Moffitt Cancer Center and Research Institute is proud to be Florida’s only National Cancer Institute-designated Comprehensive Cancer Center located in Tampa. We strive to be the leader in understanding the complexity of cancer through team science and applying those insights for human benefits. Every Team Member of Moffitt focuses on our lasting commitment to our mission: To contribute to the prevention and cure of cancer.
Now hiring a Research Data Analyst II in the Translational Bioinformatics and Cancer Systems Biology Laboratory of Dr. Aik Choon Tan (tanlab.org ) at the H. Lee Moffitt Cancer Center & Research Institute. We are looking for a talented, energetic and highly motivated individual to join our lab to "contribute to the prevention and cure of cancer"! This position will be involved in innovative cancer genomic projects. The data analyst will be working closely with Dr. Tan and his lab in assisting the development of computational methods for processing and integrating cancer genomics data. The data analyst will have the opportunity to be trained by computational and experimental mentors, and will be supervised by Dr. Aik Choon Tan (email@example.com). He/she will have the opportunity to collaborate with cutting-edge oncology research groups at the Moffitt Cancer Center and work on translational research projects.
Opportunity to work in exciting translational cancer research projects in a multi-disciplinary team science setting.
Participate in advanced cancer genomics and cancer systems biology research projects.
Outstanding mentorship from expert faculty with wide-ranging funded research programs.
Work at the intersection of data science and cancer research.
The Ideal Candidate:
Should have a strong interest in either basic or translational research. A track record of applying computational and/or statistical models to solve biological problems is desired.
Experience in common programming languages is needed (e.g., R, Python, C, Java, Perl).
Familiarity with next-generation sequencing data and other high-throughput bioinformatics data.
Familiarity with high dimensional data wrangling.
Familiarity with analysis techniques including machine learning, parallelization, and out-of-memory computation in a cluster environment, image processing, and high dimensional data visualization.
Participate in the development and deployment of computational and statistical methods in analyzing cancer genomics data.
Works closely with the Principal Investigator to manage, analyze and interpret data.
Contribute to peer-reviewed publications.
Present results in conferences and meetings.
Communicate effectively in team science settings.
Contribute to rigor and reproducible data science research.
Perform routine data analysis.
Develop and utilize appropriate software methodologies for emerging genomic technologies
Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle
Master’s degree or higher in bioinformatics, biostatistics, pharmacology, cancer biology, molecular biology, computational biology, or related field with 2 years of relevant experience with computational programming is required. Completion of an intense data boot camp is equivalent to 1 year of experience
Bachelor's Degree in biostatistics, bioinformatics, computer science, computational biology, epidemiology or related field and 7 years of relevant experience with statistical packages is required. Completion of an intense data boot camp is equivalent to 1 year of experience
Apply online at moffitt-cancer-center-careers.hctsportals.com/jobs/956828-rsch-data-analyst-ii-bioinformatics
or send email with your CV and cover letter to Dr. Tan (firstname.lastname@example.org)