Clinical Data Modeler - Type 1

Full Time
Remote
Posted
Job description

Clinical Data Modeler - Type 1

Remote Hire


Employment Type: Full Time
Clearance Requirements: Public Trust
FLSA Status: Exempt (Salary)
Salary Range: $86,737.50 - $115,650.00
Eligible for Remote Work: Yes

Goldbelt Frontier fosters a collaborative environment where employees are encouraged to utilize and employ their operational and leadership skills. Many senior project managers and business analysts are subject matter experts in their respective fields. Frontier understands how to support multiple stakeholders to aid in developing and implementing national policies, strategies, and doctrine.

Summary:
Goldbelt Frontier is seeking a Clinical Data Modeler – Type 1. The contractor shall be flexible in assigned schedule and be able to perform duty hours between 0700-1700. Contractor may be required to work outside core hours (e.g., evenings/weekends) to address urgent, time-sensitive tasks. Contractor should be able to flex work schedule during these times, while maintaining 40-hour work week.

Essential Job Functions:

  • Assist the project team with the development and proper execution of plans and operations that successfully fulfill the goals of the medical countermeasure’s enterprise.
  • Develop and assist with the management of the project tasks to assist with the prioritization of project tasks and ensure that key tasks are not forgotten when priorities change.
  • Guide and organize comprehensive logistical operations for the different logistical requirements of the medical countermeasure’s enterprise.
  • Review and provide recommendations for material assignment requirements for the medical countermeasure’s enterprise.
  • Review existing Standard Operating Procedures (SOPs) and flow charts and update them as needed.
  • Work with open-source data, public health information, and third-party vendor data.
  • Retrieve reports from system of record and analyze them.
  • Participate in required planning and coordination calls.
  • Communicate information effectively both orally and written (e.g., briefing presentations, technical documents, etc.).
  • Provide periodic update reports to PMs.
  • Research, conduct, and deliver recurring and ad hoc analyses and regularly required analytic products to support the medical countermeasures enterprise operations and decision support to the H-CORE Chief Operating Officer (COO).
  • Ensure level of effort & completeness of analytic products to ensure products meet the highest standards.
  • Collaborate with Engineering Staff to conduct required analyses from datasets on the Tiberius platform.
  • Support long range modeling efforts to determine demand and where there are forecasts for supply gaps or concerns.
  • Prioritize tasks when requested by the H-CORE COO, Deputy COO, or Analytics leadership

Necessary Skills And Knowledge:

  • Demonstrated experience facilitating collaboration across multiple workstreams.
  • Proficiency in written and oral communications.
  • Strong organizational skills (e.g. time management, communication, setting goals, delegation, working under pressure, self-motivation, analytical thinking, and attention to detail).
  • Strong proficiency in Microsoft Office applications, including Word, PowerPoint, Excel, and Outlook.
  • Working knowledge of remote/virtual meeting environments such as Zoom, Microsoft Teams, and WebEx.
  • Advanced analysis skills using Excel or a similar analytic tool, including the ability to perform conditional summations, data indexing and matching, data error identification and cleaning, conditional formatting, table referencing and lookups, data filtering, data visualization, and use of pivot tables.

Minimum Qualifications:

  • Bachelor’s degree with coursework in statistics and/or data analysis.
    • Course work may be traded off for relevant years or work experience.
  • At least three (3) years of relevant experience performing data analysis and/or statistical analysis.
  • National Security Clearance Requirement: Tier 2 - Public Trust

Preferred Qualification:

  • Master’s degree in Data Analytics or related field.

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