Job Title: Senior Quantitative Scientist, ML/LLM
Transform Clinical Data into Scalable Healthcare Data Products

You will report into the Data & Science department and work with not only the Data & Science team but also Product Management, Engineering, and Medical. As Verana Health reinvents how research happens with data and technology in the healthcare space, we are working to solve complex real-world problems across multiple therapeutic areas, including urology, ophthalmology, and oncology. We are looking for a Senior Quantitative Scientist with experience working with messy unstructured electronic health record (EHR) data, including clinical text and imaging data, to support Verana Qdata4 products and real-world insight generation. Direct experience working with ophthalmology, urology, and/or oncology clinical data is considered a plus.
Why This Role Matters:

As a Senior Quantitative Scientist working cross-functionally, you will ensure our data products are generated with fit-for-purpose approaches and meet the necessary quality requirements. Built on the values of cross-functional collaboration, scientific rigor, and continuous learning, the Data & Science team strives to improve patient care by advancing the use of real-world clinical data, machine learning, and clinical expertise to generate meaningful healthcare insights.
What You Get to Do:

This role combines technical leadership, organizational development, and cross-functional partnership to drive the delivery of clinically meaningful machine learning systems at scale. These systems support the generation of real-world evidence and clinical insights used across research, commercial, and healthcare applications. The role requires hands-on technical engagement across model development and deployment workflows.

• Evaluate, fine-tune, deploy, and monitor pretrained language models for healthcare applications
• Drive cutting-edge research on language modeling with emphasis on scientific accuracy and explainability
• Communicate analysis results via presentations to a multi-disciplinary audience using clear, intuitive visualizations
• Establish and maintain best practices for data exploration, end-to-end model development and deployment lifecycle, and data/code/documentation management
• Work on Qdata development to enable commercial projects leveraging real-world data through responsibilities such as creation of study plans, implementation of analyses, development of algorithms, and/or writing of publications
• Collaborate cross-functionally with teams (e.g., Commercial, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects
• Provide mentorship and knowledge sharing to team members in standardizing machine learning/natural language processing best practices

Skills and Experience that Will Help You Succeed:

• Doctorate in a quantitative discipline (e.g., data science, computer science, machine learning, biostatistics, health economics, etc.) with 3+ years of experience or Masters with 5+ years of experience
• 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies
• 3+ years of hands-on experience with machine learning model implementation & deployment, especially on clinical notes; experience with imaging data is a strong nice to have
• 3+ years of hands-on experience with transformer architectures and large language models (e.g.,modern generative LLMs, fine-tuning, RAG workflows, alongside foundational models like BERT/RoBERTa) for tasks including NER, text classification, and relation extraction
• Strong familiarity with programming languages, especially Python, Pyspark, R, SQL
• Strong familiarity with coding platforms, especially Databricks, Amazon Sagemaker, Visual Studio Code
• Strong familiarity with unstructured text processing techniques
• Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
• Ability to work effectively with cross-functional teams
• Clear communication skills and able to deliver internal/external presentations
• Ability to prioritize and manage multiple projects with high attention to detail

Salary Range: $141,441 - 176,801 (A geographic premium may be applied to base salary)

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

Pay ranges may vary for market conditions, location, and experience.

National Pay Range

$141,441-$176,801 USD