Role Overview As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities Execute end-to-end data science projects involving clinical data. Process and analyze complex datasets, including EHR and other real-world data sources. Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.). Conduct exploratory data analysis and statistical hypothesis testing. Communicate findings via well-documented code, reports, and presentations. Collaborate with cross-functional teams, including clinicians, engineers, and product managers. Stay up-to-date with advances in machine learning, healthcare AI, and relevant research. Required Qualifications PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply. Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn). Experience working with biological, clinical, or healthcare-related datasets in academia or industry. Solid understanding of statistical concepts and ability to apply them practically. Strong communication skills with an ability to document and explain technical work clearly. Preferred Qualifications (Nice to Have) Hands-on experience working with real-world or EHR data (structured/unstructured). Published or contributed to academic/industry research projects. Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links). Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR. Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar. Experience with Git or other version control systems. Show more Show less
Position: Clinical Scientist - Artificial Intelligence in Healthcare Job Location: Bangalore About Anumana: https://anumana.ai/ Anumana is a new AI-driven health technology company from nference, developing and delivering ECG algorithms enabling early diagnosis and intervention. Qualifications: DM/DNB Cardiology or MD/DNB (Internal Medicine) or MD/DNB (Anesthesia) or MD/DNB/Fellow (Critical care/Intensive Care) or MS/MCH(Surgical fields) or any other masters (MD/DNB/Diploma from clinical fields). MBBS with a bachelor/master/PhD in a technical domain including MMST, MTech (Biomedical engineering or domain related to data science), or fellowship in a domain related to healthcare research Exceptional candidates from other streams of medicine(non-clinical subjects like pharmacology, Community Medicine, etc) will also be considered. Requirements: Strong understanding of the nuances of medicine pertaining to patient care (a broader understanding of Cardiology/ Internal Medicine/ ICU is preferred) Basic interpretation of ECGs Strong interest in research and product development Basic understanding of relational databases (Optional) Basic understanding of Python and SQL (Optional) Basic understanding of biostatistics (Optional) Job Description: Working in close proximity with lead clinicians(both India Based and US-based), software and data science team in developing Artificial Intelligence based models on ECG inputs Leveraging clinical experience to create pathways towards making AI models for clinical application. Designing cohorts for training/validation of various AI models and performing statistically sound analyses with them Benefits: Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets. Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.
Position: Cyber Security Engineer Experience Range: 3 to 5 yrs Job Location: Bangalore Work Mode: Hybrid (3 days in the office, 2 days remote) Job Summary Anumana is seeking a skilled and motivated Cybersecurity Engineer to ensure the security, integrity, and compliance of our Software as a Medical Device (SaaMD) products. This position is critical in maintaining our adherence to global security standards and regulations, specifically ISO/IEC 27001, ISO/IEC 27002, and ISO 13485. You will play a key role in implementing and monitoring security controls throughout the software development lifecycle while ensuring that our systems meet the highest standards of security and quality. Additionally, you will support audits, create threat models, conduct penetration testing, and produce comprehensive reports. Key Responsibilities: Security Control Implementation Design, implement, and monitor security controls within the SaaMD development lifecycle. Ensure security controls align with ISO/IEC 27001, 27002, and ISO 13485 standards. Collaborate with software development teams to integrate security best practices throughout the development pipeline. Provide guidance on secure coding practices, vulnerability management, and secure software development principles. Maintain a risk-based approach to security, identifying potential threats and vulnerabilities early in the development lifecycle. Compliance & Audit Support Provide evidence of implemented controls and participate in internal and external audits for ISO/IEC 27001 and 27002. Collaborate with Quality and Regulatory teams to ensure ongoing compliance with ISO 13485. Develop and maintain documentation, policies, and procedures to demonstrate compliance with relevant standards. Implement and manage a robust change management and documentation process to align with audit requirements. Threat Modeling & Penetration Testing Create, maintain, and refine threat models to identify security vulnerabilities, using