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S

Snigdha Swagatika

Clinical Doctor | Medical AI Trainer | Pharmacology & Clinical Research Specialist

India flagLucknow, India
$120.00/hrIntermediateInternal Proprietary ToolingLabel Studio

Key Skills

Software

Internal/Proprietary Tooling
Label StudioLabel Studio

Top Subject Matter

Healthcare and Clinical Medicine
Pharmacology and drug safety
Clinical research and Medical data analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Evaluation Rating
Question Answering
Text Generation
Text Summarization
Prompt Response Writing SFT

Freelancer Overview

MD Pharmacology resident with strong expertise in clinical reasoning, pharmacology, and evidence-based medicine. Experienced in analyzing medical information for accuracy, safety, and real-world clinical applicability, with particular focus on adverse drug reactions, drug interactions, and rational prescribing. Skilled in evaluating and refining medical content to ensure clarity, correctness, and alignment with clinical guidelines. Background includes hands-on clinical exposure across multiple specialties and research experience involving data analysis, interpretation, and critical appraisal of scientific literature. Adept at identifying subtle clinical errors, improving response quality, and structuring medical explanations for both expert and general audiences. Particularly interested in contributing to AI training by enhancing the safety, reliability, and clinical reasoning capabilities of medical AI systems.

IntermediateEnglish

Labeling Experience

Clinical research data analysis and interpretation

TextEvaluation Rating
Involved in clinical research including data collection, analysis, and interpretation of patient data. Performed critical appraisal of scientific literature and clinical trials using evidence-based medicine principles. Identified patterns, evaluated outcomes, and translated data into clinically meaningful insights. Applied structured reasoning to assess validity, reliability, and applicability of medical evidence.

Involved in clinical research including data collection, analysis, and interpretation of patient data. Performed critical appraisal of scientific literature and clinical trials using evidence-based medicine principles. Identified patterns, evaluated outcomes, and translated data into clinically meaningful insights. Applied structured reasoning to assess validity, reliability, and applicability of medical evidence.

2023 - Present

Pharmacovigilance and drug safety annotation

TextClassification
Conducted detailed evaluation of drug safety data including adverse drug reactions, drug interactions, and contraindications. Annotated and categorized pharmacological information to identify safety risks and ensure rational prescribing practices. Applied clinical pharmacology knowledge to detect subtle medication-related errors and optimize therapeutic decision-making. Contributed to improving accuracy and safety of medical content through systematic review and validation.

Conducted detailed evaluation of drug safety data including adverse drug reactions, drug interactions, and contraindications. Annotated and categorized pharmacological information to identify safety risks and ensure rational prescribing practices. Applied clinical pharmacology knowledge to detect subtle medication-related errors and optimize therapeutic decision-making. Contributed to improving accuracy and safety of medical content through systematic review and validation.

2023 - Present

Medical content evaluation and clinical data annotation

TextClassification
Evaluated clinical case scenarios and medical responses for accuracy, safety, and guideline adherence. Performed structured annotation and classification of medical content, identifying errors in diagnosis, treatment selection, drug dosing, and contraindications. Applied evidence-based medicine principles to validate clinical reasoning and improve response quality. Focused on detecting adverse drug reactions, drug interactions, and unsafe recommendations. Ensured clarity, consistency, and clinical applicability of medical outputs for both expert and general audiences.

Evaluated clinical case scenarios and medical responses for accuracy, safety, and guideline adherence. Performed structured annotation and classification of medical content, identifying errors in diagnosis, treatment selection, drug dosing, and contraindications. Applied evidence-based medicine principles to validate clinical reasoning and improve response quality. Focused on detecting adverse drug reactions, drug interactions, and unsafe recommendations. Ensured clarity, consistency, and clinical applicability of medical outputs for both expert and general audiences.

2023 - Present

Education

V

VIMSAR, Burla

Bachelor of Medicine, Bachelor of Surgery, Medicine and Surgery

Bachelor of Medicine, Bachelor of Surgery
2013 - 2018
D

Dr RMLIMS, Lucknow

Doctor of Medicine, Pharmacology

Doctor of Medicine
2023

Work History

D

Dr Rmlims

Pharmacology Resident

Lucknow
2023 - Present
T

Tata Steel

Medical Officer

Meramandali
2018 - 2023