Software Patent Analyst – AI & Drug Discovery

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.