Senior AI/ML Scientist – Healthcare & Clinical Analytics

Work Model: Onsite (5 Days Working from Office)

Shift Timing: US Business Hours / Night Shift (Starting around 6:30 PM IST)

Compensation: Up to ₹32 LPA

About the Role

We are hiring experienced Data Science professionals with strong exposure to healthcare and clinical research analytics to work on advanced AI/ML initiatives supporting global pharmaceutical programs.

This opportunity is ideal for candidates who have hands-on experience working with clinical or biomedical datasets and enjoy solving complex business problems using machine learning, statistical modeling, and large-scale data engineering techniques.

Key Responsibilities

Design and implement advanced analytics and machine learning solutions for healthcare and life sciences use cases.
Analyze structured and unstructured clinical datasets to generate actionable insights for research and development initiatives.
Collaborate with cross-functional teams including clinical operations, biostatistics, medical affairs, and business stakeholders.
Develop predictive models, statistical frameworks, and scalable analytical pipelines for real-world healthcare applications.
Perform exploratory analysis, feature engineering, model validation, and performance optimization on high-volume datasets.
Work with cloud-based or distributed data platforms to build efficient and reproducible workflows.
Translate technical findings into meaningful business recommendations through dashboards, storytelling, and visualization.
Ensure analytical outputs align with quality, compliance, and industry data governance standards.
Contribute to innovation initiatives within healthcare AI, clinical intelligence, and advanced analytics programs.

Required Qualifications

4+ years of experience in Data Science, Machine Learning, or Advanced Analytics within Pharma, Healthcare, Clinical Research, Medical Devices, or Bio-Pharma domains.
Strong hands-on experience with Python and/or R for data analysis and machine learning.
Solid understanding of statistical analysis, predictive modeling, and healthcare-focused ML applications.
Experience handling clinical trial, patient, treatment, or healthcare-related datasets in regulated environments.
Exposure to distributed computing, cloud analytics platforms, or big data ecosystems such as Spark/Fabric environments is highly preferred.
Ability to independently drive analytical projects and work in ambiguous problem-solving environments.
Strong communication and stakeholder management skills.

Preferred Experience

Prior experience supporting US-based pharmaceutical or healthcare clients.
Knowledge of therapeutic areas such as Oncology, Hematology, Immunology, Dermatology, or related specialties.
Experience with longitudinal analysis, survival models, explainable AI, or healthcare visualization techniques.
Familiarity with industry-standard clinical data structures and healthcare analytics workflows

What We're Looking For

Self-driven professionals who can independently manage analytical initiatives.
Individuals comfortable working in a fast-paced, highly collaborative environment.
Candidates with strong business understanding alongside technical depth in machine learning and healthcare analytics.

Senior Data Scientist (AI/ML) – Healthcare & Clinical Analytics