tools like LucidChart. Conduct penetration testing and security assessments using tools such as BurpSuite, nmap, Wireshark, and Deptrack. Regularly perform static and dynamic analysis to identify potential vulnerabilities in the software. Vulnerability Management Conduct vulnerability scans and assessments using tools like Grype, Dockle, and Trivy. Work with development teams to triage and prioritize vulnerabilities for remediation. Track and document vulnerabilities through their lifecycle from identification to resolution. Develop and maintain a comprehensive vulnerability management process, including reporting metrics and key performance indicators (KPIs). Reporting & Communication Create detailed security assessment and penetration testing reports, including actionable remediation recommendations. Communicate findings and collaborate with cross-functional teams to ensure vulnerabilities are addressed. Provide regular updates to management on security posture, vulnerability trends, and remediation efforts. Security Awareness & Training Contribute to the development and delivery of security awareness training for software development teams. Advocate for a culture of security within the organization, promoting adherence to security best practices. Preferred: Professional certifications such as CISSP, CEH, OSCP, CISM, or ISO/IEC 27001 Lead Implementer. Experience in security in highly regulated environments, especially SaaMD or healthcare applications. Knowledge of risk management frameworks (NIST, HITRUST) and cybersecurity standards. Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines and DevOps environments. Required Qualification: Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience). 3+ years of experience in cybersecurity engineering, preferably within the medical device or healthcare sector. In-depth knowledge of ISO/IEC 27001, 27002, and ISO 13485 standards and requirements. Experience with threat modeling and penetration testing methodologies and tools (e.g., BurpSuite, nmap, Wireshark, LucidChart). Hands-on experience with vulnerability assessment tools such as Grype, Dockle, Trivy, and Deptrack. Strong understanding of secure software development practices, including secure coding and DevSecOps principles. Experience in providing evidence for security audits and ensuring regulatory compliance. Familiarity with cloud security best practices, container security, and modern development environments (e.g., Docker, Kubernetes). Benefits: Be a part of “Google of biomedicine” as recognized by the Washington Post Work with some of the brilliant minds of the world solving exciting real-world problems. Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.
Position: Senior Data Scientist Experience Range: 3 to 5 yrs Job Location: Bangalore Work Mode: Hybrid (3 days in the office, 2 days remote) About Anumana: https://anumana.ai/ Anumana is a new AI-driven health technology company from nference, developing and delivering ECG algorithms enabling early diagnosis and intervention. Job Summary : We are seeking a highly skilled and motivated Machine Learning Data Scientist with 3 to 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in training machine learning models using PyTorch and TensorFlow, with a focus on making models production-ready and evaluating them with quality metrics. Expertise in training Transformers and convolution-based large models is essential, and experience in signal processing and image processing will be a significant plus. Key Responsibilities : Model Training : Develop and train machine learning models using PyTorch and TensorFlow. Focus on large-scale models, including Transformers and convolution-based architectures. Model Evaluation : Evaluate models using a range of quality metrics to ensure high performance and reliability. Production Readiness : Work on making models production-ready, ensuring they are robust, scalable, and optimized for deployment. Data Handling : Handle and process large datasets efficiently, adapting architectures and loss functions as needed to improve model performance. Signal and Image Processing : Utilize signal processing and image processing techniques to enhance model capabilities (preferred but not mandatory). Innovative Solutions : Help innovate, identify problems, recommend solutions, and perform triage in a collaborative team environment and collaborate with various teams on new product features and improvements of existing products Text/LLM Models : Experience in working with text data and large language models (LLMs) is a plus. Fundamentals : Possess a deep understanding of machine learning and deep learning basics. Software Development : Demonstrate strong software and algorithm development skills. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews. Skills Required: Python, Deep Learning, Problem Solving, Data Structures, Algorithms, Pytorch, Machine Learning, Transformers, CNNs Good to have: Computer Vision, Signal and Image Processing Benefits: Be a part of “Google of biomedicine” as recognized by the Washington Post Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets. Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.
