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• Patient-First
• Open Communication
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• Think and Build at Scale

Responsibilities (Leadership)

• Influence leadership and peers across functional lines within Altoida to develop a consistent and transparent digital and data science strategy
• Build and maintain partnerships with internal and external stakeholders to augment data science capability and innovation

Responsibilities (Data Science)

• Demonstrated experience and understanding of generative, discriminative, and contrastive ML methods with application in classification and gradient boosting techniques, knowledge discovery and causal inference
• Broad understanding of applied mathematics and statistics (e.g., Bayesian, Multi-Objective Optimization, Topological Data Analysis) and effective application in addressing multiple comparison problems, data independence, collinearity and other factors that improve overall interpretation of results
• Willing to take a hands-on role to deliver on multiple, highly visible projects, plus the ability to develop and coach others, and guide other team members to achieve outcomes that create meaningful business impact
• Serve as an ambassador for Data Science at Altoida by presenting and publishing articles
• Build a bridge between academia, technology, and industry partners to drive improvements in data science capability & processes, including access to external data from regulatory and other 3rd party sources, as applicable
• Partner internally and cross-functionally on data-driven strategies to ensure an optimized and consistent approach (data standards) to metrics, thresholds, etc. that meet stakeholder needs
• Assess, influence and ensure data quality / validation procedures, including managing the curation, documentation, protection, and storage as per policy
• Explore / coordinate implementation advancements in AI, ML and related technology / tools, including external benchmarking to pharma and other leading organizations
• Strong ability to explain ML and AI concepts internally and to regulators, as applicable to our products, including how to minimize bias in the product and increase scale
• Guide the continuous calibration of model outputs to maximize performance and external validity, while following data security protocols
• Provide objective assessments to assist leadership in prioritizing investments in data-science capabilities and projects
• Keep pace with latest developments in the field and mentor associates accordingly

Responsibilities (Operational Excellence)

• Accountable for design and timely delivery of the digital / data science strategies
• Accountable for ensuring validation / controls are in place to support data science capabilities and models, including the consistent application of data quality standards
• Accountable for delivering on ML research & development across multiple concurrent projects and smooth transition to production, as applicable

Desired Skills and Experiences

• 10+ years of work experience leading data teams, working collaboratively with Product, Engineering and cross-functional partners, and guiding data-driven product planning, prioritization, and strategy development
• Executive-level communication skills for cross-functional collaboration across teams
• Able to think innovatively and to develop and execute strategic plans pursuant to the responsibilities of the role, solving complex and unique problems
• Previous people leadership experience and experience leading the development and technical growth of colleagues to support business transformation
• Experience in hiring, retaining, and scaling geographically dispersed, high-performing teams
• Experience influencing product strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses
• Experience in a technical leadership role, such as Statistics, Mathematics, Computer Science, or a related field with strong analytical skills to assess information, draw conclusions and recommend improvements
• Well-developed interpersonal skills with ability to collaborate across functions and work effectively across all levels of the organization
• Knowledge of Quality Management Systems, healthcare data standards and regulations, including HIPAA
• Experience with Python object-oriented development and related scientific & statistical packages, SQL, and other programming languages