Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.
Effectively communicating advanced analytics to stakeholders to inform business decisions.
Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
Contribute to innovative experiments , specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria to make meaningful improvements to the business processes and strategies.
Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.

Requirements

BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline.
3+ years of relevant experience delivering complex analytical projects in the pharmaceutical, biotech, consulting, or healthcare industry.
Knowledge in mining patient medical claims/EMR data with a strategic mindset and proven record of being able to produce actionable business insights that drive positive commercial results.
Self-motivated, proactive mindset, and ability to work independently.
Effective interpersonal skills, communication skills, and stakeholder management, including experience collaborating in a matrixed organization and ability to align stakeholders on data-driven decisions.
Strong business acumen and consultative skills, with proven ability to comprehend business processes and commercial strategies in detail and translate these into detailed business standards/questions that power analytics.
Effective organizational and project management skills to work effectively across the organization and manage a team of business analysts and data scientists efficiently and effectively.
Innovative thinking with affinity toward experimentation and appropriate risk-taking, including curiosity about how agentic AI and automation can enhance commercial analytics and insight generation.
Awareness of the opportunities, limitations, and responsible use of AI (including agentic AI) in a regulated environment (e.g., data privacy, validation of AI-generated outputs).
Prior hands-on experience working with healthcare data especially EMR/EHR, Claims Data (i.e. IQVIA APLD) and various data offerings.
Ability to develop efficient programming code and software assets that provide advanced analytical functionality.
Proven data science experience leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus.
Knowledge of both machine learning and descriptive algorithms/modeling using such languages as Python, R studio, SAS, SQL etc.

Benefits

medical, dental, vision healthcare and other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysismachine learningartificial intelligencenatural language processingstatistical methodsprogrammingdata miningdata visualizationanalytical methodologiesdata storytelling

Soft Skills

communication skillsinterpersonal skillsstakeholder managementorganizational skillsproject managementinnovative thinkingself-motivatedproactive mindsetcollaborationbusiness acumen