Senior Manager, AI, and Data Engineering

Key Responsibilities:
- Build and prototype AI-enabled solutions supporting Oncology R&D workflows and decision-making.
- Develop and maintain data pipelines, feature engineering workflows, and analytical models.
- Apply machine learning to structured and unstructured healthcare data.
- Collaborate with scientific and product partners to deliver usable tools.
- Iterate quickly with production scaling support as appropriate.
- Contribute to shared engineering standards, documentation, and best practices.

Basic Qualifications:
- BS + 6+ years relevant experience OR MS + 5+ years OR PhD + 1+ year (advanced degrees in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related strongly preferred).
- Hands-on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
- Strong programming skills; experience with modern data and ML tooling.
- Ability to rapidly prototype and adapt based on feedback.
- Strong collaboration and communication skills.

Preferred Qualifications:
- Experience with research or clinical workflows.
- Background in healthcare technology companies or AI startups.
- Exposure to cloud-based data and ML environments.

Compensation & Benefits (as stated):
- Annual base salary: $139,100–$231,900; eligible for Global Performance Plan bonus (target 17.5%) and share-based long-term incentives.
- Benefits include 401(k) with matching and additional retirement contribution, paid vacation/holidays/personal days, caregiver/parental & medical leave, and medical/dental/vision.

Relocation assistance may be available (based on business needs/eligibility).