Spatial Front, Inc

Clinical Data Scientist

Spatial Front, Inc

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $100,000 - $130,000 per year

Job Level

Mid-LevelSenior

Tech Stack

Python

About the role

  • Support a Federal Government customer by researching and ingesting publicly available foreign regulatory data and integrating it with existing datasets.
  • Build a sustainable, daily data ingestion pipeline and apply advanced analytics to generate insights and identify high-risk facilities.
  • Extract meaningful insights from acquired and existing datasets using advanced analytical techniques.
  • Support a proactive, risk-based approach by identifying patterns and indicators of high-risk facilities.
  • Prepare and deliver presentations and analytical findings to stakeholders.
  • Conduct root-cause analysis and communicate data issues, risks, and gaps to project leadership.

Requirements

  • MS in a qualitative technical field such as computer science, engineering, statistics, or a related field.
  • Minimum 5 years of experience in at least one of the following work areas: analytics, biopharmaceutical manufacturing, quality analytics, biotechnology research and development, or other relevant research programs.
  • Demonstrate familiarity with Databricks and expertise in either R or Python.
  • Must have expertise in web scraping, time-series analysis, and machine learning techniques, with proven ability to apply these skills effectively.
Benefits
  • For information on SFI's benefits, please visit http://www.spatialfront.com/pages/career.html

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data ingestionadvanced analyticsroot-cause analysisweb scrapingtime-series analysismachine learningRPythondata analysisdata integration
Soft skills
communicationpresentationproblem-solvingstakeholder engagementanalytical thinkingrisk assessmentpattern recognitionattention to detailcollaborationcritical thinking