Bioinformatics Senior R Engineer (Clinical Data Scientist) Lithuania or Remote

What You’ll Do

• 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

What You Have

• 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

Nice to Have

• 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

We Offer

• Engineering Heritage: Best-in-class experts sharing a culture of 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 Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive in-house resources for upskilling or reskilling
• GenAI-X Global Community: A network of AI enthusiasts within EPAM, dedicated to exploring and sharing AI innovations
• 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 Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: 3800-6000 EUR gross, based on interview results, additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more

About EPAM

• EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption
• With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300 talented innovators in just 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us