NeuroDiscovery AI, a cutting-edge health technology company, is transforming real-world evidence (RWE) and clinical data analytics using AI-driven research. The company is now hiring Clinical Data Management Analysts and RWE Analysts for remote full-time roles.
If you have expertise in clinical trial data management, real-world data analytics, or epidemiological research, this is your chance to join a team advancing precision medicine for neurological disorders like Autism, Alzheimer’s, Parkinson’s, and Migraine.
Position 1: Clinical Data Management Analyst
📍 Location: Remote
💼 Employment Type: Permanent
🧾 Experience: 2–4 years
🏢 Department: Clinical Data & Analytics
Key Responsibilities
- Design, standardize, and manage clinical databases supporting RWE and interventional studies.
- Interpret study protocols and translate eligibility criteria into structured data logic.
- Develop and maintain data dictionaries, variable mappings, and terminology standards (ICD, MedDRA, ATC, LOINC).
- Execute data cleaning, discrepancy review, and query resolution.
- Perform SQL-based data validation across EDC, EHR, and repository systems.
- Collaborate with data engineers and medical teams for accurate ETL workflows.
- Document data transformation logic and ensure regulatory compliance.
Qualifications and Skills
- Bachelor’s in Life Sciences, Pharmacy (B.Pharm preferred), Biomedical Engineering, or Computer Science.
- 2–4 years of experience in clinical data management or EDC setup.
- Knowledge of CDISC, SDTM, CDASH, and coding systems (ICD-10, MedDRA, SNOMED).
- Proficiency in SQL, and familiarity with Medidata Rave, Oracle Clinical, or REDCap.
- Experience with Python/R or data visualization tools (Power BI, Tableau) is an advantage.
Why Join
Work with a cross-functional team of clinicians, data scientists, and engineers building next-gen AI-powered clinical data systems to accelerate patient-centric research.
Position 2: Real-World Evidence (RWE) Analyst
📍 Location: Remote
💼 Employment Type: Permanent
🧾 Experience: 2+ years
🏢 Department: Research & Development
Key Responsibilities
- Design retrospective and prospective research studies in epidemiology and patient outcomes.
- Conduct data-driven analyses using SQL, R, or Python.
- Manage workstreams and coordinate with engineering teams for analytical execution.
- Perform quality assurance on analytical outputs and literature triangulation.
- Present findings in written reports, dashboards, and presentations.
- Develop analytical standards and contribute to the growth of the RWE function.
Qualifications and Skills
- Degree (UG/PG/MS/PhD) in Epidemiology, Statistics, Data Science, or related disciplines.
- 2+ years’ experience in RWE analytics, health data research, or pharma insights.
- Proficiency in SQL, Python/R, and Microsoft Excel/PowerPoint.
- Strong analytical, communication, and teamwork skills.
Preferred Profile
- Exposure to EHR, claims data, and healthcare analytics.
- Understanding of pharmaceutical research requirements and biostatistical methodologies.
Position 3: Medical Data Abstractor / Clinical Text Annotator
📍 Location: Remote
💼 Type: Permanent
🧾 Experience: Mid-level
🏢 Department: Data Science
Job Summary
The Medical Data Abstractor / Clinical Text Annotator supports the extraction, annotation, and validation of clinical data from Electronic Medical Records (EMRs) to build structured datasets for AI/ML model training and RWE generation in neurology.
Key Responsibilities
- Extract and standardize patient data from EHRs, clinical notes, and radiology reports.
- Annotate medical text using NLP schemas (NER, entity linking, relation extraction).
- Identify and tag key neurological concepts (diagnosis, symptoms, medications, progression).
- Abstract data for clinical trial-matching workflows.
- Collaborate on annotation guidelines, QA checks, and AI model validation.
- Ensure data privacy compliance (HIPAA, GDPR) in handling sensitive information.
Qualifications
- Bachelor’s or higher in Health Informatics, Life Sciences, or Medicine.
- Knowledge of neurological and behavioral disorders (e.g., MS, epilepsy, dementia).
- Familiarity with ICD-10, SNOMED CT, CPT, LOINC.
- Experience using EHR systems (Epic, Cerner, AthenaOne, eClinicalWorks).
- Preferred: Experience with annotation tools (Prodigy, BRAT, Labelbox) and Python/SQL skills.
💡 Benefits of Joining NeuroDiscovery AI
- Work remotely with a global, interdisciplinary team.
- Contribute to AI-driven biomarker discovery for neurological diseases.
- Opportunities for professional growth in clinical data science and RWE analytics.
- Competitive compensation and cutting-edge research exposure.
📝 How to Apply
Application Link for Clinical Data Management Analyst
Application Link for Real-World Evidence (RWE) Analyst
Application Link for Medical Data Abstractor
