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.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• 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

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year