As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact. You’ll work at the intersection of research, engineering, and healthcare, partnering with engineers and clinicians to build systems that deeply understand patient records and improve hospital outcomes. This is a senior, high-impact role where you’ll not only execute on ambitious ideas but also shape the team’s research agenda and standards.

You will be expected to operate with a high degree of autonomy—identifying promising research directions, critically evaluating academic work, and ensuring that what gets built is both scientifically sound and practically useful. Your work will directly influence how we evaluate models, detect hallucinations, and build high-quality datasets, ultimately improving the reliability of AI in healthcare.

**This role is fully remote within the US**

What You’ll Do

• Lead end-to-end ML research, from idea generation to production deployment and monitoring
• Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data
• Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability
• Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity
• Critically assess academic literature to identify strong vs weak methods, and translate the best ideas into practice
• Establish best practices for experimental design, including statistically sound evaluation and reproducibility
• Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment)
• Develop methods for long-context and multimodal modeling (structured + unstructured clinical data)
• Mentor other researchers and help raise the bar for research quality across the team
• Contribute to external presence through papers, talks, and recruiting

What You Bring

• Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
• Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs
• Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and mitigate them
• Experience designing rigorous evaluation frameworks and building high-quality test datasets
• Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset)
• Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems)
• Deep understanding of modern neural architectures (transformers, SSMs, encoder/decoder models, etc.)
• Strong programming skills in Python and ML frameworks such as PyTorch or JAX
• Experience deploying ML models into production systems and monitoring their performance
• Clear and proactive communicator, able to explain complex ideas and critique work effectively

Nice To Haves

• Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding)
• Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure)
• Experience working with clinical or healthcare data
• Background in retrieval systems, graph-based learning, or multimodal modeling

Our Tech Stack

• PyTorch, Hugging Face Transformers, Python
• AWS (MWAA), Kubernetes, SLURM
• DeepSpeed, TorchTune
• Snowflake, Airflow, GitHub

Compensation

$220k-260k base salary

#LI-Remote

Role

As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team.

What You'll Do

• 45% Hands-on implementing new methods and relevant baseline models (ML Research)
• 20% Working cross-functionally to deploy models into production (MLOps, MLE)
• 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise)
• 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting)
• Become a domain expert at clinical data and the healthcare ecosystem
• Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps)
• Post training to align large language models (LLMs) on proprietary clinical data
• Develop new self-supervised pre-training tasks for improving models
• Develop novel retrieval, attribution and hallucination detection strategies for generative models
• Develop novel methods for explaining and summarizing diagnostic classifications
• Develop methods for selecting data sources to include in training (data-centric AI)
• Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels
• Develop novel methods for multimodal data fusion (structured and unstructured data)
• Long-sequence language modeling

What You Bring

• Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps)
• With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving
• Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed
• Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc
• Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv)

Nice To Haves

• MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens
• Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding

Our Tech Stack

• PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes

Compensation

$200-220k+ base salary

#LI-Remote

#LI-DNP

Role

We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers.

**This role is fully remote within the US**

What You'll Do

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

What You Bring

• 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep)
• Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations
• Masters in statistics or other relevant fields preferred
• Ownership: Build and own features from start to finish.
• Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights.
• Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so.
• Product focus: How can we maximize the utility and value we deliver to our end users?
• Familiarity with experiment design and statistical analysis

Nice To Haves

• Experience with health system clinical and/or revenue cycle data is preferred

Our Tech Stack

• Data Visualization: Hex and Evidence
• Analysis: Python & Data Science libraries (numpy, pandas, etc)
• Pipelines: Snowflake, dbt, airflow, git, and AWS

Compensation

$160,000 - $190,000

#LI-Remote

Role

We are seeking a Senior Business Analyst to join our Data & Analytics team in support of the Customer Success team. In this role, you will leverage your analytical expertise and business acumen to unlock the value of SmarterDx’s data assets, drive critical insights for both internal and external stakeholders, and deliver meaningful outcomes that strengthen customer trust. You will be embedded within the Customer Success team and partner closely with cross-functional stakeholders to elevate our customers’ experience and optimize business performance.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

**This role is fully remote within the US**

What You’ll Do

• Create Data-Driven Narratives: Craft compelling, results-oriented narratives that highlight client performance, uncover opportunities for optimization, and support strategic decision-making.
• Translate Data into High Impact Narratives: Synthesize complex analyses into clear, compelling, and actionable narratives that inspire customers, highlighting business impact and strategic recommendations.
• Drive Exploratory Analysis & Insight Generation: Independently scope and execute exploratory analyses using advanced SQL and analytical tools to answer ambiguous, high-priority business questions. Rapidly prototype and iterate on analyses to validate hypotheses and inform direction.
• Build Relationships: Develop strong working relationships with Customer Support and clients. Ask targeted questions and partner with executive-level stakeholders to understand the “why” behind requests and align analytics with business objectives.
• Bridge Business and Technical Teams: Serve as the liaison between technical and business teams, articulating complex findings in clear, actionable ways while influencing team roadmaps and product strategy.
• Champion Data Quality and Analytical Rigor: Set a high bar for data integrity and analytical excellence. Lead validation processes, ensure accuracy, and drive best practices across teams through peer review and collaboration.
• Lead Strategic Client Analytics: Own and drive high-impact analyses that inform client strategy, uncover opportunities for revenue optimization, and influence client product adoption.

