Data Science Director at Altoida

Altoida is a pioneer in developing digital biomarkers of neurological disease using augmented reality and machine learning. Our technology platform is designed to enable an objective evaluation of an individual’s neurological health, allowing for more accurate patient selection and stratification for clinical trials, as well as sensitive monitoring of disease progression. Altoida’s mission is to provide life sciences companies with actionable insights using real-world data to increase the success rate for novel therapeutics, and usher in a new era of precision neurology using digital biomarkers. Our proprietary evidence-based platform is founded on more than 20 years of scientific research and published in multiple peer-reviewed papers including Nature Digital Medicine. For more information, visit www.altoida.com. Follow us on Twitter @altoida. 


Altoida’s culture is united around six core principles:
- Patient-First 
- Open Communication 
- Collaborative 
- Reliable 
- Embrace Positive Change 
- Think and Build at Scale

We are looking for an entrepreneurial Data Science leader who values moving quickly to innovate and execute product initiatives. The Director of Data Science helps develop product strategies and lays out the analytic vision and roadmap to help the integrated Product Development team to deliver accordingly. This leader will bring robust, end-to-end analytics leadership experience that includes data science life cycle processes and data engineering, and work closely with other leaders, including Product Management and Engineering, to establish a world-class culture of data analytics and machine learning. They will report to the Vice President of Product and Software Development.


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



The position is remote with Greater Boston, MA candidates preferred. Minor travel is expected.

Compensation

Altoida provides competitive and comprehensive compensation and benefits programs. Specific benefit offerings may vary by location, position, and/or business unit. The full-time salary range is commensurate with experience.

Location
Altoida’s US headquarters is located in Washington, DC. The position is remote.

Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.