Position: QA Engineer Experience Range: 3 to 5 yrs Location: Bangalore Work Mode: Hybrid About Anumana: Anumana is a pioneering AI-driven health technology company at the forefront of transforming cardiovascular care. Born out of a collaboration between nference and the Mayo Clinic, we are dedicated to unlocking the secrets of the heart's electrical signals to enable earlier detection, more precise diagnoses, and improved treatments for heart disease. Our portfolio of ECG-AI algorithms is redefining how clinicians can leverage routine medical data to identify and manage cardiovascular conditions. As a company operating in a highly regulated and mission-critical domain, we are committed to the highest standards of quality, security, and scientific rigor. About the Role: We are looking for a detail-oriented and passionate QA Engineer to join our team. You will be responsible for ensuring the quality and reliability of our software products through the development and execution of test plans, test cases, and automated testing frameworks. You will work closely with developers, product managers, and other stakeholders to identify issues early and contribute to a high-quality user experience. Key Responsibilities: Design, develop, and execute test plans, test cases, and test scripts (manual and automated). Perform functional, regression, integration, and performance testing. Identify, document, and track bugs and issues using tools like JIRA or similar. Collaborate with cross-functional teams during the entire software development lifecycle. Contribute to continuous improvement in testing processes and tools. Ensure test coverage and traceability from requirements to deployment. Develop and maintain automated test suites using tools like Selenium, Cypress, or similar. Validate fixes and enhancements made to the software. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience as a QA Engineer or similar role. Hands-on experience with Python for test automation and scripting. Hands-on in Python for both functional and API testing. Strong understanding of software QA methodologies, tools, and processes. Experience with test automation tools (e.g., Selenium, TestNG, JUnit, Cypress). Proficient in writing SQL queries to validate data. Familiarity with Agile/Scrum development methodologies. Experience with bug tracking and test management tools (e.g., JIRA, TestRail). Strong verbal and written communication skills.
Position: Cardiovascular FEA Engineer Experience Range: 2 to 5 yrs Job Location: Bangalore Work Mode: Hybrid (3 days in the office, 2 days remote) Position Type: Full-time or 6-month internship-to-hire Join our medical device team to develop advanced finite element analysis simulations for cardiac devices. Opportunity to impact cardiovascular care through computational modeling. Role Description: Serve as primary FEA modeling resource for cardiac device-tissue interactions using 3D heart models: Develop complex tissue-device interaction models with nonlinear materials Execute parametric studies across varied anatomies Support validation against experimental data Contribute to in-house cardiac device simulation capabilities Required Qualifications: MS/PhD in Mechanical/Biomedical Engineering or related field Strong expertise in solid mechanics, particularly nonlinear material behavior, finite deformation and contact Proven analytical skills and problem-solving ability Excellent communication skills Research experience with published results Preferred Qualifications: Experience with cardiovascular mechanics modeling Proficiency with FEA software (ABAQUS, ANSYS, or similar) Knowledge of hyperelastic/viscoelastic material models Contact mechanics' experience in biological systems Why Join Us: Work on cutting-edge medical technology Build technical capabilities with significant autonomy Clear growth path as the team expands Competitive compensation Show more Show less
Role Overview As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities Execute end-to-end data science projects involving clinical data. Process and analyze complex datasets, including EHR and other real-world data sources. Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.). Conduct exploratory data analysis and statistical hypothesis testing. Communicate findings via well-documented code, reports, and presentations. Collaborate with cross-functional teams, including clinicians, engineers, and product managers. Stay up-to-date with advances in machine learning, healthcare AI, and relevant research. Required Qualifications PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply. Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn). Experience working with biological, clinical, or healthcare-related datasets in academia or industry. Solid understanding of statistical concepts and ability to apply them practically. Strong communication skills with an ability to document and explain technical work clearly. Preferred Qualifications (Nice to Have) Hands-on experience working with real-world or EHR data (structured/unstructured). Published or contributed to academic/industry research projects. Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links). Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR. Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar. Experience with Git or other version control systems.
