Senior Data Scientist

present of AI; Boulder (CO); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

BranchLab is seeking a senior data scientist to transform messy clinical and commercial data into actionable signals. You will own modeling from design through production, applying strong statistics and machine learning while ensuring data quality and privacy considerations.

The role emphasizes framing the right questions, validating outputs with business context, and communicating results to stakeholders across teams to drive informed decisions in healthcare marketing.

Competenze

• Strong statistics and machine learning background.
• Proficient in SQL and Python.
• Focus on aligning results with real business questions.

Mansioni

• Build models and data pipelines from design through production.
• Turn messy clinical and commercial data into usable signals.
• Own project from data exploration to validation and deployment.
• Explain results to non-technical partners and translate business questions into technical specs.

Conoscenze

Python

SQL

Machine learning

Clinical data

Stakeholder communication

Descrizione del lavoro

A senior data scientist in a health data company is usually expected to build models and pipelines that turn messy clinical and commercial data into usable signals, and to own that work from design through production. A strong candidate brings solid statistics and machine learning, strong SQL and Python, and a habit of checking results against real business questions. Because the work involves clinical data and marketing audiences, care with data quality, privacy and compliance matters as much as model accuracy.

How it fits the AI era

AI tools now speed up coding, data cleaning and first drafts of models, so the job shifts toward framing the right question, judging whether outputs are sound, and explaining results to non technical partners. The human parts stay central: understanding clinical context, guarding against biased or misleading data, and deciding what is safe to act on. Senior people are valued for that judgment more than for raw model building speed.

How it builds AI experience

This role offers hands on practice applying AI to real health data, including working with large language models for semantic matching and checking their outputs against clinical meaning. A candidate can build this by shipping models on messy real world data, learning evaluation methods that catch failure, and studying privacy rules for health information. Public projects that connect clinical concepts to commercial use cases would show relevant preparation.

Worth showing

• Python and SQL
• Machine learning models
• Clinical data handling
• Clear stakeholder communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About BranchLab

BranchLab develops a semantic activation platform that translates clinical data into commercial intelligence and compliant marketing audiences for healthcare brands.