Executive - Medical Data Analyst Position Overview: The Medical Data Analyst will be responsible for analysing, sorting, and summarising complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: - Review, analyse, and summarise complex medical records and healthcare documentation. - Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: - Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. - Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: - Use data management software to handle, store, and organise medical records efficiently. - Familiarity with tools designed for medical records handling, such as Cased rive or similar systems. Analytical and Critical Thinking: - Apply critical thinking to interpret complex medical case histories and extract relevant data. - Analyse and summarise medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: - Create detailed and concise reports that summarise medical data for internal teams and external clients. - Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: - Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. - Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: - Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. - Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: - Quickly adapt to new software tools, processes, and changing project scopes. - Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: - Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: - Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). - Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: - Strong proficiency in medical records analysis and healthcare documentation. - Exceptional attention to detail and commitment to accuracy. - Proficiency in data management systems and software tools. - Strong analytical and critical thinking skills. - Excellent communication and reporting skills. - Ability to work under tight deadlines without compromising quality. - Experience in quality assurance, auditing, and implementing corrective measures. - Ability to quickly adapt to new tools, processes, and workflows. - Experience in Med-Legal or life insurance projects. - In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Education and Experience: A degree in healthcare, medical informatics, or a related field. Previous experience in medical data analysis, particularly in Med-Legal or insurance-based projects for at least 3 years. Role & responsibilities Preferred candidate profile

Position Overview: The Medical Record Analyst will be responsible for analyzing, sorting, and summarizing complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: - Review, analyze, and summarize complex medical records and healthcare documentation. - Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: - Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. - Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: - Use data management software to handle, store, and organize medical records efficiently. - Familiarity with tools designed for medical records handling, such as Casedrive or similar systems. Analytical and Critical Thinking: - Apply critical thinking to interpret complex medical case histories and extract relevant data. - Analyze and summarize medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: - Create detailed and concise reports that summarize medical data for internal teams and external clients. - Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: - Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. - Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: - Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. - Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: - Quickly adapt to new software tools, processes, and changing project scopes. - Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: - Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: - Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). - Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: - Strong proficiency in medical records analysis and healthcare documentation. - Exceptional attention to detail and commitment to accuracy. - Proficiency in data management systems and software tools. - Strong analytical and critical thinking skills. - Excellent communication and reporting skills. - Ability to work under tight deadlines without compromising quality. - Experience in quality assurance, auditing, and implementing corrective measures. - Ability to quickly adapt to new tools, processes, and workflows. - Experience in Med-Legal or life insurance projects. - In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Benefits we do offer for the candidates: Paid Sick leave, Casual leave and compensatory leave Statutory Benefits (PF) Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on Indian & US Week offs on Saturdays and Sundays Health Insurance

Position Overview: The Medical Record Analyst will be responsible for analyzing, sorting, and summarizing complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: - Review, analyze, and summarize complex medical records and healthcare documentation. - Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: - Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. - Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: - Use data management software to handle, store, and organise medical records efficiently. - Familiarity with tools designed for medical records handling, such as CaseDrive or similar systems. Analytical and Critical Thinking: - Apply critical thinking to interpret complex medical case histories and extract relevant data. - Analyze and summarize medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: - Create detailed and concise reports that summarize medical data for internal teams and external clients. - Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: - Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. - Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: - Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. - Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: - Quickly adapt to new software tools, processes, and changing project scopes. - Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: - Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: - Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). - Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: - Strong proficiency in medical records analysis and healthcare documentation. - Exceptional attention to detail and commitment to accuracy. - Proficiency in data management systems and software tools. - Strong analytical and critical thinking skills. - Excellent communication and reporting skills. - Ability to work under tight deadlines without compromising quality. - Experience in quality assurance, auditing, and implementing corrective measures. - Ability to quickly adapt to new tools, processes, and workflows. - Experience in Med-Legal or life insurance projects. - In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Education and Experience: A degree in healthcare, medical informatics, or a related field. Previous experience in medical data analysis, particularly in Med-Legal or insurance-based projects for at least 2 years. Benefits we do offer for the candidates: Paid Sick leave, Casual leave and compensatory leave Statutory Benefits (PF) Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on Indian & US Week offs on Saturdays and Sundays Health Insurance Employee Reward Program Night shift Allowance

Position Overview: We are looking for a dynamic and driven IT Recruiter to join our growing HR team. The ideal candidate will have experience working in a fast-paced, product-based technology environment, with a keen ability to identify, engage, and onboard top-tier leadership and senior tech talent. Key Responsibilities: Own the end-to-end recruitment process for executive-level and leadership roles (Tech Leads, Engineering Managers, Product Managers, etc.). Build a strong pipeline of high-quality talent through headhunting, networking, and active sourcing. Execute sourcing strategies to attract passive candidates with niche skill sets. Conduct preliminary screening, evaluate technical and cultural fit, and manage candidate experience throughout the process. Partner with HR and business stakeholders to drive offer negotiations, compensation discussions, and closures. Maintain accurate documentation on hiring activity and present weekly dashboards. Ensure an exceptional candidate experience at every stage of the recruitment journey. Contribute to employer branding initiatives, recruitment events, and leadership hiring campaigns. Key Requirements: 23 years of experience in IT recruitment, preferably in a product-based company or a startup environment. Proven track record of successfully hiring for mid to senior/executive-level roles in technology and product domains. Strong knowledge of the tech talent landscape, job market trends, and recruitment tools/platforms. Excellent sourcing skills with hands-on experience using LinkedIn Recruiter, Boolean search, and talent mapping. Strong stakeholder management, communication, and negotiation skills. High degree of professionalism, confidentiality, and ability to work independently in a fast-paced environment. Preferred Qualifications: Bachelor's degree in HR, Business, or any related field. Exposure to ATS systems. Familiarity with tech stacks, engineering workflows, and organizational structures in tech teams.

