Junior Data Scientist

Blackcanyonconsulting
Bethesda, MD

Who this role is best for

Junior Data Scientists with health data experience and NLP/ML skills will find this role in a collaborative, clinical research-focused environment in Bethesda, MD.

Best fit for

  • Those who have worked in academic or biomedical research settings and can translate technical findings effectively are ideal.
    — “Strong oral and written communication skills, including the ability to translate technical findings for clinical/non-technical collaborators”
  • Individuals who can handle data quality assurance and work with clinical subject matter experts will align well with this role.
    — “Detail-oriented, with strong data quality assurance habits”

Things to consider

  • A strong grasp of both statistical analysis and machine learning methods is required.
    — “Working knowledge of standard machine learning methods relevant to health data”

How to stand out

  • Highlight projects involving clinical data analysis and NLP in your resume and interview responses.
    — “Experience using NLP techniques including named entity recognition, text classification, or information extraction to process data”
  • Emphasize your experience with ETL/ELT processes and data pipeline design in your application materials.
    — “The Data Engineer will design, implement, maintain, and optimize data pipelines, APIs, data transformation workflows, and supporting infrastructure.”
  • Demonstrate your understanding of data privacy and regulatory requirements in health data contexts.
    — “Understanding of data privacy and regulatory requirements relevant to health data”
  • Include examples of your use of Python or R for statistical analysis and data manipulation.
    — “Expertise in R or Python for statistical analysis and data manipulation”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and implement data pipelines
  • develop and maintain ETL/ELT processes
  • create and maintain feature engineering workflows
Typical background
Master's degree in Data Science, Statistics, or related fieldExperience in healthcare data analysis

Skills & requirements

Required

RPythonNLP TechniquesLLM Prompt EngineeringMachine Learning MethodsData Quality AssuranceSQLMS Office Suite

Preferred

Data VisualizationVersion ControlClinical NLP ToolsVector DatabasesAdministrative ClaimsEHR DataData Privacy

Stack & domain

RPythonNLP TechniquesLLM Prompt EngineeringRetrieval-augmented GenerationLLM Fine-tuningStandard Machine Learning MethodsSQLRelational Database Management Systems (dbms)CommunicationCollaborationData Quality AssuranceAnalyticalOrganizationalTime-managementHealthcare

About the role

Original posting from Blackcanyonconsulting via Greenhouse

Overview

Black Canyon Consulting (BCC) is searching for a Junior Data Scientist. This position supports research data analysis, dissemination, and scientific programming activities related to critical illness, infectious diseases, and related conditions of high national priority..

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.

Required Skills

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

Benefits and Salary

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.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Source: Blackcanyonconsulting careers (Greenhouse)

Similar roles

More roles at Blackcanyonconsulting