CareerPlanGet AI match score →

Principal Scientist – AI/ML Workflow & Ecosystem Lead (Large Molecule Discovery Informatics)

India - Hyderabad🌐 Remote💼 Full-time🗓 2026-04-07 → 2026-07-31

Core

Lead the integration and scaling of AI/ML capabilities across the Large Molecule Discovery (LMD) informatics ecosystem, translating advanced computational models into robust, production-ready solutions embedded within scientific workflows.

Role type

Principal Scientist, AI/ML Workflow & Ecosystem Lead

Builds

Production-ready AI/ML solutions for Large Molecule Discovery (biologics research)

Domain

Biotechnology / Large Molecule Discovery Informatics

Deliverable

production ML models

Required skills

PhD or equivalent (MD/PharmD) with 5+ years experience, AI/ML model deployment, multidisciplinary team leadership, data standards definition, workflow integration, ontology and metadata framework design, cross-functional stakeholder alignment, scientific data platform management

Preferred skills

PhD with 5+ years in biotech/pharma R&D, large molecule/biologics discovery workflow expertise, machine learning lifecycle management, scalable system integration, ML-ready dataset development, complex cross-functional initiative leadership, digital capability adoption measurement

Technologies

None explicitly listed

Responsibilities

Lead transition of AI/ML models from research to production within LMD; Lead and develop multidisciplinary team for AI enablement and workflow integration; Drive adoption of AI/ML capabilities by defining research-to-production handoff patterns; Provide coaching and execution oversight for high-quality scalable capabilities; Establish best practices for model reproducibility, documentation, and governance; Partner with scientists to identify high-impact AI/ML integration opportunities; Translate scientific needs into technical requirements and deliver scalable solutions; Partner across functions to ensure availability of high-quality ML-ready datasets; Enable standardization of complex biological data; Define and advance ontology and metadata frameworks; Monitor adoption and impact of deployed AI/ML capabilities; Lead cross-functional initiatives to ensure alignment and deliver integrated solutions at scale

Seniority

Principal, strategy & mentorship

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