EPAM is looking for a Bioinformatics Senior R Engineer (Clinical Data Scientist) to join our team and contribute to data-driven projects by effectively using R programming.
In this role, you will lead the engineering of advanced analytic tools, execute database analyses and contribute to scientific publications. If you're passionate about improving healthcare through technology - we'd love to have you on board.
This position offers hybrid setup with the flexibility to work from any location in Latvia, whether it's your home or our office in Riga.

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Responsibilities

• Lead and contribute to the design and documentation of standardized analytic tools that will be executed against a network of observational data
• Guide the execution of observational database analyses using standardized analytical tools and writing statistical packages
• Provide technical support for the data and analysis infrastructure and scientific support
• Participate in the writing of protocols and statistical analysis plans, methods engineering, the conduct of simulation studies and statistical/mathematical modeling studies
• Drive and collaborate on engineering complex phenotypes using advanced analytic approaches (i.e., Machine Learning, incorporating unstructured data sources using NLP, etc.)
• Assist with the dissemination of scientific information through technical reports and publications in peer-reviewed literature
• Manage the development of novel analytic tools and techniques

• Bachelor or Master's degree in Information Technology or Computer Science or equivalent experience in Information Technology and Software Engineering
• Advanced knowledge of a subset of analytical approaches, ex. Machine Learning, statistical analysis, predictive modeling, visual analytics (at least three years of experience in Data Science)
• Understanding of SQL and R (at least two years of experience)
• Skills in Healthcare or Pharma (at least one year)
• Ability to multi-task and handle numerous complex projects at a time
• Enthusiastic, goal-oriented and team player mindset with a passion for improving the quality of healthcare
• English level - B2, both oral and written

• Graduate degree (MS, PhD, etc.) in Biostatistics/Biomedical Informatics, Computer Science or similar, plus two years experience in observational research
• Experience in designing and conducting healthcare studies and in the development and applications of advanced analytics solutions
• Knowledge of core principles of epidemiology and biostatistics
• Understanding of using OHDSI tools and analytical methods

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more