Data Scientist — "Cancer Biology" for Academic Research Support

Tuskegee University
Tuskegee, AL, US
Full-time

Position Title Data Scientist "Cancer Biology" for Academic Research Support Job Summary Tuskegee University Center for Biomedical Research (CBR) is seeking a highly skilled and motivated Data Scientist to join our research team at TU / CBR.

The successful candidate will play a pivotal role in advancing our understanding of cancer through thorough data analysis, utilizing expertise in epidemiology, biostatistics, and computational modeling, with a preference for R and python.

The Data Scientist will play a critical role in supporting students and Principal Investigators by providing expert analysis of large data sets, generating high-quality figures, and ensuring that data-driven insights are accessible to all members of our research community. Essential Job Duties

  • Collaborate with research teams to understand their data analysis needs and goals.
  • Apply advanced statistical techniques and machine learning algorithms to uncover patterns and insights within research data.
  • Create compelling and informative visualizations and figures to effectively communicate research findings.
  • Provide guidance on data collection methods and experimental design to ensure data quality and relevance.
  • Assist with the interpretation of analysis results and provide recommendations for future research directions.
  • Maintain up-to-date knowledge of data science trends, tools, and resources relevant to the academic research community.
  • Ensure compliance with data privacy and security protocols when handling sensitive information.
  • Contribute to research publications by providing data analysis expertise and generating publication quality figures.

Qualifications (Education, Experience and Specialized Training)

  • Ph.D. or master’s degree in biomedical sciences with a focus in epidemiology, statistics, or bioinformatics, or equivalent doctoral degree in a field directly related to the position.
  • A minimum of five (5) years of specialized experience in data analysis, with a focus on epidemiological and statistical methodologies.

Physical Demands Skills and Attributes

  • Proficiency in conducting in-depth analysis using analytic and statistical software (e.g., SAS, SPSS, or STATA) to prepare, clean, analyze, and visualize data.
  • Strong programming skills, particularly in R, with the ability to adapt and learn new languages as required.
  • Excellent communication skills, both written and verbal, to effectively convey complex scientific concepts.
  • 30+ days ago
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