Oncology Data Scientist - Cancer Information Data Trust

Organization
Inspirata, Inc.
Job Location
1 N Dale Mabry Hwy
Suite 600
Tampa, FL 33609
Salary
commensurate to experience
Job Description

POSITION DESCRIPTION:

We are seeking a Data Scientist with deep expertise in Oncology, who will combine his or her deep knowledge of cancer-related data with technology, informatics, big data and analytics skills to help assemble a data platform that provides insights into the vast amounts of real world cancer data.  You will be responsible for all activities necessary to access, mine and categorize structured and unstructured cancer related data and for presentation of that data in the Company’s big data platform.  You will be engaged in all data related activities, including data acquisition, design and implementation of data processing tools, data modeling, data architecture and data mining, statistical analysis to ensure the Company’s products access, organize and deliver accurate and meaningful information to researchers, clinicians and patients.  You must be comfortable digging into databases, health records, data architecture, data processing engines with software engineering colleagues to ensure that data is correctly captured, managed and delivered.  You must be highly motivated, comfortable in a fast-paced entrepreneurial environment, with experience designing and developing highly dimensional data intensive products, strong product leadership and team working skills and an aptitude for new technologies. 

 

RESPONSIBILITIES:

  • Align the Company’s business and product strategies with the required underlying data assets.
  • Support the development and expansion of the Company’s oncology data assets to promote research and clinical use.
  • Lead the definition, development, implementation and standardization of cancer data-related assets.
  • Provide expertise to process, cleanse, verify and QA data.
  • Provide expertise to manage, analyze and interpret oncology and related data in clinical and non-clinical contexts.
  • Define all data-related requirements for data access, management, analysis, visualization and delivery tools.
  • Lead efforts to update, standardize and centralize disease factors such as cancer subtype, stage, therapy, and diagnostic factors.
  • Design processes and data quality programs around creation and production of clinical oncology content.
  • Collaborate with customers, product stakeholders and engineering gathering and documenting data-related requirements for accessing, categorizing, organizing and mining data.
  • Contribute expertise in medical informatics to support the utilization of the CIDT in research and clinical settings.
  • Assist with the development, maintenance and adherence to policies, SOPs and data management plans related to data acquisition, use, security and compliance.
  • Responsible for completing Quality Management System documentation, writing reports, methods, specifications and procedures, as well as presenting and communicating results.
Requirements
  • M.S. or Ph.D. in a technical, scientific or quantitative field.
  • 5+ years’ experience in an oncology setting with strong understanding of pathology and oncology data and medical records.
  • Understanding of data management, clinical informatics and/or big data analytics in a healthcare or life sciences setting.
  • Strong technology skills, including experience with ETL processes, data quality, Big Data analytics and visualization tools.
  • Familiarity with medical ontologies, lexicons and tools required.
  • Strong project management skills and demonstrated ability to influence, motivate and collaborate with software development colleagues.

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