Senior Quantitative Scientist, ML/LLM

Verana Health

. Evaluate, fine-tune, deploy, and monitor pretrained language models for healthcare applications .

Posted 9/28/2026full-timeUnited StatesSenior💰 $141,441 - $176,801 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in deploying and monitoring pretrained language models for healthcare applications, with strong skills in machine learning model implementation and data analysis. Proficient in collaborating with cross-functional teams to translate clinical questions into actionable analytics.

Highest-signal resume keywords

Doctorate In A Quantitative DisciplineMachine Learning Model ImplementationTransformer ArchitecturesPython, Pyspark, R, And SQLUnstructured Text Processing Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingData AnalysisModel DeploymentData ExplorationText ClassificationRelation ExtractionClinical Notes AnalysisData ManagementAlgorithm Development

Soft Skills

Clear CommunicationMentoringCollaborationProject ManagementAttention To Detail

Tools & Technologies

DatabricksAmazon SagemakerVisual Studio Code

Industry Keywords

Clinical DatasetsICDCPTRxNormHealthcare Applications

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Evaluate, fine-tune, deploy, and monitor pretrained language models for healthcare applications
Drive research on language modeling with emphasis on scientific accuracy and explainability
Present analysis results to multidisciplinary audiences using clear visualizations
Establish best practices for data exploration, model development and deployment, and data/code/documentation management
Support Qdata development through study plans, analyses, algorithm development, and publication writing
Collaborate with Commercial, Product, Medical, and Engineering/Technology teams to translate clinical questions into analytics requirements
Mentor team members and share machine learning and natural language processing best practices
Work cross-functionally to deliver clinically meaningful machine learning systems supporting real-world evidence and clinical insights

Requirements

What you’ll need

Doctorate in a quantitative discipline with 3+ years of experience, or Master’s with 5+ years of experience
5+ years of hands-on experience with messy data and analytical methodologies
3+ years of hands-on experience with machine learning model implementation and deployment, especially on clinical notes
3+ years of hands-on experience with transformer architectures and large language models for NER, text classification, and relation extraction
Strong familiarity with Python, Pyspark, R, and SQL
Strong familiarity with Databricks, Amazon Sagemaker, and Visual Studio Code
Strong familiarity with unstructured text processing techniques
Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
Experience with imaging data is a strong nice to have
Ability to work effectively with cross-functional teams
Clear communication skills and ability to deliver internal/external presentations
Ability to prioritize and manage multiple projects with high attention to detail
Must be legally authorized to work in the United States
Must have permanent residency in one of the listed states for remote employment
Visa sponsorship and OPT/STEM extension support are unavailable

Benefits

Comp & perks

100% health, vision, and dental coverage
401K match
Flexible vacation plans
Annual stipend for learning and wellness
Access to wellness apps like Headspace
Market-leading medical, dental, and vision insurance plans
Flexible time off programs
Paid parental leave
Annual learning and wellness stipend
Hybrid work schedule for employees within 50 miles of San Francisco, Knoxville, or New York offices