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.