Software Patent Analyst – AI
23 hours 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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