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spatial front
spatial front

Clinical Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Machine learning
Analysis
+31

Visa

U.S. visa required

Permanent role
a month ago
Apply now

Job Type

Full-time

Description

Spatial Front Inc. (SFI) is seeking an experienced Clinical Data Scientist to support a Federal Government customer. This project focuses on researching and ingesting publicly available foreign regulatory data and integrating it with existing datasets. The role supports building a sustainable, daily data ingestion pipeline and applying advanced analytics—such as time-series analysis, trend analysis, and machine learning (e.g., NLP, clustering, and outlier detection)—to generate insights and proactively identify high-risk facilities.

Summary Of Major Job Functions

This role supports the extraction, integration, and analysis of complex regulatory and operational data to generate actionable insights and identify high-risk facilities. The position combines advanced analytics with hands-on data engineering and operational support to ensure high-quality, reliable data services.

Non-Technical Activities

  • Extract meaningful insights from acquired and existing datasets using advanced analytical techniques, including time-series analysis, trend analysis, and machine learning (e.g., clustering, NLP, and outlier detection).
  • 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.
  • Perform periodic status check-ins and provide feedback to ensure alignment with project goals.

Technical Activities

  • Serve as a specialist in applying data science, computer science, mathematics, statistics, and operations research to design data models, perform data mining, and develop algorithms and predictive models.
  • Perform hands-on data analysis, validation, and quality assurance to ensure data accuracy and reliability.
  • Utilize data mining techniques and web scraping tools to extract data from websites, databases, and other sources.
  • Apply business intelligence, analytics, reporting, and data transformation techniques to drive insights.
  • Design, manage, and optimize data pipelines, including data architecture, formats, and performance.
  • Ensure operational excellence by maintaining reliable, efficient, and high-quality data services.

Primary Responsibilities & Required Skills

  • Strong experience with Git and collaborative development workflows
  • PySpark / Apache Spark experience (required)
  • Strong R / RShiny skills (required)
  • Strong Python skills (required)
  • Advanced SQL experience (required)
  • Familiarity with a broad range of machine learning techniques and their implementation
  • Excellent written and verbal communication skills
  • Strong analytical skills with emphasis on data exploration and data wrangling
  • Databricks experience (preferred)
  • Biological sciences or pharmaceutical domain experience (preferred)

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.

Additional Information

  • To meet the clearance requirements for this opportunity, candidates must be authorized to work in the US
  • All candidates will be subject to a complete background check, including, but not limited to, Criminal History, Education Verification, Professional Certification Verification, Verification of Previous Employment, and Credit History.
  • Public Trust background investigations can take approximately four to eight weeks and require fingerprinting.

Other Information

  • The salary for this position is $100,000 - $130,000 annually
  • For information on SFI's benefits, please visit http://www.spatialfront.com/pages/career.html
  • This is a full-time W2 position.
  • Please no agencies, third parties, or Corp-to-corp.
  • Spatial Front Inc. is an Equal-opportunity Employer, all qualified applicants will receive consideration for employment.
  • Spatial Front Inc. participates in E-Verify.

Salary Description

$100,000 – $130,000

About spatial front

👥51-200
📍Mc Lean, Virginia, United States
🔗Website

spatial front Service

spatial front product / service

How does spatial front work?

SFI effectively delivers the right Information Technology solutions and Business Support services using thoughtful analysis, strategic planning and precise execution.

Company culture

Excellence

We are committed to delivering excellence, continuous improvement, and life-long learning.

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