Business Data Analyst (Oncology Data Mapping)

Business Data Analyst (Oncology Data Mapping)

Posted Today by 1763187928

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Negotiable
Outside
Remote
USA
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Agile Methodology AWS Elastic MapReduce (EMR) Azure Databricks Back End (Software Engineering) Data Abstraction Databricks Data Engineering Data Integration Data Mapping Datamodel Data Modeling Data Science Data Transformation Front End (Software Engineering) Git (Version Control System) Informatics Mapping Software Python (Programming Language) Scrum (Software Development) Sprint Planning SQL (Programming Language) Transformation Rules Transparency (Human-Computer Interaction) Version Control Workflows

Summary: The Oncology Data Mapping Specialist (Business Analyst) role involves mapping and modeling oncology EMR and genomics data into a common data model, specifically targeting FHIR mCODE. This position is essential for enhancing data integration and enabling scalable analytics across oncology datasets. The contractor will work remotely and collaborate with clinical and technical teams to ensure effective data abstraction and transformation. The role requires proficiency in SQL, Python, and familiarity with Databricks and Git for version control.

Key Responsibilities:

  • Map oncology EMR (Onco EMR or similar) and genomics source data to a targeted schema (FHIR mCODE or similar).
  • Analyze and interpret back-end tables, schemas, and content structures of oncology EMR systems.
  • Collaborate with clinical and technical teams to understand data abstraction workflows and front-end EMR interfaces.
  • Write and execute SQL or Python code to transform source tables into the target data model.
  • Operate within a Databricks Medallion architecture to develop, test, and deploy data pipelines across bronze, silver, and gold layers.
  • Maintain version control and collaboration using Git.
  • Document mapping logic, transformation rules, and data lineage.
  • Collaborate with cross-functional teams in an AGILE framework, adapting to evolving requirements and delivering incremental value through iterative development cycles.
  • Participate actively in SCRUM ceremonies such as daily stand-ups, sprint planning, sprint reviews, and retrospectives to ensure project transparency and continuous improvement.

Key Skills:

  • Proven experience with oncology EMR systems, including back-end schema and table structures.
  • Strong understanding of genomics data and its integration into clinical models.
  • Hands-on experience with FHIR mCODE or similar healthcare data models.
  • Proficiency in SQL and Python for data transformation and modeling.
  • Experience working in Databricks, with knowledge of Medallion architecture principles.
  • Familiarity with Git for version control and collaborative development.
  • Solid understanding of standard clinical terminologies and code sets, including ICD-10-CM/PCS, SNOMED CT, LOINC, RxNorm, and NDC.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Oncology Data Mapping Specialist (Business Analyst)

Location: Remote

Overview

We are seeking highly skilled contractor(s) to support the mapping and modeling of oncology EMR and genomics data into a common data model, specifically targeting FHIR mCODE. This role is critical to advancing our data integration efforts and enabling scalable, interoperable analytics across oncology datasets.

Key Responsibilities

Map oncology EMR (Onco EMR or similar) and genomics source data to a targeted schema (FHIR mCODE or similar).
Analyze and interpret back-end tables, schemas, and content structures of oncology EMR systems.
Collaborate with clinical and technical teams to understand data abstraction workflows and front-end EMR interfaces.
Write and execute SQL or Python code to transform source tables into the target data model.
Operate within a Databricks Medallion architecture to develop, test, and deploy data pipelines across bronze, silver, and gold layers.
Maintain version control and collaboration using Git.
Document mapping logic, transformation rules, and data lineage.
Collaborate with cross-functional teams in an AGILE framework, adapting to evolving requirements and delivering incremental value through iterative development cycles.
Participate actively in SCRUM ceremonies such as daily stand-ups, sprint planning, sprint reviews, and retrospectives to ensure project transparency and continuous improvement.


Required Qualifications

Proven experience with oncology EMR systems, including back-end schema and table structures.
Strong understanding of genomics data and its integration into clinical models.
Hands-on experience with FHIR mCODE or similar healthcare data models.
Proficiency in SQL and Python for data transformation and modeling.
Experience working in Databricks, with knowledge of Medallion architecture principles.
Familiarity with Git for version control and collaborative development.
Solid understanding of standard clinical terminologies and code sets, including:
ICD-10-CM/PCS
SNOMED CT
LOINC
RxNorm
NDC


Preferred Qualifications

Experience with front-end EMR workflows and clinical data abstraction.
Experience using terminology tooling such as Health Language.
Background in clinical informatics, data engineering, or data science.
Ability to work independently and communicate effectively with cross-functional teams.

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