• Job Description

  Req#: 68396

  At Moffitt Cancer Center, we come face-to-face with cancer every day, but we also see courage. And it inspires us to be the safest and best place for cancer care – to bring greater hope to every patient we serve. It’s why we’ve been continually named One of the Top Places to Work in the Tampa Bay Area. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Moffitt is the leading cancer hospital in both Florida and the Southeast and has been nationally ranked by U.S. News & World Report since 1999. Because working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. Join a dedicated, diverse and inclusive team of over 7,000 to be a part of the Courageous future we envision.

  Summary

  The Data Scientist IV (DS) will work directly with key stakeholders throughout Moffitt to document data-related needs and identify novel approaches, including advanced data science and analytics techniques, for addressing those needs. The DS will incorporate these novel approaches into the larger Health Data Services and Digital Innovation strategies.

  Position Highlights:

  • The candidate would be joining one of the premier cancer centers with an opportunity to contribute towards cutting-edge cancer diagnosis, research, treatment and care
  • Moffitt Cancer Center possesses extensive clinical and research data resources, including genomic data, electronic health records, imaging data, and more. As a data scientist, you would have access to these valuable datasets, enabling to work with large-scale and diverse data sources to extract meaningful insights using latest industry models like GPT, BERT, LLMs etc. along with leading-edge technologies like Snowflake, AWS etc.
  • By joining Moffitt Cancer Center, you become part of a compassionate community dedicated to making a difference in the lives of those affected by cancer, providing a deep sense of fulfillment and purpose in your work.

  The Ideal Candidate:

  • The DS will implement Moffitt’s data and analytics strategy through the creation of predictive models and algorithms, manipulation of datasets to identify trends and extract meaningful knowledge, development of data mining solutions using natural language processing and machine learning to extract structured data, and more.
  • An ideal data scientist at Moffitt Cancer Institute should possess a strong foundation in data science, including expertise in statistical analysis, machine learning, and data manipulation.
  • Proficiency in programming languages such as Python or R, and experience with relevant data science libraries and frameworks, is crucial. Additionally, familiarity with big data technologies and tools for handling large-scale datasets would be advantageous.
  • Healthcare domain expertise allows the data scientist to effectively collaborate with oncologists, researchers, and clinicians and contribute valuable insights to cancer-related projects.

  Responsibilities:

  • As a senior Data Scientist, the candidate will be responsible for designing advanced analytics solutions that meet the business requirements and goals of the organization.
  • This includes understanding the data landscape, identifying the right technologies and tools, and creating a solution architecture that integrates various data sources and analytics components.
  • The DS will liaise directly with both clinical and research faculty whose work is focused on genomics, radiomics, patient-reported outcomes, and other areas to ensure Moffitt’s analytics methods are best positioned to accelerate discovery using Moffitt’s vast data assets.
  • This role will also work closely with the IT team and other stakeholders to integrate advanced analytics solutions with the existing Moffitt Cancer Analytics Platform (MCAP) data platform and infrastructure.
  • This role would also need to mentor junior data scientists on methodologies and practices

  Credentials and Qualifications:

  • Master’s Degree in data science, mathematics, statistics, computer science, or related quantitative field and 7 years of experience in quantitative analytics and applied data science OR Ph.D. in data science, mathematics, statistics, computer science, or related quantitative field and 5 years of experience in quantitative analytics and applied data science.
    • Experience must include a minimum of 5 years of experience independently leading complex data science projects.

  Additional Skills/ Specialized Training Required:

  • Strong proficiency programming in R, Python, or adjacent languages
  • Experience performing advanced statistical analysis and/or building a variety of machine learning models
  • Experience writing SQL queries, mining large datasets (pandas/dplyr), and using data visualization tools (matplotlib/ggplot2/plotly)
  • Experience with git or similar version control
  • Experience with cloud computing (i.e, AWS, Snowflake)
  • Experience working with healthcare data
  • Ability to translate complex datasets into simple recommendations
  • Excellent communication skills and the ability to write and speak about technical concepts to diverse stakeholder groups

  If you have the vision, passion, and dedication to contribute to our mission,

  then we have a place for you.

• About the company

  H. Lee Moffitt Cancer Center & Research Institute is a nonprofit cancer treatment and research center located in Tampa, Florida.

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