Talantix.io
Fullscript•10.03.26
AI SCORE 8.5

Lead Data Scientist - Remote Position at Fullscript

$140K–$180K/year
RemoteHealthTech
Python•Statistical Modeling•Causal Inference•Data Analysis•Machine Learning•Data Visualization

About the Role

We're hiring a Lead Data Scientist to join our innovative team at Fullscript, a remote position that allows you to shape the future of healthcare. As a Lead Data Scientist, you will anchor one of our most important initiatives, utilizing real-world data to drive impactful decisions. Your expertise will be crucial in designing research that credibly claims causality in complex healthcare data.

What You'll Do

  • Design rigorous observational research frameworks that move beyond correlation toward defensible causal inference.
  • Address confounding, selection bias, and missingness in real-world healthcare data.
  • Extract outcome intelligence from longitudinal practitioner datasets.
  • Connect prescribing patterns, lab data, and behavioral signals into coherent analytical narratives.
  • Establish methodological standards to protect the integrity of our claims.
  • Translate complex statistical findings into clear implications for Product, Marketing, and executive stakeholders.
  • Lead and mentor a small data team while remaining hands-on in research and modeling.
  • Build repeatable research processes that can scale with new data flows.

Requirements

  • Advanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inference.
  • Demonstrated experience designing studies in observational healthcare data.
  • Practical understanding of the pitfalls in real-world clinical datasets.
  • Strong Python proficiency and hands-on experience with statistical modeling libraries.
  • A track record of translating analytical insight into tangible business decisions.
  • Professional maturity to run a high-visibility research function independently.
  • Experience leading or mentoring other data professionals.

Nice to Have

  • Experience with machine learning and data visualization tools.
  • Familiarity with data governance and data architecture.
  • Knowledge of compliance and regulatory requirements in healthcare.

What We Offer

  • Generous PTO and competitive pay.
  • Fullscript's RRSP match program for financial health.
  • Flexible benefits package and workplace wellness program.
  • Training budget and company-wide learning initiatives.
  • Discount on Fullscript catalog of products.
  • Ability to work Wherever You Work Well.

Why Fullscript

At Fullscript, we believe great work happens when people feel supported and inspired. We stay curious and continuously seek smarter ways to improve care. Join us in making healthcare whole.

Why This Job8.5 of 10

This Lead Data Scientist role at Fullscript offers a unique opportunity to influence healthcare outcomes through data-driven insights. With competitive pay and a supportive remote work environment, it's a chance to make a significant impact.

Salary Range
Required
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Optional
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Bonus
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Who Will Succeed Here

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Proficient in Python with advanced libraries such as Pandas, NumPy, and SciPy for data manipulation and statistical analysis, alongside experience in deploying machine learning models using frameworks like TensorFlow or PyTorch.

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Strong analytical mindset with a focus on causal inference methodologies, capable of designing and interpreting complex observational studies, particularly in the healthcare domain.

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Self-motivated and disciplined to thrive in a fully remote work environment, with a proven track record of leading data science projects and mentoring junior team members, demonstrating leadership qualities in a virtual setting.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Causal Inference for the Brave and Truearticle

Career Path

Lead Data Scientist - Remote Position at Fullscript(Now)→Data Science Manager(1-2 years)→Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
22.5%
AI Adoption
45%
Investment
+150%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonStatistical ModelingCausal Inference
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Spark, Hadoop)
Declining
R ProgrammingExcel-based Analytics

Domain Trends

Increased Demand for Automated Machine Learning (AutoML)
The demand for AutoML tools is expected to grow by 40% in the next two years as organizations seek to streamline model deployment and reduce the time to insights.
Rise of Edge Computing in Data Science
By 2025, it is projected that 75% of data will be processed at the edge, driving the need for data scientists to adapt their models for real-time analytics.
Focus on Ethical AI and Responsible Data Use
Over 60% of organizations are prioritizing ethical AI practices, leading to a surge in demand for data scientists skilled in causal inference and bias detection.

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