Sr.Data Scientist

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Job: Data Scientist (Healthcare)

Location: Remote

Exp: 10+ years

We are looking for a Data Scientist specializing in Recommender Systems to develop personalized healthcare recommendation models that improve patient outcomes, enhance clinical decision-making, and optimize user engagement on digital health platforms. You will work on AI-driven recommendation engines for medication adherence, treatment pathways, clinical decision support, and personalized wellness programs.

Required Skills & Qualifications:

3+ years of experience in Machine Learning, Deep Learning, and Recommender Systems in a healthcare or digital health setting.

Strong programming skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.

Experience working with medical datasets such as EHRs, claims data, clinical trial data, and genomic data.

Solid knowledge of collaborative filtering (ALS, SVD, NMF), content-based filtering, and hybrid models.

Understanding of healthcare ontologies (SNOMED-CT, ICD-10, RxNorm, UMLS) for structured recommendation models.

Proficiency in Big Data technologies such as Apache Spark, Hadoop, and Kafka for large-scale patient data processing.

Hands-on experience with ML model deployment (Docker, Kubernetes, MLflow, Airflow).

Strong understanding of evaluation techniques for recommendation models, including real-world testing and A/B testing in healthcare settings.

Preferred Qualifications:

Master s or PhD in Computer Science, AI, Machine Learning, Bioinformatics, or a related field.

Experience in digital therapeutics, personalized medicine, or AI-driven clinical decision support systems.

Familiarity with Federated Learning to ensure patient data privacy and compliance with HIPAA & GDPR.

Experience working in HealthTech, Pharma, Hospitals, or Medical AI startups.

Knowledge of FHIR, HL7, and other healthcare interoperability standards for integrating AI recommendations into clinical workflows.