1. Proper handling of Advances/ Receipts/Refunds either by way of cash or cheque or credit card, etc.
2. Ensure billing has been done as per the package given to patients, particularly in case of tie-up companies where rates vary from company to company.
3. Ensure that all the manual entries are properly updated.
Explain bills to the patients, day-to-day expenditure and surgery cost.
1. Collect all the settled bills of the previous day and recheck and get it approved.
2. Proper checking of all papers in patient file at the time of discharge, particularly equipment service charge sheet, dr visit sheet and final pathology and medicine charges.
3. Keep the updated list of all charges for IPD patients, e.g. reports, pathology charges, packages, room charges, ambulance charges, etc.
4. Assist and maintain the billing system policies & procedures and prepare for audit as and when required.
2 to 3 Yrs. experience in similar profile & knowledge of HIMS Software and MS office
Research Associate / Assistant / Bioinformatician / Bioinformatics Data Analyst
Qualification
Master’s degree or PhD in Bioinformatics, Computational Biology, Molecular Biology, Biotechnology or related field.
Position: 1 Location: Ahmedabad
We are seeking a motivated Research Associate/Assistant with 2-3 years of experience in genomics and multi-omics data analysis, strong bioinformatics skills, and foundational knowledge of wet-lab experimental techniques. The successful candidate will support integration and analysis of genomics, GWAS, and multi-omics data to identify biomarkers relevant to cardiovascular and metabolic diseases. This role bridges computational biology with experimental validation, contributing to personalized medicine solutions.
• Analyse and interpret multi-omics datasets including genomics, transcriptomics, proteomics, and epigenomics.
• Perform GWAS and polygenic risk score calculations tailored to South Asian populations.
• Develop and maintain bioinformatics pipelines for pharmacogenomics and nutrigenomics data.
• Collaborate with wet-lab teams to design and execute experimental validation of candidate biomarkers.
• Support AI driven clinical decision support development by providing curated and analysed data.
• Generate detailed reports and visualizations to communicate findings to clinical and research teams.
• Stay updated on advances in precision medicine, bioinformatics tools, and cardiometabolic research.
• 2-3 years of hands-on experience in genomics and multi-omics data analysis.
• Hands-on experience with bioinformatics tools and scripting languages (e.g., R, Python).
• Basic experimental lab knowledge, preferably in molecular biology techniques.
• Familiarity with human genetics, GWAS, pharmacogenomics, and multi-omics integration.
• Published or about to publish research papers in reputable journals in relevant fields.
• Motivated with the ability to independently carry out research projects.
• Ability to work independently and collaboratively in a team environment.
• Demonstrated ability to manage and prioritize multiple tasks and projects.
• Strong analytical, problem-solving, and communication skills.
Biological / Clinical Data Manager
Qualification
Master’s degree or PhD in Bioinformatics, Biotechnology, Public Health, Epidemiology, Data Science, or related discipline.
Position: 1 Location: Ahmedabad
We are looking for an experienced Biological/ clinical Data Manager with expertise in managing and curating large scale biological datasets, including public and institutional epidemiological and genomic data. The ideal candidate will have programming skills in R/Python and experience handling public health data to support precision cardiometabolic research and genomic risk stratification initiatives.
• Manage acquisition, organization, and quality control of public genomic, epidemiological, and clinical datasets relevant to cardiovascular and metabolic diseases.
• Curate and harmonize heterogeneous datasets from various sources, including hospital-generated multi-omics data.
• Collaborate with bioinformatics analysts and epidemiologists to integrate data for downstream analysis and AI model development.
• Ensure compliance with data privacy, ethical guidelines, and regulatory standards in data handling.
• Provide data-driven insights to support clinical decision tools and translational research projects.
• Maintain documentation and metadata standards to facilitate reproducibility and data sharing.
• Proven experience managing large-scale biological and epidemiological datasets.
• Knowledge of programming languages R and Python for data manipulation and analysis.
• Knowledge of public health data repositories and regulatory frameworks in India.
• Familiarity with genomic data formats and metadata standards.
• Published or about to publish research papers in reputable journals in relevant fields.
• Motivated with the ability to independently carry out research projects.
• Ability to work independently and collaboratively in a team environment.
• Demonstrated ability to manage and prioritize multiple tasks and projects.
• Excellent organizational, communication, and teamwork skills.
Careers
Why Join Us?
We don't just hire candidates — we build careers. Our campus recruitment program is designed to identify driven individuals who bring energy, curiosity, and a hunger to learn. In return, we offer mentorship, meaningful work, and a culture that champions growth at every level.
Our Campus Recruitment Process
We actively visit leading colleges and universities to connect with the brightest minds. Selected candidates go through a structured onboarding program that sets them up for long-term success within our organization.
