The Research Data Analyst I will be working closely with Dr. Jennifer Permuth and other faculty in Moffitt’s Department of Gastrointestinal Oncology

Position Highlights:

The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program.

The Ideal Candidate:

• Familiarity with Next Generation sequencing
• Familiarity with 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.
• Have a working knowledge of cloud-based architecture and software engineering skills needed for the creation of IT infrastructure, such as dashboards and data visualization tools and clinical trial matching and personalized medicine capabilities.

Responsibilities:

• Works closely with the Principal Investigator(s) to manage and analyze data
• Design, develop and deploy high performance computational software in the cluster to facilitate research to the PI.
• Develop and utilize appropriate software methodologies for emerging genomic technologies
• Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle
• Benchmark new tools for high dimensional data analysis as well as develop and apply novel analytic approaches to existing molecular epidemiology data
• Aid in the design and maintenance of a cloud-based curated DataMart for the GI Oncology Program and fulfill honest broker/concierge level responsibilities.

Credentials and Qualifications:

• Bachelor's Degree in Biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field with 2 years of relevant experience is required
  • Completion of an intense data boot camp is equivalent to 1 year of experience.
• OR Master’s Degree in biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field is preferred.
• Proficiency with Microsoft Office software, Unix environment, and statistical packages such as R, Python, SAS or other relevant software.
• Familiarity with Next Generation sequencing or other high‐throughput bioinformatic data, high dimensional data wrangling and analysis techniques.