Company Description NeuroDiscovery AI is a neurology-specialized AI platform that leverages its proprietary multi-modal Large Language Model (NeuroLLM™), which is trained on over 5 million patient records. The platform accelerates clinical trials, delivers real-world data, and generates real-world evidence. NeuroDiscovery AI drives clinical excellence through strategic partnerships with the largest and most influential Neurology Practice Groups in the U.S. Role Description This is a full-time remote role for a Neurology Research Scientist. The Neurology Research Scientist will be responsible for conducting research, analyzing clinical trial data, collaborating with Neurology Practice Groups, and generating real-world evidence. The day-to-day tasks include data collection, data analysis, preparing research reports, and presenting findings. The scientist will also engage in strategic partnerships to promote clinical excellence and improve patient outcomes. Qualifications Proficiency in research methodologies and data analysis Experience with clinical trial data and real-world evidence generation Strong collaboration and communication skills Technical skills in utilizing AI and machine learning models Ph.D. or advanced degree in Neurology, Neuroscience, or related fields Ability to work independently and remotely Experience with strategic partnerships and clinical excellence initiatives Familiarity with working with large datasets and proprietary AI platforms Mandatory - experience in atleast one of the areas - Alzheimer’s Disease, Parkinson’s Disease, Multiple Sclerosis, Migraine, or Epilepsy
☑️ About NeuroDiscovery AI: NeuroDiscovery AI is a rapidly growing health-tech company building secure platforms and data pipelines that process de-identified patient information from global neuro hospitals. Our mission is to empower research, diagnostics, and clinical insights through intelligent, privacy-preserving technology. Security and compliance are at the heart of everything we do. ☑️ Role Overview: As a Cybersecurity Engineer , you will design, implement, and maintain enterprise-grade security controls across our multi-cloud (GCP + Azure) and on-premise environments. You’ll collaborate closely with DevOps, Infrastructure, and Data teams to ensure every layer of our stack adheres to Zero Trust principles and healthcare data compliance standards (HIPAA-equivalent). ☑️ Key Responsibilities: Architect, implement, and manage Zero Trust security frameworks . Conduct vulnerability assessments , penetration testing, and remediation. Manage IAM, secrets, and certificates across cloud platforms. Monitor and secure network-level security (VPCs, firewalls, VPNs, tunnels). Implement endpoint protection, SIEM, DLP , and threat-detection systems. Secure Kubernetes workloads and CI/CD pipelines (image scanning, policy enforcement). Ensure compliance with HIPAA, GDPR, and ISO 27001 standards. Develop and maintain security documentation, policies, and playbooks . ☑️ Requirements: 4–10 years of experience in cybersecurity or cloud security roles. Strong understanding of GCP and Azure security frameworks . Experience with SIEM tools (Splunk, ELK, Chronicle, Wazuh). Hands-on with encryption, PKI, Vault , and TLS/SSL . Familiarity with Kubernetes, network security, and Linux hardening . Knowledge of SOC 2 / HIPAA / GDPR compliance. Certifications such as CISSP, CISM, CEH, GSEC, or CCSP are a plus. ☑️ Why Join Us: Work on cutting-edge healthcare data systems at scale. Collaborate with a high-caliber global team of engineers and scientists. Gain ownership of end-to-end security posture in a multi-cloud setup. Competitive compensation and flexible work environment. 💼 Location: Hybrid / Remote (India – Bangalore, Pune, Chennai) Apply now through our application form 👇 🔗 https://lnkd.in/g7pd3wdS #Hiring #Cybersecurity #CloudSecurity #HealthcareAI #DataSecurity #GCP #Azure #ZeroTrust #InfoSec #AIinHealthcare
☑️ About NeuroDiscovery AI: NeuroDiscovery AI is an AI-native company leveraging its proprietary NeuroLLM™ technology trained on millions of neurology patient records to transform the way clinical research and care are delivered. We partner with leading neurology provider practices across the U.S. to accelerate clinical trial identification, generate real-world evidence, and translate cutting-edge science into better patient outcomes. ☑️ Role Overview: As the Finance Manager , you’ll play a key role in driving financial operations, reporting, and insights. You’ll collaborate closely with our Strategic Finance, Operations, and U.S. leadership teams to ensure financial accuracy, operational efficiency, and data-driven decision-making. ☑️ Key Responsibilities: Manage end-to-end financial operations, including monthly close, reconciliations, and reporting. Prepare and analyze management reports, financial statements, and forecasts. Partner with leadership to monitor budget vs. actuals and key financial metrics. Support modeling, forecasting, and business performance analysis. Coordinate compliance, filings, and audits with external accountants. Manage vendor payments, contracts, and expense controls. Implement and enhance financial processes and tools. Support fundraising, due diligence, and board reporting. ☑️ Requirements: Bachelor’s degree in Finance, Accounting, or related field ( CA or MBA preferred ). 2+ years of experience in finance, accounting, or FP&A. Strong analytical and Excel/Google Sheets skills (Tableau a plus). Excellent communication and collaboration skills across global teams. 💼 Location: Remote (India) Apply now through our application form 👇 🔗 https://lnkd.in/g7pd3wdS #Hiring #FinanceJobs #AIinHealthcare #FPandA #FinanceManager #NeuroDiscoveryAI
