Job Title: Senior Associate – Medical Record Analyst (US Healthcare) Work Mode: On-site Location: Salem, Tamil Nadu. Flexi Time: Within 8:00 AM – 7:00 PM (9 hour workday) 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 The Medical Record Analyst will analyze, organize, and summarize complex medical records for Med-Legal and life insurance projects. This role requires strong attention to detail, proficiency in medical data tools, and strict adherence to HIPAA and GDPR compliance standards. Key Responsibilities Analyze complex medical documentation to extract key diagnoses, treatments, and events for legal and insurance use. Ensure data accuracy and conduct quality control by identifying discrepancies and performing audits. Apply critical thinking to interpret complex case histories and summarize timelines and outcomes. Prepare concise, data-driven reports and communicate complex medical information clearly to stakeholders. Manage multiple projects with accuracy under tight deadlines while maintaining proactive communication. Skills Required Proficiency in data management systems and medical software tools Strong analytical and critical thinking abilities Excellent communication and reporting skills Ability to work under tight deadlines without compromising quality Quick adaptability 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 Minimum of 2 years experience in medical data analysis, preferably in Med-Legal or insurance-based projects Benefits Paid sick leave, casual leave, and compensatory leave Statutory benefits (PF) Paid parental leave based on company norms (maternity & paternity) Educational support for employees’ children Holidays aligned with Indian and US calendars Weekends off (Saturday and Sunday) Health insurance coverage Employee reward program Night shift allowance (applicable for roles involving night shifts; not applicable to this day-shift position ) Certification assistance and career growth opportunities Industry Type: Med-Legal Department: Healthcare & Life Sciences Employment Type: Full-time, Permanent Role Category: Healthcare & Life Sciences – Other Compensation: ₹4,50,000 – ₹6,00,000 per annum (based on experience and qualifications) Team Structure At LezDo, you’ll 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, we’re committed to supporting our employees’ professional growth and well-being. Join a team that values precision, collaboration, and compassion. Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Monday to Friday Night shift Supplemental Pay: Overtime pay Ability to commute/relocate: Salem, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: Medical summarization: 1 year (Required) Work Location: In person

Job Title: Senior Associate – Medical Record Analyst (US Healthcare) Work Mode: On-site Location: Salem, Tamil Nadu. Flexi Time: Within 8:00 AM – 7:00 PM (9 hour workday) 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 The Medical Record Analyst will analyze, organize, and summarize complex medical records for Med-Legal and life insurance projects. This role requires strong attention to detail, proficiency in medical data tools, and strict adherence to HIPAA and GDPR compliance standards. Key Responsibilities Analyze complex medical documentation to extract key diagnoses, treatments, and events for legal and insurance use. Ensure data accuracy and conduct quality control by identifying discrepancies and performing audits. Apply critical thinking to interpret complex case histories and summarize timelines and outcomes. Prepare concise, data-driven reports and communicate complex medical information clearly to stakeholders. Manage multiple projects with accuracy under tight deadlines while maintaining proactive communication. Skills Required Proficiency in data management systems and medical software tools Strong analytical and critical thinking abilities Excellent communication and reporting skills Ability to work under tight deadlines without compromising quality Quick adaptability 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 Minimum of 2 years experience in medical data analysis, preferably in Med-Legal or insurance-based projects Benefits Paid sick leave, casual leave, and compensatory leave Statutory benefits (PF) Paid parental leave based on company norms (maternity & paternity) Educational support for employees’ children Holidays aligned with Indian and US calendars Weekends off (Saturday and Sunday) Health insurance coverage Employee reward program Night shift allowance (applicable for roles involving night shifts; not applicable to this day-shift position ) Certification assistance and career growth opportunities Industry Type: Med-Legal Department: Healthcare & Life Sciences Employment Type: Full-time, Permanent Role Category: Healthcare & Life Sciences – Other Compensation: ₹2,40,000 – ₹4,50,000 per annum (based on experience and qualifications) Team Structure At LezDo, you’ll 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, we’re committed to supporting our employees’ professional growth and well-being. Join a team that values precision, collaboration, and compassion. Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Monday to Friday Night shift Supplemental Pay: Overtime pay Ability to commute/relocate: Salem, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: Medical summarization: 1 year (Required) Work Location: In person

