Software Patent Analyst – AI & Drug Discovery

Job Title: Software Patent Analyst – AI & Drug Discovery

Location:

Department:

Experience:

Qualification:

Role Overview

software engineering

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.