☑️ About NeuroDiscovery AI: NeuroDiscovery AI is an AI-native company revolutionizing neurology through its proprietary NeuroLLM™, trained on 5M+ neurology patient records. We accelerate clinical trial enrollment, unlock real-world data access, and generate real-world evidence in days — transforming the way clinical research and care are delivered. We partner with 470+ neurology providers across the U.S. to bring cutting-edge insights to patient care. ☑️ Role Overview: As a Frontend Developer – Medical Imaging, you will build intuitive, high-performance interfaces for advanced imaging workflows. You will work with DICOM viewers, PACS integrations, and cutting-edge AI-powered features that enable clinicians and researchers to visualize, review, and interpret multimodal imaging data with ease. ☑️ Key Responsibilities: • Design and develop responsive UI for medical imaging platforms using React.js / Next.js. • Customize and extend DICOM viewers (e.g., CornerstoneJS, OHIF) for visualization, annotation, and workflow support. • Integrate LLM-powered features such as natural-language search, automated study summarization, and intelligent workflow assistance. • Build imaging tools supporting DICOM and multi-modality workflows. • Integrate frontend apps with backend services and PACS systems via REST APIs. • Collaborate with clinicians, UI/UX, and backend teams to translate requirements into production-ready solutions. • Optimize performance, accessibility, and cross-browser functionality. • Conduct code reviews, write tests, and maintain high-quality engineering standards. • Stay updated on modern frontend and medical imaging technologies. ☑️ Requirements: • Bachelor’s/Master’s in Computer Science, Engineering, or related field. • 3+ years of frontend development experience. • Strong expertise in React.js / Next.js / JavaScript / TypeScript. • Hands-on experience with DICOM, PACS, and medical imaging workflows. • Experience with DICOM viewers (CornerstoneJS, OHIF) or imaging toolkits like vtk.js. • Knowledge of HIPAA/GDPR and healthcare security standards. • Strong problem-solving and communication skills. ☑️ Bonus Skills: • Experience with FHIR/HL7, cloud platforms, Docker. • Background in AI/ML-enabled medical imaging platforms. • Exposure to neuroscience or clinical imaging tools. 💼 Location: Remote (India) Apply now via our application form 👇 🔗 https://lnkd.in/g7pd3wdS hashtag #Hiring hashtag #FrontendDeveloper hashtag #MedicalImaging hashtag #DICOM hashtag #ReactJS hashtag #AIinHealthcare hashtag #NeuroDiscoveryAI
☑️ About NeuroDiscovery AI: We connect health data from millions of patients with neurological conditions including Autism, Alzheimer’s, FTD, Multiple Sclerosis, Parkinson’s Disease, and Migraines. Our mission is to identify new biomarkers that accelerate drug discovery, enable clinical trials, and generate impactful real-world evidence for the pharmaceutical industry. ☑️ Role Overview: As an RWE Analyst, you’ll join an agile data science team delivering impactful clinical insights. You will work on retrospective and prospective studies, design and execute analyses, and collaborate with cross-functional teams to provide evidence that shapes the future of neurological care. ☑️ Responsibilities: Support design of epidemiological and patient outcome studies Perform quantitative and qualitative research, guided by project goals and curiosity Collaborate closely with data engineering on analytical requests Ensure quality assurance and validate research outputs against published studies Synthesize findings into reports and presentations for clients and internal teams Contribute to developing standards and best practices for RWE analytics ☑️ Requirements: Bachelor’s, Master’s, or PhD in Epidemiology, Biostatistics, Data Science, Engineering, or related fields 2+ years of relevant experience in healthcare, biotech, or pharma research Strong problem-solving and analytical skills Proficiency in SQL and R/Python (or other programming languages) Knowledge of healthcare and pharmaceutical industry practices Excellent communication and collaboration skills Strong attention to detail and ability to manage workstreams/projects Apply now through our application form 👇 🔗 https://lnkd.in/g7pd3wdS hashtag #Hiring hashtag #RWE hashtag #HealthcareJobs hashtag #PharmaJobs hashtag #AIinHealthcare
☑️ About NeuroDiscovery AI: We connect health data from millions of patients with neurological conditions including Alzheimer's, FTD, Multiple Sclerosis, Parkinson's Disease, and Migraines to accelerate clinical trials, deliver RWE/RWD studies, and identify new biomarkers for drug discovery. ☑️ Role Overview: As a Data Engineer, you will design, build, and maintain robust data pipelines and infrastructure to support our healthcare data ecosystem. This role involves working with diverse health data sources (EHR, HIMS, PACS, RIS) and ensuring secure, scalable, and reliable data integration to power advanced analytics and AI-driven insights. ☑️ Requirements: Bachelor’s degree in Computer Science, Engineering, or related field 5+ years of experience in health data engineering (mandatory) Expertise in SQL, HL7/DICOM standards, and Talend Experience with cloud platforms (AWS/Azure/GCP) Strong knowledge of Elasticsearch or similar tools Hands-on experience with healthcare data types (Text, Imaging, OMICS) Excellent problem-solving, analytical, and collaboration skills ☑️ Preferred Experience: Knowledge Graphs and Vector Databases (5+ years) Airflow Apply now through our application form below 👇 🔗 https://lnkd.in/g7pd3wdS hashtag #Hiring hashtag #HealthcareJobs hashtag #DataEngineering hashtag #HealthTech hashtag #AIinHealthcare hashtag #EHR hashtag #healthcareAI