Head, Innovation Accelerator Data Science
South San Francisco, United States
USD 254K-472K Executive-level Full Time
Tasks
- Coach and mentor team members
- Collaborate with cross functional partners to deliver technical solutions
- Drive data science innovation programs
- Ensure traceability reproducibility and documentation
- Establish technical standards for reuse and modular design
- Foster inclusive, high-performance culture
- Identify and integrate new technologies and platforms
- Lead hiring onboarding workforce planning succession management
- Make architecture decisions for scalability performance reliability compliance
- Manage budget priorities and capacity with leadership
- Manage multidisciplinary technical teams performance development
- Manage portfolio governance resource planning progress reviews
- Oversee execution quality technical risk management project velocity
- Plan technical capacity and resource deployment
- Provide technical leadership for prototyping to productization
- Secure alignment resources and sponsorship from stakeholders
- Serve as subject matter expert and escalation point
- Set development goals conduct performance evaluations
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive trial design | Agile | Bayesian statistics | Causal Inference | Clinical Trial Design | Clinical trial | Decision Theory | Decision analysis | DevOps | EHR | Electronic Health Records | Epidemiology | Experimental Design | Health Records | High Performance | High-Performance Computing | Knowledge graphs | MCDA | Machine Learning | Multicriteria Decision Analysis | Ontologies | Performance Computing | Probabilistic Programming | PyTorch | Python | R | Scikit-learn | Simulation Modeling | Statistical modeling | Supervised Learning | TensorFlow | Testing | Trial design | Unsupervised Learning | Utility elicitation | Version control | XGBoost
Education
Regions
Countries
States
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