Ubique Systems seeks a Data Science & AI Consultant to develop DS&A strategies, analyze health services research, and design advanced analytics & ML models. The role requires expertise in RWD methodology, data evaluation, and linkage. The consultant will also facilitate stakeholder alignment and provide training/enablement for functional departments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Greetings from Ubique Systems!!!
We are looking for a Data Science & AI Consultant for one of our customer who has an expertise in:-
- Strategy & Roadmaps: Development of DS&AI strategies, use-case portfolios, and value-case assessments; prioritization based on impact, feasibility, and risk; definition of KPI/OKR frameworks.
- RWD Methodology: Study and analysis design for health services research (unmet need, patient pathways, outcomes) based on routine health insurance data, EMR/EHR, registry and claims data, PROs/PREMs; data evaluation and linkage.
- Advanced Analytics & ML: Design and review of classification, regression, prediction, and time-series models; NLP/LLM, deep learning, recommender systems; bias/fairness assessments, reproducibility, and audit readiness.
- Omnichannel Enablement: Consulting on promotional mix optimization, next best action, segmentation/targeting, experimental design (A/B testing), and impact measurement.
- MLOps/DataOps Consulting: Roadmap for ML production readiness, CI/CD for ML, feature stores, model registry, monitoring (drift, performance), documentation, and handover standards for internal operations teams.
- Data & Vendor Due Diligence: Evaluation of external data sources and providers, technical due diligence, data protection/compliance checks (e.g., GDPR), licensing/usage models, and cost-benefit analyses.
- Stakeholder Alignment: Facilitation between Medical, Market Access, Payer/Governmental Affairs, and Marketing/Sales; workshops, storylining, decision-making documents; Training/Enablement for functional departments.
- Service Package (Project-Based)
- Discovery & Scoping: Problem definition, hypotheses, data requirements, risk/ethics assessment; roadmap and MVP plan.
- Prototyping & Validation: Development of PoCs/MVPs including success criteria, statistical validation, and reproducibility; documentation for traceability.
- Operationalization: Architecture and operations consulting, handover to internal teams (runbooks, monitoring KPIs, quality checklists); support through go-live.
- Governance & Compliance: Establishment of review gates, model risk management, bias/fairness frameworks, data protection concepts; preparation for internal/external audits.
- Capability Building: Training, playbooks, templates, code and dashboard guidelines; coaching for product owners and analysts.
- Technology Stack (consulting-ready)
- Languages/Tools: Python, R, SQL; review of production code, pipelines, and notebooks.
- Cloud & BI: AWS (S3, Athena, SageMaker), Git, CI/CD, Power BI; Architecture and tool selection.
- Data formats/models: FHIR, OMOP, claims/billing structures; pseudonymization/de-identification.
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Employment type:- B2B Contract.
It would be remote working.
Note:-Only apply if you have valid visa in the EU Region, Sponsorship will not be given.
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