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Python Data Scientist - EMS/Healthcare

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Remote

Python Data Scientist - EMS/Healthcare

Algoworks

Python Data Scientist - EMS/Healthcare

Skills

MongoDBPythonData ScienceDatabricksLinuxNLP / Natural Language ProcessingAzure

2 days ago

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Important information


Contract type:

Freelance / Contract

Location:

New York, NY, USA

Work mode:

Remote

Published on:

21 October 2026

What they need


IMMEDIATE HIRE

3+month contract/Remote

We Do Not Offer Sponsorship for this Role

Sorry, No 3rd Parties

US Citizen/GC Holders Encouraged to Apply

Pays Up To $85 per hour, Depending on Experience

DATA SCIENTIST - Python/EMS & Healthcare Domain

Role

Extend the Python processing pipeline that enriches EMS patient care records before they reach search and dashboards. Work under the client’s technical lead on a backlog defined sprint by sprint.

Responsibilities

  • Build new enrichments (syndromes, performance measures and similar derived fields) in the existing framework, to given definitions, with tests.
  • Help build probabilistic linking of multiple EMS records to one incident and one patient, using time, location and record attributes; harden the existing patient-token logic.
  • Work within the existing Python processors, message-queue pipeline and MongoDB record store; keep new processing consistent with how records are versioned and re-processed.
  • Validate results on obfuscated data in staging; trace and explain differences against the current path.

Required skills

  • Python , 6+ years, building data processing in an existing codebase.
  • Applied data science : entity resolution / probabilistic matching, classification from text, feature derivation from structured records.
  • MongoDB working knowledge; understanding of how a search index (Solr or similar) consumes processed records.
  • Linux familiarity sufficient to run and debug a pipeline.
  • Comfortable taking technical direction from a client lead and working from a lightly defined backlog.

Preferred

  • EMS, healthcare or public-health data (NEMSIS, ICD, RxNorm, syndromic surveillance).
  • NLP on clinical or incident narratives; geospatial data and geocoding.
  • Exposure to Azure Data Lake, Databricks or Fabric.

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