Data Scientist REMOTE II

HCL Global Systems, Inc.

$90K — $120K *
US-AnywhereRemote in Virginia, US
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree with coursework in biostatistics or equivalent experience.
  • Strong data analysis skills in SQL, Tableau, R, REDCap, and Microsoft Excel.
  • Willingness to work occasional weekends and holidays.
  • Experience working collaboratively with diverse groups on multiple projects.
  • Master's Degree with coursework in biostatistics preferred.
  • Proficiency with SQL, R, Tableau Desktop, Tableau Prep, and REDCap preferred.
  • Familiarity with health/public health data is a plus.

Responsibilities

  • Assist with data cleaning, integration, and analysis of public health data.
  • Use analytic and visualization tools to develop data projects.
  • Collaborate with stakeholders to define project requirements and gather feedback.
  • Communicate findings effectively to diverse audiences through visualizations and reports.
  • Build relationships with internal and external stakeholders for collaboration.
  • Document processes, including commenting on scripts and describing data steps.
  • Identify and implement improvements in processes and analyses.

Benefits

  • Opportunity to work on impactful public health projects, including COVID-19.
  • Collaborative environment that values teamwork across disciplines.
  • Hands-on experience with cutting-edge data analytics tools.
  • Engagement with a variety of audiences, including community groups and academic journals.
Full Job Description
*local candidates strongly preferred.

Assist with complex data cleaning, integration, and analysis of public health data. The Data Scientist will collaborate with stakeholders, subject matter experts, and data stewards to ensure data projects are accurate and fulfill business needs for various data projects, including COVID-19.

Some responsibilities are but not limited to -

Leverages appropriate analytic and visualization tools (SQL, R, Python, Tableau, others) to develop complex data cleaning, integration, and analysis projects. Applies appropriate coding and statistical methodology to fulfill stakeholder requirements.

Coordinates with business stakeholders and subject matter experts to define requirements, organize and lead meetings, present findings, solicit feedback, and establish enhancement cycles.

Communicates data project results for a variety of audiences. Builds visualizations, collaborates on report writing, presents to internal and external stakeholders, and pursues publication as applicable. Audiences may include specific VDH programs, VDH leadership, other government agencies, the general public, healthcare providers, community action groups, and/or academic journals.

Builds relationships and collaborates with diverse internal and external stakeholders including subject-matter experts, data stewards, and others as applicable.

Contributes to team documentation. Ensures that scripts are commented out and routine processes are described step-wise. Includes data cleaning steps, sources, filters, assumptions, and purposes in documentation.

Proactively identifies process, database, and analysis improvements. Identifies, communicates, and implements innovative strategies without overstepping programmatic ownership.

Conducts other duties as requested/assigned

Required Qualifications (Skills, Experience, Education, Certifications)

Bachelor's Degree with coursework in biostatistics or equivalent combination of experience and education
Strong data analysis skills in SQL, Tableau, R, REDCap, and Microsoft Excel

Willingness to work occasional weekends and holidays

Experience working collaboratively with diverse groups and projects with defined timelines and deadlines simultaneously

Preferred Qualifications (Skills, Experience, Education, Certifications)

Master's Degree with coursework in biostatistics or equivalent

Proficiency with SQL, R, Tableau Desktop, Tableau Prep, and REDCap

Familiarity with health/public health data

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