Public Health and Clinical Research Domain Expert

Public Health & Clinical Research Domain Expert at Sourcebae

Sourcebae is India’s largest domain-expert network for AI data operations, powering the AI systems of global leaders including Google, Microsoft, Amazon, Meta, Anthropic, and NVIDIA. We connect credentialed professionals — AIIMS/JIPMER doctors, licensed pharmacists, registered nurses, certified lab technicians, and public health specialists — with the world’s most advanced AI companies to make artificial intelligence smarter, safer, and medically reliable.

Our healthcare domain experts are the human intelligence layer that trains, evaluates, and corrects AI models on clinical reasoning, medical diagnosis, drug safety, patient care, and health information accuracy. When an AI chatbot answers a medical question, our experts ensure it doesn’t give dangerous advice. This is not traditional healthcare work — this is where medicine meets the future of technology.

Role Overview

As a Public Health & Clinical Research Domain Expert at Sourcebae, you will apply your training in epidemiology, biostatistics, evidence-based medicine, clinical research methodology, and public health practice to evaluate AI-generated health content for scientific accuracy, evidence quality, and population-health relevance. You will verify AI-cited clinical evidence, assess the quality of AI-generated health recommendations against established guidelines, create evidence-based health datasets, and help build AI systems that provide trustworthy, scientifically-grounded health information. This role is designed for MPH graduates, clinical research associates (CRAs), medical writers, pharmacovigilance professionals, epidemiologists, and AYUSH doctors (BDS/BAMS/BHMS) with research orientation who want to combine their evidence-based training with cutting-edge AI work.

What You Will Do

• Evidence Verification & Citation Audit: Verify AI-cited clinical evidence: check whether referenced clinical trials, meta-analyses, systematic reviews, and guidelines actually exist, are accurately summarized, and are current. Identify fabricated citations and outdated evidence.
• Clinical Guideline Compliance: Evaluate AI health recommendations against established guidelines: WHO, ICMR, NHM, CDC, NICE, and specialty-specific clinical practice guidelines — flagging deviations, omissions, and errors.
• Epidemiological Accuracy Assessment: Review AI-generated content on disease prevalence, risk factors, screening recommendations, vaccination schedules, and public health interventions for epidemiological accuracy and population-level applicability.
• RLHF for Health Information Quality: Compare and rank AI health responses based on evidence quality (RCT vs. expert opinion), guideline adherence, risk-benefit communication, and health literacy appropriateness.
• Public Health Content Dataset Creation: Create structured Q&A datasets covering communicable diseases, NCDs, maternal-child health, nutrition, immunization, environmental health, and occupational health for AI training.
• Pharmacovigilance & Drug Safety Annotation: Annotate adverse event reports, safety signals, and post-market surveillance data to train AI pharmacovigilance systems.
• Research Methodology Evaluation: Assess AI-generated research summaries for methodological accuracy: study design identification, bias recognition, statistical interpretation, and appropriate conclusion drawing.
• Health Misinformation Detection: Identify and flag health misinformation, pseudoscience, and unsubstantiated alternative medicine claims in AI outputs — ensuring AI does not promote harmful health practices.

Who Should Apply — Eligibility & Requirements

Must-Have Qualifications

• MPH / MSc (Public Health / Epidemiology / Biostatistics) / BDS / BAMS / BHMS / B.Pharm with clinical research experience — at least one of these mandatory
• Understanding of clinical research methodology: study designs (RCT, cohort, case-control), levels of evidence, and critical appraisal of medical literature
• Familiarity with evidence-based medicine principles and clinical practice guidelines (WHO, ICMR, CDC, NICE)
• Knowledge of epidemiological concepts: disease burden, risk factors, screening, surveillance, and outbreak investigation
• Ability to read and critically evaluate published medical literature (PubMed, Cochrane, Lancet, BMJ)
• Strong scientific/medical writing skills
• Reliable internet and computer for remote work

Preferred / Good-to-Have

• 2+ years experience as CRA, medical writer, pharmacovigilance specialist, or research coordinator in a CRO/pharma/hospital setting
• PhD or doctoral-level research in public health, epidemiology, or clinical sciences
• Experience with systematic reviews, meta-analyses, or health technology assessment
• Familiarity with GCP/ICH guidelines, CTRI, and regulatory submission documentation
• Knowledge of biostatistics software (SPSS, R, Stata) and data analysis concepts
• Experience with global health programs (NHM, RMNCH+A, PMJAY, WHO initiatives)
• Background in health economics, health policy, or digital health interventions
• Prior medical writing, clinical documentation, or regulatory affairs experience

Key Skills We Are Looking For

• Evidence-based medicine and critical appraisal of medical literature
• Clinical research methodology and study design evaluation
• Epidemiological analysis and public health reasoning
• Medical/scientific writing — structured, referenced, and methodologically sound
• Pharmacovigilance and adverse event assessment
• Health misinformation identification and scientific fact-checking
• Statistical literacy and research data interpretation
• Self-directed academic-quality work with strong attention to evidence quality

Why Join Sourcebae?

• Your evidence-based training ensures AI health systems are grounded in science — not hallucinations
• Work on the most intellectually rigorous AI evaluation tasks: verifying clinical evidence cited by AI models used by billions
• Access global AI programs through Sourcebae’s enterprise relationships with Google, Meta, Anthropic, and NVIDIA
• No coding required. Your research methodology and critical appraisal skills ARE the core competency.
• 100% remote with flexible hours — combine with your clinical research career, PhD work, or medical writing practice
• Build an elite career profile at the intersection of public health research and AI safety
• Your work directly prevents health misinformation from reaching patients through AI systems

How to Apply

Apply on LinkedIn or visit careers.sourcebae.com. Submit resume with your research/public health background, publications (if any), and areas of expertise (epidemiology, pharmacovigilance, clinical trials, medical writing, etc.). Paid evidence evaluation task (45–60 minutes). Full AI training provided. Onboarding within 72 hours.

Key skills/competency

• Public Health
• Clinical Research
• Epidemiology
• Biostatistics
• Evidence-based Medicine
• Medical Writing
• Pharmacovigilance
• AI Safety
• Health Misinformation
• Critical Appraisal