Bioinformatics Senior R Engineer (Clinical Data Scientist)

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.

Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.

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
  
  
  

Requirements

• 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

• 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
• Flexible schedule and opportunity to work remotely from any place in Latvia
• Friendly team and enjoyable working environment
• Relocation within offices in 50+ countries with throughout support for you and your family
• Four trust days a year (sick leave without a medical certificate)
• High-quality medical services in terms of corporate health insurance
  
  
  

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 Latvia to over 130+ talented innovators in 2 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.