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 architectureData flow diagramsModel training workflowsFeature engineering pipelinesMolecular representation techniques (SMILES, fingerprints, embeddings)Prepare claim sets covering :Method claims (ML workflows, computational processes)System claims (AI platforms, computational frameworks)Computer-readable medium claimsCollaborate 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 / optimizationData engineering logic (ETL, preprocessing, feature selection)Cloud-native deployment of AI drug discovery workflowsAssess scientific publications and compute-heavy pipelines for patentability.5. Competitive Intelligence (Tech + Bio)
Track global IP filings across :AI drug discovery platformsComputational chemistry modelsGenerative ML frameworks for molecule designBioinformatics software toolsDevelop 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 SearchesIP mapping for AI / ML techniquesStrong understanding of :Machine learning workflows (training, inference, optimization)Drug discovery AI tools (Docking, QSAR, molecular dynamics, GNNs, generative models)Software architectures, APIs, cloud platformsHands-on familiarity with patent databases :USPTO, EPO, WIPO, Derwent, Orbit, PatBaseAbility to convert technical descriptions into claim-worthy IP language .Excellent analytical writing and documentation skills.