Position Overview: LezDo TechMed is seeking a highly skilled and motivated Medical Record Analyst -Team Leader to join our Health care medical-legal service company. The Team Leader will be responsible for leading a team of Medical Record Reviewers, ensuring the accuracy and compliance of medical records, and facilitating the smooth operation of the department. The ideal candidate should have strong leadership qualities, in-depth knowledge of medical record review processes, and a commitment to maintaining the highest standards of patient confidentiality and regulatory compliance. Key Responsibilities: Leadership and Team Development: Lead, Coach, and Mentor a Team: Provide guidance and support to a team of medical record reviewers, nurturing their professional growth and development. Positive Work Environment: Create a positive and inclusive work atmosphere by fostering recognition, empowerment, attentive listening, embracing diversity, and setting an exemplary standard for others. Workload and Process Management: Assign tasks to team members based on workload and prioritize tasks to meet defined timelines. Anticipate workload fluctuations and allocate resources effectively to achieve departmental objectives. Manage the review of complex medical records, ensuring precision and compliance with industry standards and regulations. Quality Assurance: Implement Quality Assurance Protocols: Develop and implement quality assurance protocols to uphold high standards of accuracy and completeness in record reviews. Privacy and Security: Ensure team members adhere to privacy and security standards, including HIPAA compliance, when handling medical records. Process Improvement: Collaborate with project stakeholders to establish and refine processes, aiming for efficiency and effectiveness. Develop and maintain standard operating procedures (SOPs) to guide the teams activities. Communication and Collaboration: Foster effective communication within the team and with other projects stakeholders. Collaborate with project managers, clients, and other departments to ensure project goals are met. Requirements: Minimum of 5 years of experience in a leading role and preferably in Medical summarization. Proven ability to lead and inspire teams to achieve success. Strong organizational, communication, and interpersonal skills. Demonstrated ability to manage multiple projects and priorities. Benefits: We do offer for the candidates: Paid Sick leave, Casual leave and compensatory leave Statutory Benefits (PF) Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on Indian & US Week offs on Saturdays and Sundays Health Insurance

Senior Associate - Medical Record Analyst Position Overview: The Medical Data Analyst will be responsible for analysing, sorting, and summarising complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: - Review, analyse, and summarise complex medical records and healthcare documentation. - Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: - Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. - Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: - Use data management software to handle, store, and organise medical records efficiently. - Familiarity with tools designed for medical records handling, such as Cased rive or similar systems. Analytical and Critical Thinking: - Apply critical thinking to interpret complex medical case histories and extract relevant data. - Analyse and summarise medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: - Create detailed and concise reports that summarise medical data for internal teams and external clients. - Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: - Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. - Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: - Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. - Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: - Quickly adapt to new software tools, processes, and changing project scopes. - Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: - Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: - Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). - Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: - Strong proficiency in medical records analysis and healthcare documentation. - Exceptional attention to detail and commitment to accuracy. - Proficiency in data management systems and software tools. - Strong analytical and critical thinking skills. - Excellent communication and reporting skills. - Ability to work under tight deadlines without compromising quality. - Experience in quality assurance, auditing, and implementing corrective measures. - Ability to quickly adapt to new tools, processes, and workflows. - Experience in Med-Legal or life insurance projects. - In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Education and Experience: A degree in healthcare, medical informatics, or a related field. Previous experience in medical data analysis, particularly in Med-Legal or insurance-based projects for at least 2 years. Role & responsibilities Preferred candidate profile

