Lead Data Scientist building intelligence on real-world healthcare outcomes at Fullscript. Design and conduct causal research to transform healthcare data into actionable insights to improve care.
Responsibilities
Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference
Addressing confounding, selection bias, missingness, and other structural challenges in real-world healthcare data
Extracting outcome intelligence from newly acquired longitudinal practitioner datasets
Connecting prescribing patterns, lab data, and behavioral signals into coherent analytical narratives
Establishing methodological standards that protect the integrity of our claims
Translating complex statistical findings into clear implications for Product, Marketing, and executive stakeholders
Leading and mentoring a small data team while remaining deeply hands-on in research and modeling
Building repeatable research processes that can scale as new data flows in
Requirements
Advanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inference
Demonstrated experience designing studies in observational healthcare data where randomization is not available
Practical understanding of the pitfalls in real-world clinical datasets, including confounding variables, selection effects, and incomplete outcome signals
Comfort working with messy inputs such as PDF labs, narrative notes, inconsistent schemas, and evolving data structures
Strong Python proficiency and hands-on experience with statistical modeling libraries
A track record of translating analytical insight into tangible business or product decisions
Professional maturity and autonomy to run a high-visibility research function independently
Experience leading or mentoring other data professionals while maintaining technical depth
Benefits
Generous PTO and competitive pay
Fullscript’s RRSP match program for financial health
Flexible benefits package and workplace wellness program
Training budget and company-wide learning initiatives
Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Senior Marketing Data Scientist for Mozilla providing analytical support to marketing team's investment decisions. Measuring marketing performance and uncovering insights to enhance impact.
Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Data Scientist at Dropbox partnering with product, engineering, and design teams for analytics and business growth. Focusing on revenue growth, product optimization, and launching high - impact initiatives.
Senior Data Science Manager driving data science projects and mentoring teams for AI product development at Dropbox. Collaborating cross - functionally to influence product strategies and analyze impactful data - driven insights.
Data Science Manager at Instacart leading a data science team to optimize consumer app experiences. Focusing on analytics and experimentation across critical shopper surfaces.
Clinical Data Manager overseeing comprehensive data management activities in clinical trials. Ensuring regulatory compliance and data quality while collaborating with clients and teams.