Job Description

Job Opportunity at Latica

At Latica, our goal is to unlock the value of data to transform patient care. Latica is a secure data network and medical intelligence platform that gives the healthcare ecosystem the ability to quickly and safely access de-identified real-world health and patient data to accelerate diagnostic and therapeutic solutions and improve patient outcomes. Our solution enables the long-hoped-for vision of rapid, safe access to healthcare data and accelerated R&D of diagnostic and therapeutic solutions, pharmaceutical studies, and medical devices. Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and fun to hang out with. We invest in our people and believe in hiring high-potential and humble individuals who can rapidly grow their responsibilities as the company scales.

What You'll Do

• Become a subject matter expert in our clients' healthcare data, enabling you to provide quick and reliable insights to stakeholders
• Build diverse patient cohorts and datasets to continuously enrich Latica's comprehensive data catalog
• Maintain robust data structures and documentation to ensure seamless access for internal data consumers and research teams
• Lead end-to-end medical research projects, from initial data exploration and protocol development through statistical analysis, dashboard creation, and publication-ready deliverables (posters, abstracts)

Requirements

• 5+ years of experience as a Data Analyst or in a similar analytical role within the healthcare industry (required)
• Advanced proficiency in SQL for complex data querying and manipulation
• Strong experience with Python and Pandas for data analysis and processing
• Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.)
• Experience with cloud infrastructure platforms (AWS/GCP) - preferred
• Background in client-facing roles and collaboration with pharmaceutical companies - preferred
• A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen

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