We are seeking a proactive Analyst to support the development and validation of an AI/ML-powered pharmacovigilance product. This hybrid role requires a strong understanding of pharmacovigilance workflows, regulatory expectations/guidelines and the ability to translate those into system requirements and validation logic. You’ll also be involved in end-to-end functional testing, ensuring the product compliance. Key Responsibilities: Collaborate with the subject matter experts (SMEs) and the technical team to gather document functional and regulatory requirements for each module. Define and prioritize user stories, acceptance criteria, and data mapping specifications. Act as a bridge between business teams and technical teams to ensure alignment on product goals. Assist in regulatory compliance discussions and documentation. Perform testing and validation of the application to ensure it meets all the specified requirements and compliance. Validate data integrity, completeness, and compliance with safety reporting regulations. Required Skills & Qualifications: Experienced analyst who can perform a hybrid role of Business Analyst and QA Specialist for an AI/ML Product Familiarity with regulations and safety data standards. Proficiency in tools like JIRA, Confluence, and familiarity with Office / M365 tools. Experience in functional testing, validation and User Acceptance Testing (UAT). Excellent analytical thinking, attention to detail, and documentation skills. Nice to Have: Exposure to AI/ML product, especially with NLP and LLMs in healthcare. Experience working with AI/ML product requirements gathering or validating AI-generated data. Knowledge of validation frameworks. Educational Background: Bachelor’s or Master’s in Life Sciences, Pharmacy, Computer Science, Bioinformatics, or related discipline. Certifications with respect to domain or product development or BA or QA is an advantage. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: AI in Life Sciences, Healthcare & Pharmacovigilance: 2 years (Preferred) Work Location: In person Speak with the employer +91 9310819196
We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person
We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Selaiyur, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Selaiyur, Chennai, Tamil Nadu (Preferred) Work Location: In person
We are seeking a dedicated and technically sound Desktop Support Engineer to join our IT team in Chennai. The ideal candidate will have 2–3 years of hands-on experience , preferably within a healthcare or PV/CRO environment , providing user support, maintaining GDPs-compliant systems, and ensuring IT infrastructure supports regulated clinical and pharmacovigilance operations. Key Responsibilities Provide Level 1 & Level 2 support for desktops, laptops, printers, and mobile devices. Install, configure, and troubleshoot Windows OS, MS Office 365, and specialized tools used in PV/CRO (e.g., Argus Safety, Track Wise, clinical databases). Ensure compliance with GDPs , 21 CFR Part 11 , and HIPAA standards during support activities. Support user onboarding/offboarding, access rights, and hardware setup. Maintain detailed documentation of incidents, resolutions, SOPs, and system changes. Collaborate with IT infrastructure, validation, QA, and business teams on IT initiatives. Assist during system audits and support CAPA-related IT actions. Maintain IT asset inventory, conduct system health checks, and schedule routine maintenance. Required Skills & Qualifications Bachelor's degree in Computer Science , Information Technology , or related field. 2 to 3 years of relevant experience in desktop support or IT helpdesk roles. Experience supporting users in healthcare, pharma, or clinical research domains. Strong troubleshooting knowledge of Windows OS , Office 365 , Active Directory , VPN, and remote access tools. Familiarity with ticketing systems (e.g., Jira, ServiceNow). Understanding of GDPs systems, IT compliance , and audit documentation . Preferred Qualifications Certifications like CompTIA A+ , MCSA , or ITIL Foundation . Exposure to Argus Safety , Track Wise , or clinical EDC platforms . Experience working under IT SOPs in a regulated environment. Knowledge of basic networking and endpoint protection tools. What We Offer Competitive salary & performance-based bonuses Opportunity to grow within the clinical research / healthcare IT space Collaborative and compliance-focused work environment Exposure to global clients and regulated IT systems Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: desktop eng: 2 years (Required) Language: Englih,Tamil (Preferred) Work Location: In person
Key Responsibilities Provide Level 1 & 2 support for desktops, laptops, printers, and mobile devices. Install, configure, and troubleshoot: Windows OS Microsoft Office 365 Specialized PV/CRO tools (e.g., Argus Safety , Track Wise , clinical databases ) Ensure all support is compliant with: GDP (Good Documentation Practices) 21 CFR Part 11 HIPAA regulations Support user onboarding/offboarding , access management, and hardware setup. Maintain detailed documentation of incidents, resolutions, SOPs, and changes. Collaborate across teams for IT infrastructure , Validation , QA , and Business stakeholders . Assist with system audits , CAPA actions , and regulatory IT support . Maintain IT asset inventory and perform routine system health checks. Additional Responsibilities (Cloud & Development) Provide basic support for cloud infrastructure (e.g., Microsoft Azure , AWS , or Google Cloud ). Assist in deploying or troubleshooting cloud-based applications used by the business. Contribute to simple automation scripts , internal tools , or in-house utilities (e.g., using Python, PowerShell, or any scripting language). Collaborate with developers or DevOps teams on issue triaging and testing environments . Required Skills & Qualifications Bachelor's degree in computer science, Information Technology , or related field. Minimum 3 years of experience in desktop support or IT helpdesk roles. Experience supporting users in healthcare, pharma, or clinical research domains. Strong understanding of: Windows OS Office 365 Active Directory VPN , remote access tools Familiarity with ticketing systems (e.g., Jira, ServiceNow). Basic knowledge of cloud services (Azure, AWS, GCP). Ability to read/write simple scripts or code for automation or diagnostics. Understanding of IT compliance , GDP systems , and audit processes . Preferred Qualifications Certifications: CompTIA A+ , MCSA , ITIL Foundation , or Cloud Certifications (Azure Fundamentals). Exposure to: Argus Safety , Track Wise , or EDC platforms Cloud infrastructure and SaaS-based tools Experience working under SOPs in regulated IT environments . Programming or scripting experience in Python , PowerShell , or Shell scripting . What We Offer Competitive salary & performance-based bonuses Career advancement in healthcare IT & clinical research Cross-functional exposure: IT support , compliance , cloud , and development Work with global clients in a regulated, collaborative environment Job Types: Full-time, Permanent Pay: ₹16,667.00 - ₹33,333.00 per month Ability to commute/relocate: Selaiyur, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Mention your DOB & Current LPA and Expected LPA on your resume Education: Bachelor's (Required) Experience: desktop support or IT helpdesk: 3 years (Required) Language: English, Tamil (Required) Work Location: In person
We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Selaiyur, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Selaiyur, Chennai, Tamil Nadu (Preferred) Work Location: In person