Junior Data Scientist

Black Canyon Consulting LLC
Washington, DC, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Encodings Databases Data Auditing Extract Transform Load (ETL) Data Transformation Data Visualization Data Warehousing Relational Databases Information Extraction Information Retrieval
+19 more
Python (Programming Language) Machine Learning Natural Language Processing Named Entity Recognition Standard Sql Unstructured Data Feature Store Data Processing Feature Engineering Retrieval-Augmented Generation Transfer Learning Large Language Models Prompt Engineering Data Lakes Scikit Learn Data Management Document Classification Software Version Control Data Pipelines

Job description

The Data Engineer will design, implement, maintain, and optimize data pipelines, APIs, data transformation workflows, and supporting infrastructure. This position will work with databases, data lakes, data warehouses, feature stores, and other data platforms to ensure information can be efficiently ingested, transformed, accessed, and used by analytical and AI-enabled systems.

The Data Engineer will also develop and maintain ETL/ELT processes, feature engineering workflows, and service layers that expose data or model endpoints to downstream systems and applications.

Requirements

  • Expertise in R or Python for statistical analysis and data manipulation
  • Experience using NLP techniques including named entity recognition, text classification, or information extraction to process data
  • Experience with LLM prompt engineering, retrieval-augmented generation, and LLM fine-tuning to extract structured information from unstructured data
  • Working knowledge of standard machine learning methods relevant to health data
  • Ability to critically evaluate AI/ML methods for appropriateness, bias, and validity in a clinical research context
  • Strong oral and written communication skills, including the ability to translate technical findings for clinical/non-technical collaborators
  • Ability to work collaboratively with physician and clinical subject matter experts
  • Detail-oriented, with strong data quality assurance habits
  • Strong analytical, organizational, and time-management abilities
  • Working knowledge of MS Office Suite
  • Working knowledge of SQL and relational database management systems (DBMS)

Preferred Skills

  • Experience with common NLP/ML libraries
  • Familiarity with clinical NLP tools or frameworks
  • Experience with vector databases or embedding-based retrieval for text/document search
  • Data visualization experience
  • Version control and documentation experience
  • Familiarity with administrative claims and/or EHR data
  • Prior experience in an academic, clinical, or biomedical research setting
  • Understanding of data privacy and regulatory requirements relevant to health data
  • 5 years of strong healthcare data background

Benefits & conditions

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

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