms.

Ethical AI & Governance:

• Implement bias detection, explainability, and validation protocols for regulated environments.
• Support audit-readiness and documentation for AI/ML systems in GxP contexts.

Qualifications:

• 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.
• 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.

Nice to Haves:

• Bachelor’s or Master’s degree in Information Technology or a related field from a top 25 accredited academic institution.

Work Schedule & Expectations

• All remote; flexible hours up to 20/week.
• Ad hoc (5–10 hrs/week) or defined schedule (up to 20 hrs/week).
• Technical collaboration required on Mondays and Wednesdays.
• May require schedule flexibility for client needs.

Compensation: $50/hr to $70/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law