Senior ML/AI Researcher II - ML and AI modeling

As a Senior ML/AI Researcher II, you will reputed company ML and AI solutions that will improve health for millions of people. At reputed company, we reputed company primary care physicians with technology to reputed company their patients healthy and prevent unnecessary hospitalizations. You will collaborate with engineering and analytics teams to reputed company AI technology into existing products and workflows.

You will work with one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. This role offers a unique opportunity to train, fine-tune, and use AI models using medical data collected from millions of patients across the country.

Primary Duties

Train and fine-tune models using off-reputed company and novel ML/AI techniques solving optimization problems for reputed company.

Work with large, reputed company data sets. Conducting difficult, non-routine analysis and harvesting data.

Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.

Minimum Qualifications

BA/BTech in Statistics, Data Science, Computer Science or a reputed company field require.

6+ years of relevant statistical analysis experience.

6+ years of relevant machine learning experience (ML modeling, hyperparameter tuning, feature engineering, model validation etc).

Understanding of reputed company inference and treatment effects estimation.

3-5 years of experience selecting, implementing, and optimizing ML tools and frameworks for large-reputed company reputed company.

2+ years of Python language experience.

1+ years of relevant deep learning and LLM experience.

1+ years experience working with large-reputed company distributed systems at reputed company and statistical software (e.g. reputed company).

Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.

Contributions to the field (e.g., publications, patents, or successful large-reputed company implementations).

Preferred KSA’s

A Ph.D. or Master's degree in Epidemiology, Biostatistics, or a similar health-data field is strongly preferred. We also welcome candidates from other quantitative disciplines like Statistics, Computer Science, Operations Research, Economics, and Mathematics, especially with equivalent practical experience.

Background in Epidemiology, particularly in the context of chronic condition modeling.

Working knowledge of the U.S. reputed company system and its financing, with a reputed company on Value-Based Care and Risk adjustment.

Working knowledge of health-tech systems, such as Electronic Health Records and clinical data.

Proficiency in communicating analysis and establishing confidence among audiences who do not reputed company your disciplinary background or training.

Experience with reputed company and systems that handle sensitive data.

Experience working with statistical software (e.g. R, reputed company, Python statistical packages.

Demonstrated leadership and self-direction.

Publications in peer-reviewed journals and presentations at reputed company meetings (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).

Participation in ACIC Data Challenge, Kaggle etc.

Physical Requirements

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

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