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Lead Data Scientist

AT EPAM Systems
EPAM Systems

Lead Data Scientist

Río Grande, Mexico

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
Requirements

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  • 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
Nice to have
  • Demonstrated expertise in AI technologies
  • Ability to lead multidisciplinary project teams
  • Background in using Amazon Web Services
We offer
  • Career plan and real growth opportunities
  • Unlimited access to LinkedIn learning solutions
  • International Mobility Plan within 25 countries
  • Constant training, mentoring, online corporate courses, eLearning and more
  • English classes with a certified teacher
  • Support for employee's initiatives (Algorithms club, toastmasters, agile club and more)
  • Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
  • Flexible work schedule and dress code
  • Collaborate in a multicultural environment and share best practices from around the globe
  • Hired directly by EPAM & 100% under payroll
  • Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
  • Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
  • 13 % employee savings fund, capped to the law limit
  • Grocery coupons
  • 30 days December bonus
  • Employee Stock Purchase Plan
  • 12 vacations days plus 4 floating days
  • Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
  • Monthly non-taxable amount for the electricity and internet bills
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.
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM's Privacy Notice and Policy.

Client-provided location(s): Mexico
Job ID: EPAM-epamgdo_blt8ee0ec909e3c5128_en-us_Other_Mexico
Employment Type: Other