What You Bring

• 5+ years of experience in business intelligence, data analytics, or a related field, with a demonstrated track record of driving business impact.
• Revenue Cycle Expertise: strong conceptual understanding of inpatient mid-revenue cycle processes and data.
• Advanced SQL Fluency: with the ability to write, optimize, and scale complex queries for ambiguous problem spaces.
• Strong BI & Data Storytelling Skills, with a passion for building tools and narratives that empower decision-making.
• Strategic Insight Generation, with a proven ability to translate complex data into clear, actionable recommendations.
• Commitment to Data Integrity, with rigorous validation practices and experience leading quality assurance efforts.
• Ownership Mindset, thriving in ambiguity and taking initiative to define problems, not just solve them
• Problem-solving skills: Distinctive ability to identify patterns, prioritize what's critical, and focus on impactful solutions.
• Executive Communication Skills, with the ability to influence senior stakeholders and adapt messaging across audiences.

Our Tech Stack

• Data Visualization: Hex and Omni
• Analysis:  SQL (Snowflake)
• Pipelines: dbt, airflow, git, and AWS

Compensation

$130,000 - $150,000

Role

SmarterDx is seeking a Manager of Data Engineering, Development to lead and grow a high-performing data engineering team responsible for building next-generation data pipeline capabilities, architecting scalable data solutions, and developing new data products to power our clinical AI applications. You will drive innovation in our data stack and data pipelines, establish technical best practices, and ensure robust, observable, and cost-effective data architectures. You will set clear objectives, mentor engineers, as well as partner closely with Product, Clinical, Data Science, and Software Engineering teams to deliver transformative data capabilities.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

**This role is fully remote within the US**

What You'll Do

• Lead, coach, and develop a team of senior data engineers with a focus on technical innovation, platform capabilities, and engineering excellence.
• Contribute to the data engineering product roadmap by designing and implementing new data pipeline architectures, patterns, and reusable frameworks.
• Architect scalable data solutions using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to enable advanced analytics and ML capabilities.
• Establish development standards and best practices including code reviews, testing frameworks, CI/CD pipelines, and documentation standards.
• Develop sophisticated data models and transformations using advanced dbt patterns (custom macros, packages, incremental models) to enhance our production pipelines
• Collaborate cross-functionally to help translate business requirements into technical solutions and drive innovation initiatives.
• Develop automated data quality frameworks, monitoring solutions, and observability tools to ensure data reliability at scale.
• Create developer productivity tools and accelerators that enable the team to deliver features faster with higher quality.
• Drive technical design reviews, architectural decisions, and technology evaluations to ensure platform scalability and maintainability.

What You Bring

• 7+ years of data engineering experience, including leadership of engineers and technical projects (architecture, design, delivery).
• Deep expertise with modern data stack: advanced dbt development, Snowflake optimization, Python, and SQL at scale.
• Strong expertise with AWS cloud architecture skills: hands-on experience in serverless and infrastructure-as-code patterns.
• Proven track record building and scaling data platforms that support analytics, ML, and product features.
• Developer excellence mindset with expertise in Git, CI/CD, testing, code reviews, and agile development practices.
• Demonstrated ability to drive technical innovation while balancing technical debt, performance optimization, and feature delivery.
• Excellent communication and technical leadership skills: comfortable driving architectural decisions and mentoring senior engineers.
• Experience in healthcare datasets with understanding of the inherent contextual and relational complexities within healthcare data.

Nice To Haves

• Experience at a scale-up or rapid-growth technology company.
• Advanced Snowflake features expertise (streams, tasks, dynamic tables, data sharing).
• Infrastructure-as-code proficiency (AWS CDK, CloudFormation, Terraform).
• ML engineering experience: feature stores, model deployment, MLOps practices.
• Healthcare interoperability knowledge (HL7, FHIR, CCD/C-CDA).
• Certifications: Snowflake (SnowPro Advanced), AWS (Data Analytics or Solutions Architect Professional), dbt, or healthcare data (CHDA/RHIA).
• Experience building data mesh architectures or domain-driven data platforms.

