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Senior Data Scientist

Harnham

Austin (TX)

Remote

Full time

Yesterday
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Job summary

A leading company is seeking a Senior Data Scientist to spearhead data science efforts for clinical trial recruitment. This role offers autonomy and the chance to innovate in a startup environment, focusing on optimizing trial design and resource allocation. Ideal candidates will have strong coding skills in Python and experience with machine learning methodologies. The position is remote and offers a competitive pay range.

Benefits

Medical insurance
Vision insurance
401(k)

Qualifications

  • 5–10 years of experience in data science or machine learning role.
  • Strong coding skills in Python and/or R.

Responsibilities

  • Lead the development and deployment of data-driven systems.
  • Analyze structured and unstructured marketing and web data.

Skills

Python
SQL
Causal Inference
Machine Learning
Statistical Inference

Tools

scikit-learn
XGBoost
PyTorch
TensorFlow

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.00/hr - $110.00/hr

Direct message the job poster from Harnham

Recruitment Consultant | Contracts at Harnham

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
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Staffing and Recruiting and Pharmaceutical Manufacturing

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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