The Staff AI Researcher is responsible for developing advanced artificial intelligence solutions
that improve health outcomes for millions of patients by empowering primary care physicians
with technology that keeps patients healthy and prevents unnecessary hospitalizations. The Staff
AI Researcher collaborates with engineering and analytics teams to bring AI technologies into
existing products and workflows. Additionally, the role involves training, fine-tuning, and using
AI models harnessing knowledge from extensive data sets of medical records, diagnoses, claims,
and prescriptions collected from millions of patients across the country. Primary duties include
building working prototypes using off-the-shelf and novel AI techniques to deliver higher levels
of optimization for the company; working with large, complex data sets and solving difficult,
non-routine analytical problems to harvest data; redesigning existing pipelines and systems to
meet growing data and query needs; implementing techniques for fine-tuning and adapting pre-
trained generative models to specific healthcare domains or tasks; developing evaluation metrics
and benchmarks to assess the quality and performance of AI/ML models; designing and
implementing feature engineering pipelines, including data processing, feature extraction, and
transformation to optimize model performance; setting and upholding standards for engineering
processes, including style and code checking, test harnesses, and release packaging; and
delivering working proof-of-concept solutions that balance speed, scalability, and time-to-market
considerations.
This is a remote work position. Multiple positions are available.
Minimum Requirements
quantitative field and six (6) years of machine learning and statistical analysis experience. The
position also requires demonstrated knowledge and experience with the following: three (3)
years of deep learning and large language model experience; three (3) years of Python
experience; three (3) years of proficiency in selecting the right tools given a data optimization
problem; addressing challenges from incomplete, unrepresentative, and mislabeled data; and
large-scale distributed systems at scale and statistical software (e.g., Spark).
This is a remote work position.
Skills Required
- Master's degree in Computer Science or related field
- 6 years of machine learning and statistical analysis experience
- 3 years of deep learning and large language model experience
- 3 years of experience with Python
- Experience with large-scale distributed systems and statistical software
Aledade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aledade and has not been reviewed or approved by Aledade.
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Fair & Transparent Compensation — Pay is often characterized as fair or pretty good for the work, with occasional remarks that compensation is among the best experienced in a career.
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Leave & Time Off Breadth — Time off provisions stand out, including a strong PTO allotment early on and an additional long-tenure sabbatical benefit.
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Parental & Family Support — Paid parental leave is positioned as a meaningful, broadly applicable benefit for new parents.
Aledade Insights
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
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