Executive - Medical Data Analyst Position Overview: The Medical Data Analyst will be responsible for analysing, sorting, and summarising complex medical records. The ideal candidate will bring strong expertise in medical records analysis, with a keen eye for detail and proficiency in medical data management tools. This role involves working on Med-Legal and life insurance projects, requiring accuracy and compliance with regulations like HIPAA and GDPR. Key Responsibilities: Medical Records Analysis: - Review, analyse, and summarise complex medical records and healthcare documentation. - Identify key medical events, diagnoses, and treatments relevant to legal or insurance purposes. Data Accuracy and Quality Control: - Ensure the accuracy and completeness of medical data by identifying inconsistencies, discrepancies, or missing information. - Perform quality checks and audits to ensure high standards are met across all data handling processes. Data Management and Software Proficiency: - Use data management software to handle, store, and organise medical records efficiently. - Familiarity with tools designed for medical records handling, such as Cased rive or similar systems. Analytical and Critical Thinking: - Apply critical thinking to interpret complex medical case histories and extract relevant data. - Analyse and summarise medical cases with attention to key details, timelines, and case relevance. Reporting and Communication: - Create detailed and concise reports that summarise medical data for internal teams and external clients. - Communicate complex medical information in a clear and understandable format. Time Management and Deadline Adherence: - Manage multiple projects simultaneously, meeting tight deadlines while ensuring high levels of accuracy. - Maintain consistent communication regarding project status and delivery timelines. Experience in Quality Assurance: - Conduct regular quality checks and audits to ensure that data accuracy and regulatory compliance are maintained. - Implement corrective measures to address any identified issues in the data. Adaptability and Learning Agility: - Quickly adapt to new software tools, processes, and changing project scopes. - Engage in continuous learning to stay up to date with the latest medical, legal, and technological developments. Med-Legal and Life Insurance Experience: - Apply experience from Med-Legal or life insurance projects, where the role of medical data is crucial for legal claims, settlements, or insurance adjudication. Regulatory Compliance Knowledge: - Ensure all work complies with relevant healthcare privacy regulations (HIPAA and GDPR). - Maintain strict confidentiality and security measures for handling sensitive medical data. Skills Required: - Strong proficiency in medical records analysis and healthcare documentation. - Exceptional attention to detail and commitment to accuracy. - Proficiency in data management systems and software tools. - Strong analytical and critical thinking skills. - Excellent communication and reporting skills. - Ability to work under tight deadlines without compromising quality. - Experience in quality assurance, auditing, and implementing corrective measures. - Ability to quickly adapt to new tools, processes, and workflows. - Experience in Med-Legal or life insurance projects. - In-depth knowledge of HIPAA/GDPR compliance and data privacy regulations. Education and Experience: A degree in healthcare, medical informatics, or a related field. Previous experience in medical data analysis, particularly in Med-Legal or insurance-based projects for at least 3 years. Role & responsibilities Preferred candidate profile

Job Title: Senior AI/ML Developer Work Mode: On-site Work Environment & Schedule: Full-time | Day Shift: Monday to Friday (No weekends or on-call duties) The position offers a modern, ergonomic workspace equipped with adjustable seating and proper lighting to support comfort and productivity throughout the day. Screen setups are optimized to ensure a healthy and comfortable working experience. Position Overview We are seeking a highly skilled Senior AI/ML Developer to lead the development of advanced machine learning solutions focused on medical data summarization. You will build systems that convert complex, unstructured healthcare data such as electronic health records (EHRs), clinical notes, and imaging reports into accurate, structured summaries that improve decision-making and streamline patient care. Key Responsibilities Design, train, and deploy NLP and ML models for summarizing medical records, physician notes, lab data, and radiology reports. Develop end-to-end ML pipelines for medical data ingestion, preprocessing, information extraction, and summarization. Fine-tune transformer-based models (e.g., BERT, BioBERT, ClinicalBERT, GPT, LLaMA) for domain-specific NLP tasks. Apply techniques such as named entity recognition (NER), relation extraction, summarization, and prompt engineering. Collaborate with clinical informatics experts, data engineers, and product managers to ensure models are clinically relevant and accurate. Evaluate model performance with healthcare-specific metrics (e.g., ROUGE, BLEU, clinical accuracy). Ensure solutions meet HIPAA and other healthcare data privacy and security standards. Mentor junior team members and review code and ML solutions for performance and compliance. Skills Required Bachelors/Masters Degree or equivalent research/industry experience. Experience with clinical NLP tools (e.g., cTAKES, MedSpaCy, MetaMap). Familiarity with MLOps tools and workflows (MLflow, DVC, Airflow). Publications or contributions to open-source projects in medical AI. Prior work on medical summarization, LLM fine-tuning, or clinical decision support systems. Education and Experience Bachelor's or Masters in Computer Science, Data Science, Biomedical Engineering, or a related field. 3+ years of experience in machine learning, with a focus on NLP or medical AI. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers. Experience with healthcare data formats and standards (e.g., HL7, FHIR, ICD-10, SNOMED CT). Strong foundation in deep learning, transformers, and sequence models. Experience deploying models to production environments (cloud, containers, APIs). Familiarity with privacy and compliance frameworks (HIPAA, GDPR in medical contexts). Benefits Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF),Health Insurance and Employee Reward Program Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Certification assistance and career growth opportunities Opportunities to work on real-world healthcare problems that impact lives At LezDo , youll be part of a supportive and collaborative team environment that values communication, teamwork, and shared accountability in delivering high-quality results. Why Join Us At LezDo, were committed to supporting our employees professional growth and well-being. Join a team that values precision, collaboration, and compassion. Ready to Apply? If you're passionate about healthcare data accuracy and want to make a meaningful impact, we encourage you to apply today. LezDo is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.