Senior Data Scientist

Harnham; Boston (MA); Remote; USD 171,000 - 209,000; Full time

Benefits offered by this job

Fully remote within the US

Base salary up to $190k

Job summary

Harnham is hiringSenior Data Scientist to build and deploy production ML models that enhance patient matching for clinical trials. You will own projects end-to-end from ideation to deployment, working with Product and Engineering to ship impactful solutions.

The role emphasizes experimentation, cross-functional collaboration, and translating insights into business decisions while shaping the future of AI within the company.

Qualifications

• 5+ years hands-on data science experience.
• Strong Python and SQL skills.
• Experience deploying ML models into production.
• Solid foundation in statistics and experimentation.
• Ability to translate analysis into business recommendations.

Responsibilities

• Build and deploy predictive ML models to improve patient matching and engagement.
• Design and evaluate experiments to drive product and business decisions.
• Develop recommendation and forecasting models for scale.
• Collaborate with Product, Engineering, and business stakeholders to identify high-impact opportunities.
• Monitor production model performance and improve accuracy and reliability.
• Communicate complex findings to non-technical stakeholders.
• Influence ML direction across the organization.

Skills

Python

SQL

Production ML

Statistical modeling

Experiment design

Stakeholder comms

Tools

Cloud platforms

Job description

Build machine learning products that help more patients access life-changing clinical trials.

We're partnered with a fast-growing healthcare technology company that's transforming how patients are matched to clinical research opportunities.

They're investing heavily in machine learning and data science and are hiring multiple Senior Data Scientists to build production ML models that directly influence patient outcomes, product strategy, and business growth.

This isn't a research-only role or one where models sit in notebooks. You'll own projects end-to-end—from identifying opportunities and developing models through deployment, monitoring, and continuous improvement—working alongside Product and Engineering to ship solutions used in production.

If you enjoy solving ambiguous problems, designing experiments, and seeing your work create measurable real-world impact, this is an opportunity to do exactly that.

What You'll Do

• Build and deploy predictive machine learning models that improve patient matching and engagement.
• Design and evaluate experiments to drive product and business decisions.
• Develop recommendation systems and forecasting models.
• Partner closely with Product, Engineering, and business stakeholders to identify high-impact opportunities.
• Monitor production model performance and continuously improve accuracy and reliability.
• Translate complex analytical findings into clear business recommendations.
• Influence the future direction of AI and machine learning across the organization.

What We're Looking For

• 5+ years of hands-on Data Science experience.
• Strong Python and SQL skills.
• Experience building and deploying machine learning models into production.
• Strong foundation in statistical modeling and experimentation.
• Experience communicating technical concepts to cross-functional stakeholders.
• Passion for solving complex business problems using data.

Nice to Have

• Healthcare, life sciences, biotech, pharma, insurance, or other regulated industry experience.
• Experience with recommendation systems, forecasting, causal inference, or Bayesian methods.
• Experience working in fast-paced startup or scale-up environments.
• Familiarity with cloud platforms and modern machine learning tooling.

Why Join?

• Up to $190,000 base salary
• Fully remote within the US
• Build products that directly improve patient access to clinical research
• End-to-end ownership of machine learning initiatives
• Work alongside experienced Product, Engineering, and AI leaders
• High-growth business with significant investment in AI and data science
• Opportunity to shape the direction of machine learning across the company

If you're looking for a role where you'll build production machine learning systems, solve meaningful healthcare challenges, and see your work make a tangible impact, we'd love to hear from you.