Rsch Data Analyst I Bioinformatics

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 Laboratories for Head and Neck Oncology Research of Dr. Christine Chung and Tony Amelio (www.ameliolab.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 work on innovative cancer genomic projects that "contribute to the prevention and cure of cancer"! The data analyst will be working closely with Dr. Amelio and his lab in assisting the application 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. Tony Amelio ([email protected]) and Sophia Song ([email protected]). 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.

Position Highlights:
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.

Responsibilities:

• Contribute to peer-reviewed publications.
• Execute standardized and automated analysis pipelines.
• Contribute to rigor and reproducible data science research.
• Perform statistical analysis to extract meaningful insights from complex and high-dimensional datasets and provide data visualizations.
• Evaluate and implement existing bioinformatic methods for analyzing diverse omics datasets, including but not limited to RNAseq, exome sequencing, scRNA-seq, and spatial image and omics data.
• Works closely with the Principal Investigator to manage, analyze, and interpret data.
• Identify and utilize appropriate software methodologies for emerging genomic technologies
• Download data from public databases and perform secondary analysis.
• Contribute to interdisciplinary research by effectively communicating with clinicians and experimental biologists, and facilitating the integration of multi-omics data, clinical data, and experimental results.

Qualifications

• Excellent communication skills, both written and verbal, enabling effective collaboration with diverse teams of clinicians and scientists.
• Experience with applying statistical methods.
• Proficiency in programming languages such as R or Python.
• Demonstrated experience in utilizing high-performance clusters.
• Biostatistics, Genetics, Computer Science, or a related field with no prior experience in bioinformatics analysis.
• Ability to thrive both independently and in a fast-paced, team-oriented environment, effectively managing multiple projects and priorities.
• Proficiency in data visualization tools, such as ggplot2 and seaborn, to effectively communicate complex data.
• Bachelor's degree in any field related to data science including Bioinformatics, Biostatistics, Genetics, Computer Science, or a related field plus a minimum of two years of experience in bioinformatics analysis.

Location: H. Lee Moffitt Cancer Center & Research Institute · Tumor Biology
Schedule: Full Time, Day Shift, varies