Software Patent Analyst – AI
1 week ago
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.
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