Software Patent Analyst – AI

Job Title: Software Patent Analyst – AI & Drug Discovery Location: Onsite/Hybrid Department: Intellectual Property & Computational R&D Experience: 1–5 Years Qualification: M.Tech / MS in Biotechnology, Bioinformatics, Computer Science, Computational Biology, or related technical field Role Overview This role sits at the intersection of software engineering, AI/ML systems, and drug discovery pipelines. As a Software Patent Analyst, you will evaluate and draft patents related to computational models, algorithmic frameworks, data pipelines, molecular simulation tools, and AI-driven discovery platforms. You’ll identify protectable innovations, assess IP risks, and build a strong patent portfolio for next-gen digital biology products. Key Responsibilities 1. Advanced Patent Search & IP Analytics - Execute FTO searches, Novelty Searches, and Prior Art Searches specific to: - Machine learning architectures (e.g., GNNs, transformers used in molecule prediction) - Software pipelines for target identification, QSAR modeling, docking, virtual screening - Cloud-based computational platforms for drug discovery - Analyze claims and map them against: - Algorithmic steps - Data structures - Model architectures - Software modules and APIs - Generate Patentability Reports, Claim Charts, and Technology Mapping Documents. 2. Patent Drafting – Software + Computational Biology - Draft detailed software + algorithm-centric patent specifications, including: - System architecture - Data flow diagrams - Model training workflows - Feature engineering pipelines - Molecular representation techniques (SMILES, fingerprints, embeddings) - Prepare claim sets covering: - Method claims (ML workflows, computational processes) - System claims (AI platforms, computational frameworks) - Computer-readable medium claims - Collaborate with inventors to capture both technical effect and novel algorithmic implementation. 3. Patent Filing & Prosecution Support - Support drafting of provisional, non-provisional, and PCT applications. - Prepare technical responses to office actions, focusing on algorithmic novelty and inventive step. - Coordinate with patent attorneys on claim amendments and prosecution strategy. 4. Technical Evaluation & Deep-Dive Analysis - Review source code architectures, model design documents, and software product flows. - Evaluate: - Novelty in ML architectures for molecule generation/optimization - Data engineering logic (ETL, preprocessing, feature selection) - Cloud-native deployment of AI drug discovery workflows - Assess scientific publications and compute-heavy pipelines for patentability. 5. Competitive Intelligence (Tech + Bio) - Track global IP filings across: - AI drug discovery platforms - Computational chemistry models - Generative ML frameworks for molecule design - Bioinformatics software tools - Develop landscape reports highlighting whitespace in algorithmic innovation. Required Skills & Technical Qualifications - M.Tech/MS in Bioinformatics, Computer Science, AI/ML, Biotechnology, or related field. - Experience in: - Patent Drafting (software + algorithm emphasis) - FTO, Novelty & Prior Art Searches - IP mapping for AI/ML techniques - Strong understanding of: - Machine learning workflows (training, inference, optimization) - Drug discovery AI tools (Docking, QSAR, molecular dynamics, GNNs, generative models) - Software architectures, APIs, cloud platforms - Hands-on familiarity with patent databases: - USPTO, EPO, WIPO, Derwent, Orbit, PatBase - Ability to convert technical descriptions into claim-worthy IP language. - Excellent analytical writing and documentation skills.