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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.

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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

• Salary range 3800-6000 EUR gross, based on your experience and interview results
• Outstanding career development roadmap to accelerate your journey
• Engineering community of industry’s top professionals
• Certification and mentoring programs, training, and unlimited access to LinkedIn Learning
• Innovative solutions delivery to the world’s industry leaders
• Regular assessments and salary reviews
• Bonuses for participating in the referral program
• Participation in the Employee Stock Purchase Plan
• Flexible schedule and opportunity to work remotely from any place in Lithuania
• Friendly team and enjoyable working environment
• Relocation within offices in 50+ countries with throughout support for you and your family
• Three additional vacation days and four trust days a year (sick leave without a medical certificate)
• Private health insurance and corporate discounts for family members

About EPAM

• As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our clients enabling them to reimagine their businesses through a digital lens. We help our clients become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services