This role is for a data scientist who can do more than build models. You’ll connect advanced machine learning and causal inference to real business decisions, helping optimize omnichannel engagement in healthcare and biopharma.
About Axiom Software Solutions Limited
Axiom Software Solutions Limited provides specialized technology services and talent to organizations solving complex business problems. They support enterprise teams with analytics, engineering, and platform expertise. This role focuses on advanced data science work in healthcare and commercial biopharma environments.
Schedule
• Fully remote (United States)
• End to end ownership from problem definition through model implementation
• Collaborative environment with stakeholders across analytics, marketing, and business teams
• Work primarily in an Azure cloud ecosystem
What You’ll Do
• Design and implement analytical frameworks that support measurement, optimization, and decision making
• Work with healthcare and biopharma data sources such as claims data, prescription data, and HCP interaction logs
• Build predictive and prescriptive models to improve strategy and outcomes
• Lead advanced machine learning and causal inference work to measure and optimize omnichannel engagement
• Apply causal inference techniques such as causal impact analysis, uplift modeling, and tools like DoWhy
• Own the full lifecycle of data science projects, including scoping, methodology selection, evaluation, and deployment
• Communicate findings clearly and influence stakeholders with practical, evidence based recommendations
What You Need
• Strong background in predictive modeling, classification, segmentation, and optimization
• Proven experience with causal inference approaches for marketing or engagement analytics
• Proficiency in Python, R, and SQL
• Experience working extensively in Azure cloud environments
• Ability to operate independently, choosing methods and evaluation criteria and delivering end to end solutions
Benefits
• Remote role with high impact analytics and optimization work
• Opportunity to lead causal inference and ML modeling for omnichannel engagement
• Work across rich healthcare and biopharma datasets in a modern cloud environment
If you’ve been waiting for a role where causal inference actually gets used, not just talked about, apply now.
Bring rigor, business sense, and models that move the needle.
Happy Hunting,
~Two Chicks…