Job Description

Senior Data Scientist

Remote

6-Month Contract to Hire

$90-110/hr

About the Role

We’re looking for a hands-on, highly technical Senior Data Scientist to lead the data science efforts from the ground up for our client. This role is a unique opportunity to take full ownership of their data strategy and build systems that will drive smarter decision-making across digital clinical trial recruitment , resource allocation, and protocol optimization.

You’ll be at the forefront of solving some of the hardest problems in the clinical trial ecosystem, specifically around pricing, spend optimization , and machine learning–driven trial design . You’ll operate with high autonomy, working cross-functionally across product, engineering, and operations, while owning the full data science lifecycle—from exploration to modeling to deployment.

This is a 75% individual contributor role , with potential to lead a small team (e.g., a BI analyst or data engineer). It’s ideal for someone who thrives in startup environments and is excited to bring structure, experimentation, and impact to a space ripe for innovation.

What You’ll Work On

• Lead the development and deployment of data-driven systems that optimize trial design, pricing, and performance marketing efforts.
• Design models to improve resource allocation and performance forecasting in a high-dimensional decision space.
• Analyze structured and unstructured marketing and web data to optimize budget and spend across platforms like Google and Meta.
• Apply techniques from causal inference, experimental design, and online learning (e.g., multi-armed bandits) to test and scale recruitment strategies.
• Work directly with large, messy, real-world datasets—building pipelines, wrangling data, and making it usable.
• Collaborate with backend engineers and product stakeholders to implement models into production systems.
• Contribute to model development in AI/ML , with ~5–10% of your time spent on model training and experimentation.

What We’re Looking For

• 5–10 years of experience in a data science or machine learning role; startup experience preferred.
• Strong coding skills in Python (and/or R); deep familiarity with libraries like scikit-learn, XGBoost, PyTorch, TensorFlow .
• Strong grasp of probability theory, statistical inference, and A/B testing .
• Experience with causal inference and online learning methodologies.
• Proficiency in SQL and working with real-world, imperfect data.
• Proven ability to translate complex business problems into analytical solutions—and communicate results to both technical and non-technical stakeholders.
• Comfortable being both strategic and hands-on : building models, cleaning data, and driving execution independently.

Nice to Have

• Previous work in clinical trials, healthcare, or digital health
• Experience with performance marketing analytics or web attribution modeling
• Familiarity with trial recruitment platforms , sponsors, or CRO operations

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