Live opening · Posted 2 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
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.
Work arrangement
Yes
Your early-applicant advantage
Live timing from JobBeeper.
More openings worth a look
Recently tracked roles with full details and direct application links.