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all.healthAL

Bayesian Data Scientist – Advanced AI & Modeling

all.health is a health-tech company that provides a platform for continuous, remote care by combining machine learning with clinical expertise to offer personalized and proactive healthcare.

all.health

Employee count: 51-200

United States only
all.health is at the forefront of revolutionizing healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer.

Job Summary

  • We’re seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models, generative AI, and variational inference. This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models—driving real business impact.

Responsibilities

  • Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions.
  • Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks.
  • Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints.
  • Apply and innovate on methods like Bayesian neural networks, variational autoencoders, diffusion models, and Gaussian processes for modern AI use cases.
  • Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions.
  • Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design.
  • Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI.

Requirements/Qualifications:

  • Strong experience in Bayesian inference and probabilistic modeling: PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc.
  • Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability, or similar probabilistic programming tools.
  • Hands-on experience with classical ML and modern techniques, including deep learning, transformers, diffusion models, and ensemble methods.
  • Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration.
  • Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals).
  • Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas).
  • Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches.

Preferred Qualifications

  • M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field.
  • Background in generative modeling, Bayesian deep learning, signal/image processing, or graph models.
  • Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.).
  • Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases).Experience with recent trends such as foundation models, causal inference, or RL with uncertainty.
  • Track record of publishing or presenting work (e.g., NeurIPS, ICML, AISTATS, etc.) is a plus.

What we are looking for:

  • Curiosity-driven and research-oriented mindset, with a pragmatic approach to real-world constraints.
  • Strong problem-solving skills, especially under uncertainty.
  • Comfortable working independently and collaboratively across cross-functional teams.
  • Eagerness to stay up to date with the fast-moving AI ecosystem.
  • Excellent communication skills to articulate complex technical ideas to diverse audiences.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About all.health

Learn more about all.health and their company culture.

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At the heart of all.health is a deeply rooted mission to forge a new path in healthcare, one that is built on connection, proactivity, and accessibility for everyone. The company's culture is centered around the belief that technology, when thoughtfully designed and integrated, can bridge the gap between patients and their care teams, transforming a fragmented system into a continuous, supportive journey. This vision is brought to life by a team dedicated to creating a system that is not just for patients, but with them and their providers. The core philosophy is that healthcare innovation is only meaningful if it serves all people, breaking down traditional barriers like distance, cost, and physical limitations. By partnering directly with health systems, all.health fosters a collaborative environment where technology empowers clinicians, providing them with continuous data and evidence-based guidelines to make more informed decisions.

The team at all.health is driven by the goal of providing peace of mind. They are creating a future where a person's health is not just a series of isolated snapshots but a continuous narrative understood by both the individual and their doctor. This is achieved through their Integrated Continuous Management (ICM™) platform, which combines clinical-grade medical technology with a consumer-friendly wearable experience. This platform is more than just a data collection tool; it's a lifeline that strengthens the bond between patients and their local care teams. The culture at all.health is one of relentless innovation and a commitment to quality, as evidenced by their FDA-recognized system. They are building a world where healthcare is personalized, proactive, and predictive, ultimately empowering people to live their best and healthiest lives, with the reassurance that their care team is walking with them every step of the way.

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