Head, Innovation Accelerator Data Science
South San Francisco, United States
USD 254K-472K Executive-level Full Time
Tasks
- Coach and mentor team members
- Contribute to governance resource planning progress reviews
- Drive data science innovation portfolio
- Ensure scalability performance reliability compliance
- Ensure traceability reproducibility and documentation
- Establish technical standards reuse and modularity
- Execute department priorities budget and capacity planning
- Identify and integrate new technologies and platforms
- Influence stakeholders for alignment resources sponsorship
- Lead hiring onboarding workforce planning succession
- Make architecture decisions
- Manage multidisciplinary technical teams delivery accountability
- Manage project velocity across workstreams
- Manage resource allocation across portfolio
- Oversee execution quality technical risk management
- Plan technical capacity and resource deployment
- Provide technical leadership
- Serve as subject matter expert and escalation point
- Set development goals run performance evaluations career progression
- Translate opportunities into feasible solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive Stopping | Adaptive trial design | Agile | Bayesian statistics | Causal Inference | Clinical Trial Design | Clinical trial | Decision Simulation Models | Decision Theory | Decision analysis | Decision simulation | DevOps | Electronic Health Records | Epidemiology | Experimental Design | Health Records | High Performance | High-Performance Computing | Interpretability | Interpretable machine learning | Machine Learning | Multiple Criteria Decision Analysis | Performance Computing | PyTorch | Python | R | Scikit-learn | Simulation Models | Software testing | Statistical modeling | Supervised Learning | TensorFlow | Trial design | Unsupervised Learning | Utility elicitation | Value of Information | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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