Translate business questions into clear analytical approaches; perform data extraction, cleaning, EDA, and synthesis of actionable insights.
Conduct core analyses such as trend/cohort segmentation, benchmarking, anomaly detection, and data quality validation.
Deliver structured outputs (key findings, supporting evidence, recommendations, and risks) and present in reviews/stakeholder discussions.
Support end-to-end work on AI, data products, and digital platforms: requirements shaping, solution research, rapid prototyping/POCs, AI-evals, and impact measurements.
Help embed LLM capabilities into workflows - e.g., automated meeting notes and action items, text-to-structure extraction, knowledge retrieval (RAG) - assisted analysis, and report generation.
Contribute to scalable evaluation frameworks (metrics, test sets, acceptance criteria) to enable reuse and broader adoption.
Partner with Data Engineering, Statistics, Medical, and Clinical teams to track data readiness, ensure definition alignment, and maintain delivery timelines.
Maintain project artifacts (task lists, decisions, dependencies) to improve traceability, clarity, and execution velocity.

Requirements

Master’s or PhD preferred in Statistics, Mathematics, Computer Science, Data Science, Bioinformatics, Industrial Engineering, or a related field.
Proficiency in Python or R for data wrangling and analysis (e.g., pandas/tidyverse, visualization, basic statistical analysis).
Solid SQL fundamentals (joins, aggregations). Bonus for window functions, query performance awareness, and working with large datasets.
Strong problem-structuring skills—able to translate ambiguous business questions into a hypothesis → analysis → insights → recommendations narrative.
Clear, concise written communication with the ability to produce business-ready deliverables.
Hands-on experience using LLMs/AI tools (e.g., ChatGPT, Copilot, Claude) for requirements clarification, problem decomposition, drafting/refining SQL and analysis code, and automating summaries/documentation.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data extractiondata cleaningexploratory data analysistrend analysiscohort segmentationbenchmarkinganomaly detectiondata quality validationPythonR

Soft Skills

problem-structuringwritten communicationstakeholder engagementanalytical thinkingcollaboration

Certifications

Master’s degreePhD