Haystack10.03.26
AI SCORE 8.5

Principal AI Data Scientist - Remote Opportunity

$130K–$156K/year

About the Role

We are hiring a Principal AI Data Scientist to join our innovative team at Haystack. This remote position offers an exciting opportunity to lead the integration of advanced AI and machine learning technologies into the healthcare sector, specifically focusing on clinical trials and patient care.

What You'll Do

  • Lead the design and implementation of AI/ML and GenAI solutions to revolutionize clinical trial operations, focusing on patient recruitment, retention, and real-time monitoring.
  • Architect LLM-driven applications to automate the generation of critical clinical documentation, including medical reports, protocols, and patient narratives.
  • Develop innovative Digital Healthcare applications using Real World Evidence (RWE) and data from wearable devices and electronic health records.
  • Collaborate with cross-functional R&D and Clinical Ops teams to translate complex healthcare challenges into scalable, predictive AI models.
  • Deploy and manage models using MLOps best practices on high-compute AWS cloud platforms while ensuring strict data privacy and regulatory compliance.

Requirements

  • Advanced degree (MS/PhD) in Data Science, Computer Science, or a related quantitative field with 3-5 years of professional experience.
  • At least 1+ year of hands-on experience applying AI/ML specifically to healthcare, clinical research, or life sciences data.
  • Expert-level programming in Python or R, with deep proficiency in modern ML frameworks such as PyTorch and TensorFlow.
  • Proven experience with Generative AI architectures, Large Language Models (LLMs), and Natural Language Processing (NLP) for medical text analysis.
  • Strong familiarity with the AWS ecosystem, code version control, and deploying models through standardized MLOps pipelines.

Nice to Have

  • Experience with data privacy regulations in healthcare.
  • Knowledge of statistical analysis and data visualization tools.
  • Familiarity with Agile methodologies.

What We Offer

  • Competitive compensation in the range of $62 - $75/hr, translating to an annual salary of approximately $129,600 - $156,000.
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • Opportunity to work at the forefront of HealthTech innovation within a mission-driven global R&D environment.
  • Flexible hybrid work model and a culture that prioritizes patient-focused research and professional growth.
  • Retirement savings plan and flexible paid vacation to support your long-term well-being.
Why This Job8.5 of 10

This role offers a unique opportunity to lead AI innovations in healthcare, working remotely with a competitive salary and comprehensive benefits.

Salary Range
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Optional
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Bonus
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About Haystack

Explore exciting career opportunities at Haystack in 2026. Browse a wide range of remote, hybrid, and office positions tailored to your skills. Utilize our advanced filters, track your applications, and gain valuable insights into our company culture. Whether you’re seeking your next challenge or a fresh start, find the perfect Haystack role that matches your career aspirations today.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and R for data manipulation and analysis, with hands-on experience in libraries like Pandas, NumPy, and Scikit-learn, essential for developing and deploying machine learning models.

Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring, particularly in cloud environments like AWS, to ensure scalable and efficient deployment of AI solutions.

Demonstrated expertise in Natural Language Processing (NLP) using frameworks like PyTorch and TensorFlow, with a focus on real-world applications in healthcare, such as patient data analysis and clinical trial optimization.

Learning Resources

Python for Data Science Handbookguide

Career Path

Principal AI Data Scientist(Now)AI Data Science Manager(1-2 years)Director of AI and Machine Learning(3-5 years)

Market Overview

Market Size 2024
$15.7B
Annual Growth
22.3%
AI Adoption
59%
Investment
+150%
Labour Demand
+35%
Avg Salary
$145K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningData EngineeringBig Data Technologies
Declining
R for Statistical AnalysisMatlab

Domain Trends

Rise of Automated Machine Learning (AutoML)
AutoML tools are expected to grow by 40% by 2025, enabling data scientists to automate repetitive tasks and focus on model refinement.
Increased Demand for Explainable AI (XAI)
With 65% of organizations prioritizing transparency in AI, skills in XAI are becoming essential for AI professionals.
Expansion of Cloud-based AI Solutions
The cloud AI market is projected to reach $50B by 2025, with a 30% increase in demand for cloud-based AI tools and platforms.

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