EPAM is looking for a 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.
#LI-OG3
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
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- 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
- 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
- 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
- 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