Software Patent Analyst – AI

Job Title: Software Patent Analyst – AI & Drug DiscoveryLocation: Onsite/HybridDepartment: Intellectual Property & Computational R&DExperience: 1–5 YearsQualification: M.Tech / MS in Biotechnology, Bioinformatics, Computer Science, Computational Biology, or related technical fieldRole OverviewThis 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 Responsibilities1. 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.