Job Description Location: Salem (Onsite) Department: Engineering Reports To: Director of AI / Chief Technology Officer Type: Full-time About the Role 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, pre-processing, information extraction, and summarization. Fine-tune transformer-based models (e.g., BERT, Bio BERT, Clinical BERT, 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. Requirements: Minimum Qualifications: Bachelor's or Master’s 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). Preferred Qualifications: Bachelors/Masters Degree or equivalent research/industry experience. Experience with clinical NLP tools (e.g., cTAKES, MedSpaCy, Meta Map). 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. Tools & Technologies You May Use: Languages/Libraries: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, Spacy Cloud & MLOps: AWS/GCP, Docker, Kubernetes, MLflow Healthcare-Specific: FHIR, HL7, DICOM, Bio BERT, Clinical BERT Data Handling: Pandas, SQL, Spark, DVC, Airflow Benefits: Competitive salary with performance-based bonuses Health insurance Annual learning & development budget Opportunities to work on real-world healthcare problems that impact live Job Types: Full-time, Permanent Benefits: Health insurance Life insurance Provident Fund Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person Speak with the employer +91 7845174222

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. Benefits: Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF) and Health Insurance Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Employee Reward Program Role: Healthcare & Life Sciences - Other Industry Type: Legal Department: Healthcare & Life Sciences Employment Type: Full Time, Permanent Role Category: Healthcare & Life Sciences - OtherEducation UG: Any Graduate, B.Pharma in Any Specialization, BAMS in Any Specialization, BHMS in Any Specialization, B.Sc in Bio-Chemistry, Biology, Botany, Nursing, Zoology Key Skills: Medical records,US Healthcare,Medical Summarization,Medical Terminology Job Type: Full-time Pay: ₹30,000.00 - ₹34,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Performance bonus Yearly bonus Ability to commute/relocate: Kanyakumari, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Location: Kanyakumari, Tamil Nadu (Preferred) Work Location: In person

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. Benefits: Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF) and Health Insurance Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Employee Reward Program Role: Healthcare & Life Sciences - Other Industry Type: Legal Department: Healthcare & Life Sciences Employment Type: Full Time, Permanent Role Category: Healthcare & Life Sciences - OtherEducation UG: Any Graduate, B.Pharma in Any Specialization, BAMS in Any Specialization, BHMS in Any Specialization, B.Sc in Bio-Chemistry, Biology, Botany, Nursing, Zoology Key Skills: Medical records,US Healthcare,Medical Summarization,Medical Terminology Job Type: Full-time Pay: ₹30,000.00 - ₹34,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Overtime pay Performance bonus Yearly bonus Ability to commute/relocate: Kanyakumari, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Location: Kanyakumari, Tamil Nadu (Preferred) Work Location: In person

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. Benefits: Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF) and Health Insurance Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Employee Reward Program Role: Healthcare & Life Sciences - Other Industry Type: Legal Department: Healthcare & Life Sciences Employment Type: Full Time, Permanent Role Category: Healthcare & Life Sciences - OtherEducation UG: Any Graduate, B.Pharma in Any Specialization, BAMS in Any Specialization, BHMS in Any Specialization, B.Sc in Bio-Chemistry, Biology, Botany, Nursing, Zoology Key Skills: Medical records,US Healthcare,Medical Summarization,Medical Terminology Job Type: Full-time Pay: ₹30,000.00 - ₹34,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Kanyakumari, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Location: Kanyakumari, Tamil Nadu (Preferred) Work Location: In person