Lead Data Scientist

We are in search of a Lead Data Scientist to become an integral part of our team, significantly impacting biomarker discovery and translational research.
Joining a forward-thinking organization, the ideal candidate will apply their deep knowledge in biology, clinical trial analysis, statistics, and bioinformatics to elevate our platform's performance, delivering crucial insights that support oncology drug development and enhance patient outcomes.

#LI-DNI

Responsibilities

• Apply knowledge of molecular biology, clinical trial analysis, bioinformatics, and statistics to develop sophisticated biomarker analysis pipelines
• Elevate and maintain computational pipelines utilizing Python, Nextflow, and SQL databases
• Present scientific findings in easily understandable formats
• Collaborate with biologists, bioinformaticians, statisticians, and engineers to customize computational methods according to clinical and biological specifications
• Clearly communicate methodologies and results to a varied audience
• Employ AI and prompt engineering to advance biomarker discovery initiatives
• Deploy flexible AI solutions to address computational challenges
• Ensure computational and statistical methods are robust, reproducible, and maintain scientific integrity
• Continually update knowledge to remain at the cutting edge of computational biology, AI, and translational research

• Bachelor's and advanced degrees (MSc or PhD) in bioinformatics, computational biology, statistics, or related disciplines with a strong academic foundation
• Over 5 years of problem-solving expertise in bioinformatics and data science with a focus on biomarker development
• Over 1 year of pertinent leadership experience
• Established expertise in clinical trial data analysis
• Proficiency in statistical techniques and machine learning methods, including survival analysis, Random Forest, and Gradient Boosting
• Skills in Python and SQL, with some familiarity with Nextflow
• Demonstrated capability to develop automated data analysis workflows
• Strong competencies in data integration and manipulation
• Fluent English communication skills at a B2+ level

• Demonstrated expertise in AI technologies
• Ability to lead multidisciplinary project teams
• Background in using Amazon Web Services

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn