Bengaluru Karnataka Clinical research specialist Jobs – 50 Open Jobs Today

Clinical AI Data Specialist
PinnacleU —HSR Layout, Bengaluru, Karnataka
- ₹20,00,000 - ₹38,00,000 a year
- Full-time
- SQL
- AI
- Communication skills
Quick apply
14d
Clinical Content Specialist (Payment Integrity - Drugs & Biological)
2070Health —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Communication skills
- Health insurance
Quick apply
Regulatory Affairs Specialist
ZEISS Group —Bengaluru, Karnataka
- Full-time
- Microsoft Office
- Master's degree
- Bachelor's degree
Cardiac Specialist I
Clario —Bengaluru, Karnataka
- Full-time
- Anatomy knowledge
- Microsoft Excel
- Laboratory experience
- Health insurance
Senior Clinical Specialist - Ultrasound
Siemens Healthineers —Bengaluru, Karnataka
- Full-time
- Research
- Master's degree
- Project management
5d
Clinical Operations Manager — Clinical Validation & Medical AI Studies
SAIGroup —Bengaluru, Karnataka
- Project management
- AI
- Communication skills
Quick apply
Study Startup Specialist II
PSI CRO —Bengaluru, Karnataka
- Full-time
- English
- Bachelor's degree
- Communication skills
Quick apply
Customer Care Representative
Workplace Options —Bengaluru, Karnataka
- ₹5,50,000 a year
- Overnight shift
- Hybrid work
- Microsoft Excel
- English
- Research
- Health insurance
Quick apply
5d
Pharmacovigilance Services Specialist
Accenture —Bengaluru, Karnataka
- Full-time
- Master's degree
- Bachelor's degree
- Data entry
Manager - Cell & Gene Therapy - Lab Product
Thermo Fisher Scientific —Bengaluru, Karnataka
- Full-time
- Sales
- Master's degree
- Business development
Talent Development Specialist
Clario —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Health insurance
12d
Chinese Medical Reviewer (Simplified Chinese) - Pharmaceutical Communications
Healthminds Consulting —Bengaluru, Karnataka
- Full-time
- English
- Master's degree
- Bachelor's degree
Centralized Study Specialist II
Fortrea —Bengaluru, Karnataka
- Full-time
- Microsoft Office
- Bachelor's degree
- Communication skills
Senior Regulatory Affairs (RA) Specialist
Healthminds Consulting —Bengaluru, Karnataka
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Senior Research Assistant
Teleradiology Solutions (TRS) —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- AI
8d
Data Analyst
MS CLINICAL —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Clinical Quality Manager
Teleradiology Solutions (TRS) —Bengaluru, Karnataka
- Full-time
- PMP
- Analysis skills
- Team management
Site Start Up EUCTR II
Parexel —Bengaluru, Karnataka
- Microsoft Powerpoint
- Microsoft Office
- Databases
10d
Embryologist – Application Specialist
Esco Lifesciences Group —Bengaluru, Karnataka
- Sales
- Bachelor's degree
- Travel
Medical Director - Healthcare
2070Health —Bengaluru, Karnataka
- Medicine
- Bachelor's degree
- AI
Quick apply

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Clinical AI Data Specialist

PinnacleU
HSR Layout, Bengaluru, Karnataka

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Job details

Full-time
₹20,00,000 - ₹38,00,000 a year
14 days ago

Qualifications

Clinical research
Law
SQL
Pandas
JSON
AI
Communication skills
Python

Full job description

Position: Clinical AI Data Specialist

Location: Bangalore

Working Days: Monday to Friday

Experience Required: 3-7+ years

GROWTH PATH

This is an individual contributor role with strong ownership expectations. High performers may be considered for workstream lead or functional lead responsibilities after approximately 12 months (6–9 months for exceptional candidates), based on demonstrated ownership, delivery, technical judgment, mentoring, cross-functional influence, and ability to reduce dependency on the Director of ML.

ABOUT THE ROLE

We are looking for a Clinical AI Data Specialist to bridge clinical data curation and ML development for oncology-focused AI systems. This person will design ML-oriented labeling and abstraction guidelines for real-world evidence, clinical information extraction, patient-trial matching, registry/QI abstraction, and related clinical workflows.

Traditional clinical curation guidelines are often not directly suitable for ML , they may be clinically correct but too ambiguous, inconsistent, non-measurable, or difficult for models to learn. Your role will be to work with clinical experts, clinical data teams, Research Engineers, and ML Evaluation Engineers to create labeling guidelines that are clinically valid, operationally clear, and ML-feasible.

This is not a pure clinical curation role and not a pure ML engineering role. It is a clinical + GenAI + data operations role focused on turning clinical/RWE needs into high-quality datasets and guidelines that ML systems can learn from and be evaluated against.

WHAT YOU WILL DO

Convert clinical/RWE project requirements into clear, structured labeling guidelines for ML and GenAI systems.
Define annotation schemas, field definitions, allowed values, evidence-span requirements, inclusion/exclusion rules, normalization rules, and ambiguity-handling logic.
Manage labeling projects end to end: understand ML requirements, create guidelines, train annotators/reviewers, run pilot batches, review daily output, resolve ambiguity, and deliver curated datasets.
Daily review clinical team work for each project: check annotation consistency, missed fields, evidence selection, edge cases, guideline adherence, and recurring disagreement patterns.
Work with the clinical data team to operationalize annotation projects and improve annotation quality over time.
Partner with Research Engineers to understand what can be reliably extracted from notes, pathology reports, molecular reports, imaging reports, scanned documents, and other clinical sources.
Partner with ML Evaluation Engineers to design gold datasets, hidden test sets, adjudication workflows, and label quality checks.
Use GenAI tools for pre-labeling, guideline drafting, consistency review, error clustering, data inspection, and annotation support where appropriate.
Use basic Python, SQL, Excel/Sheets, and dashboards to inspect datasets, labels, reviewer output, project status, and quality trends.
Maintain guideline versioning, change logs, examples, counterexamples, edge-case libraries, and project-level annotation documentation.
Act as the day-to-day bridge between ML and the clinical data team for new client projects, exploratory projects, and production improvements.

WHAT WE EXPECT

Background in medicine, clinical research, life sciences, pharmacy, oncology data, clinical informatics, RWE, clinical data abstraction, or healthcare data operations.
3–7+ years of relevant experience in clinical data curation, RWE, clinical research, oncology abstraction, registry abstraction, trial screening, clinical data management, or healthcare data operations.
Ability to read and interpret complex clinical documents and translate them into precise annotation rules.
Strong written communication; ability to write guidelines with examples, counterexamples, edge cases, and clear decision logic.
Basic programming/data skills: Python basics, pandas/CSV/JSON handling, SQL querying, and Excel/Google Sheets for review, QA, and project tracking.
GenAI literacy: ability to use LLM tools for drafting, pre-labeling, review, summarization, consistency checks, and data workflows while understanding their limitations.
Basic ML literacy: labels, training data, validation/test sets, precision/recall, overfitting, leakage, model evaluation, and why labels must be measurable and consistent.
Strong operational discipline for managing annotation projects, reviewer feedback loops, and versioned guideline updates.
Ability to work cross-functionally with clinicians, annotators, ML engineers, evaluation engineers, and project stakeholders.

NICE TO HAVE

Oncology experience, especially with treatment lines, biomarkers, staging, response/progression, pathology, radiology, genomics, adverse events, or trial eligibility.
Experience designing annotation workflows or working with labeling teams using tools such as Label Studio, Prodigy, internal annotation tools, REDCap, spreadsheets, or review dashboards.
Experience with RWE datasets, clinical evidence generation, cancer registries, QI abstraction, or EHR-based research.
Comfort with lightweight scripting, SQL dashboards, Streamlit review tools, or similar data
inspection workflows.

Quick apply

Refine Your Search

clinical research specialist jobs in bengaluru karnataka

Clinical AI Data Specialist

Clinical Content Specialist (Payment Integrity - Drugs & Biological)

Regulatory Affairs Specialist

Cardiac Specialist I

Senior Clinical Specialist - Ultrasound

Clinical Operations Manager — Clinical Validation & Medical AI Studies

Study Startup Specialist II

Customer Care Representative

Pharmacovigilance Services Specialist

Manager - Cell & Gene Therapy - Lab Product

Talent Development Specialist

Chinese Medical Reviewer (Simplified Chinese) - Pharmaceutical Communications

Centralized Study Specialist II

Senior Regulatory Affairs (RA) Specialist

Senior Research Assistant

Data Analyst

Clinical Quality Manager

Site Start Up EUCTR II

Embryologist – Application Specialist

Medical Director - Healthcare

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