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Mid-level ML/data role with common 2–4 years and broad, non-niche skillset.
Life-sciences subject-matter experience preferred, but core ML/data skills remain transferable across industries.
Explicit 2–4 years, mandatory AI/ML skills and life-sciences experience increase filter strictness.
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Provide advanced analytical support on complex projects for life sciences clients, focusing on data science and AI-driven solutions.
Lead and manage the India-based delivery team to ensure high-quality project execution, client satisfaction, and timely deliverables.
Develop and enhance company services and relationships, support business growth, mentor team members, and collaborate with international clients.
Graduate or Master’s degree from a Tier-I/Tier-II institution in computer science, engineering, statistics, or a relevant field.
2-4 years of experience in data science with demonstrable impact in pharmaceutical and life sciences industry analytics.
Proficiency in AI/ML technologies (Gen AI experience is a plus), analytics and visualization tools (e.g., Python, Alteryx, Tableau, PowerBI), and cloud platforms (AWS, Azure, or GCP).
Ability to work with US clients during US working hours and lead/mentor junior team members effectively.
Experienced analyst with proven success in executing data and AI/ML projects related to drug commercialization and life sciences analytics.
Hands-on leader who can manage delivery teams, lead complex projects, and build strong client and internal relationships across international, matrixed environments.
Skilled in translating unstructured, real-world pharmaceutical problems into innovative, data-driven recommendations and solutions.