Our Tech Stack

• Databases: Snowflake (primary), Postgres
• Cloud Infrastructure: AWS (CDK, S3, MWAA, EventBridge, Batch, Lambda, Step Functions), FiveTran
• Technologies: SQL, dbt, Python

Compensation

$190,000 - $220,000

#LI-Remote

Role

As a Senior Data Scientist at SmarterDx, you will play a pivotal role in training cutting-edge machine learning models and ensuring their strategic integration into our Clinical AI Platform. Your work will focus on maximizing the business impact of deployed models by optimizing business logic, refining decision frameworks, and accelerating the end-to-end process of model development and deployment. You will collaborate closely with cross-functional teams to enhance our models’ clinical intelligence and delight our customers. This is a high-impact role ideal for someone who thrives in a fast-paced environment and is eager to see their work translate into tangible business outcomes.

**This role is fully remote within the US**

What You’ll Do

• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
• Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
• Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
• Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
• Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
• Adapt and enhance existing modeling approaches to drive impact in new product areas.
• Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

What You Bring

• 3+ years of experience in data science, machine learning, or a related field, preferably in a product-driven environment.
• Strong proficiency in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
• Deep understanding of statistical modeling, optimization techniques, and data analysis.
• Experience working with structured and text data, including feature engineering and data preprocessing.
• Ability to translate business objectives into data science problems and effectively communicate results to stakeholders.
• Experience deploying machine learning models into production and optimizing model performance based on real-world feedback.
• Strong collaboration skills and the ability to work across cross-functional teams including Engineering, Product, and Analytics.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
• A problem-solving mindset with the ability to balance technical rigor with practical business impact.

Nice To Haves

• Experience in healthcare or revenue cycle management.
• Familiarity working with large-scale data warehouses such as Snowflake.
• Experience building internal tools or infrastructure to support machine learning experimentation and deployment.
• Previous experience working in a startup or high-growth environment.
• Knowledge of explainable AI techniques and model interpretability best practices.
• Experience developing products leveraging Large Language Models (LLMs).

Our Tech Stack

• Python
• SQL
• PyTorch
• Sagemaker
• Snowflake

Compensation

$190 to 220k base

#LI-Remote

#LI-DNP

Role

As Director of Data Science at SmarterDx, you will own the direction and impact of data science across multiple product areas within our Clinical AI platform at a moment of rapid product and company growth. You will translate company strategy into clear priorities and lead teams responsible for production machine learning systems that directly shape clinical workflows and business outcomes.

This role blends technical and people leadership with close partnership across Product, Engineering, and Clinical teams. You will set modeling and quality standards, develop managers and senior individual contributors, and guide machine learning systems from concept through responsible deployment in real healthcare environments, building reliable systems and teams that customers and clinicians depend on.

**This role is fully remote within the US**

What You’ll Do

• Own and evolve the Data Science strategy across multiple product areas, translating company and product objectives into a clear, prioritized roadmap with measurable business impact.
• Drive portfolio-level prioritization, balancing near-term delivery with longer-term platform and capability investments.
• Set technical direction and standards for production ML systems, with end-to-end ownership from problem framing and data strategy through deployment, monitoring, and iteration.
• Partner closely with Product, Engineering, Clinical, and Operations leaders to embed data science into product workflows and decision-making.
• Represent Data Science in product planning and executive forums, communicating tradeoffs, risks, and impact to senior stakeholders.
• Lead and scale the Data Science organization, including managers, senior ICs, and emerging leaders, with clear expectations and ownership.
• Own hiring, onboarding, and talent development, building durable career paths and a high-performing organization.
• Champion responsible, interpretable, and clinically sound AI, ensuring models are appropriate for healthcare use and real-world deployment.

What You Bring

• 10+ years of experience in data science, machine learning, or a related field, including significant people leadership responsibility.
• Proven experience owning outcomes across multiple teams or product areas.
• Track record of influencing executive stakeholders and shaping company strategy.

• Deep expertise in machine learning fundamentals, with demonstrated ability to architect ML systems and set technical direction for senior teams.
• Experience with NLP and healthcare data, including structured and unstructured clinical text.
• Deep understanding of model evaluation, monitoring, experimentation, and real-world feedback loops.
• Familiarity with modern ML platforms, cloud infrastructure, and MLOps best practices.

• Demonstrated ability to connect technical work to revenue, margin, and customer outcomes.
• Exceptional communication skills, with the ability to translate complex technical concepts for non-technical audiences.
• Strong judgment in balancing speed, rigor, and long-term scalability.

Nice To Haves

• Prior experience leading Data Science at a high-growth startup.
• Experience with revenue cycle management or hospital operations.
• Knowledge of explainable AI and regulatory considerations in healthcare.
• Experience building or scaling ML platforms used by multiple teams.
• Experience leveraging Large Language Models (LLMs) in production systems.

Our Tech Stack

• Python
• SQL
• PyTorch
• SageMaker
• Snowflake

Compensation

$260k to 280k base + equity incentives

#LI-Remote