About Triomics: /n Triomics helps oncology organizations scale clinical research and high-quality data creation without scaling headcount. Our AI platform - powered by OncoLLM™- automates the operational work behind trial screening, eligibility interpretation, and oncology data abstraction across Prism (trial matching), Harmony (registry + RWE curation), and Symphony (clinician copilot). Built for real-world hospital workflows, Triomics integrates with EHRs and CTMS systems and is deployed with leading academic cancer centers to improve speed, consistency, and audit-ready clinical accuracy. /n /n : /n Part of the Oncology Clinical Team, this role focuses on training, validating, and continuously improving AI-driven oncology data extraction and trial-matching systems.

This role collaborates closely with NLP, product, and operations teams to refine model outputs, build oncology data dictionaries, optimize abstraction logic, and ensure clinical accuracy across oncology workflows. /n /n Position Summary: /n This role works at the intersection of oncology and artificial intelligence. The role is responsible for evaluating and refining AI-generated outputs from electronic health records and clinical databases to ensure accuracy, consistency, and protocol alignment.

Responsibilities include validating model-driven eligibility determinations, tuning oncology data dictionaries, improving abstraction logic, and supporting AI model performance across solid and hematologic malignancies. /n /n Key Responsibilities: /n /n

- Review oncology patient cases for clinical trial eligibility using inclusion/exclusion criteria by validating and refining AI-assisted eligibility determinations.

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- Provide structured feedback to improve AI model performance on inclusion/exclusion logic.

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- Translate complex protocol requirements into structured, model-readable logic to enhance automated trial build and screening process.

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- Review and refine AI-extracted diagnostic, pathology, imaging, and treatment data for accuracy and protocol compliance.

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- Collaborate with NLP and product teams to tune oncology-specific data dictionaries and abstraction frameworks.

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- Define and improve abstraction rules to enhance automated clinical data structuring.

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- Serve as an oncology subject-matter expert to guide model optimization across solid and hematologic malignancies.

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- Identify systematic error patterns in AI outputs and propose workflow or model-level improvements.

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- Conduct second-level and quality-control reviews to benchmark AI performance.

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- Contribute to SOP development for AI-assisted abstraction workflows.

/n /n /n Qualification: /n /n

- 3+ years of experience in oncology clinical data abstraction, clinical research, or patient-treatment data analysis.

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- Strong oncology domain expertise across diagnosis, staging, grading, and systemic therapies.

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- Experience reviewing medical records for oncology clinical trials.

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- Comfort working with AI-assisted workflows and structured data systems.

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- Certification in Clinical Research or Clinical Data Management preferred.

/n /n /n Education: /n B.Sc (Nursing),



BDS, BAMS, BHMS, MDS, BPharm, MPharm /n /n Skills and Abilities: /n /n

- Excellent written and verbal communication skills; able to collaborate with internal and external stakeholders in a quick-paced environment.

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- Sound judgment in abstracting medical data, with the ability to work independently and to escalate or seek input when appropriate.

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- High adaptability to changing assignments, project requirements, training schedules, and occasionally suboptimal tools or databases.

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- Proficient with Microsoft Office (Word, Excel, Outlook, PowerPoint); able to create, maintain, and share professional documents and reports.

/n /n /n Why Join us ? /n 1. We are revolutionizing a unique industry that has the potential to impact and benefit patients /n from all over the world - you can create impact at scale. /n 2. We have had company - sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture . /n 3.

We are working on a few of the most challenging problems in a highly regulated industry which provides you an opportunity to solve some of the most interesting things. /n 4. You will get a chance to work with experts from multiple industries and the best in the industry Compensation. /n /n This role demands strong expertise in: /n /n

- Histological classification of solid malignancies - mainly breast, lung, GI, GU and Gynecological cancers.

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- Hematologic cancers (leukemia, lymphoma, myeloma) - Types, staging, diagnosis and treatment.

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- Biomarkers/tumor markers.

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- TNM classification.

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- Types of cancer therapy in detail.

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- Mechanism of action of chemotherapy.

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📌 Senior Medical Data Abstractor (Bengaluru)
🏢 Triomics
📍 Bengaluru