Job Title: IT Manager Location: Bangalore, India Industry: Healthcare Software / HealthTech Employment Type: Full-time Role Overview: The IT Manager will oversee and optimize the organization's IT infrastructure, ensuring all systems are secure, scalable, and compliant with healthcare industry regulations—especially ISO 27001, SOC2, HIPAA, HITRUST . This role emphasizes leadership, strategic planning, and measurable performance with robust expertise in identity management, endpoint security, cloud security, and IT service management. Key Responsibilities: IT Infrastructure Management: Oversee all networking, cloud, hardware assets, and core IT products for reliable, secure operations—specifically managing platforms like Okta, Jumpcloud, CrowdStrike, Netskope/Zscaler, and ITSM tools such as ManageEngine. Healthcare Compliance: Implement and maintain ISO 27001, SOC2, HIPAA, HITRUST standards for data security, privacy, and audit readiness. Software & Application Support: Collaborate with development/product teams for deployment and support of healthcare applications, maintaining seamless integration with identity/access management and security platforms. Cybersecurity: Manage risk assessment, access controls, encryption, security monitoring, incident response, and endpoint protection leveraging solutions like CrowdStrike and network/cloud security via Netskope or Zscaler. Identity & Access Management: Administer and optimize Okta and Jumpcloud environments to enforce strong authentication, provisioning, deprovisioning, and user lifecycle management. IT Service Management: Utilize tools such as ManageEngine to streamline IT support processes, asset management, and ticket resolution. Team Leadership: Supervise and mentor IT support and system admins, drive professional development and accountability. Vendor Management: Evaluate, select, and manage key hardware/software vendors and service partners. IT Strategy & Budget: Develop IT roadmaps and budgets, implementing cost-effective technology initiatives. Business Continuity: Maintain robust backup and disaster recovery for uninterrupted system availability. Stakeholder Relations: Communicate with executive leadership to align IT strategy with business goals. Required Qualifications & Skills Bachelor’s/Master’s in Computer Science, IT, or related field. 7+ years of IT experience, 3+ in IT management in healthcare or regulated sectors. Cloud platforms (AWS/Azure/GCP), networking, database systems, and enterprise cybersecurity. Compliance management with ISO 27001, SOC2, HIPAA, HITRUST . Strong analytical, project management, and stakeholder management skills. Proven hands-on expertise with: Identity & Access Management: Okta, Jumpcloud Endpoint Security: CrowdStrike Cloud/Network Security: Netskope, Zscaler IT Service Management: ManageEngine
Job Title: IT Manager Location: Bangalore, India Industry: Healthcare Software / HealthTech Employment Type: Full-time Role Overview: The IT Manager will oversee and optimize the organization&aposs IT infrastructure, ensuring all systems are secure, scalable, and compliant with healthcare industry regulationsespecially ISO 27001, SOC2, HIPAA, HITRUST . This role emphasizes leadership, strategic planning, and measurable performance with robust expertise in identity management, endpoint security, cloud security, and IT service management. Key Responsibilities: IT Infrastructure Management: Oversee all networking, cloud, hardware assets, and core IT products for reliable, secure operationsspecifically managing platforms like Okta, Jumpcloud, CrowdStrike, Netskope/Zscaler, and ITSM tools such as ManageEngine. Healthcare Compliance: Implement and maintain ISO 27001, SOC2, HIPAA, HITRUST standards for data security, privacy, and audit readiness. Software & Application Support: Collaborate with development/product teams for deployment and support of healthcare applications, maintaining seamless integration with identity/access management and security platforms. Cybersecurity: Manage risk assessment, access controls, encryption, security monitoring, incident response, and endpoint protection leveraging solutions like CrowdStrike and network/cloud security via Netskope or Zscaler. Identity & Access Management: Administer and optimize Okta and Jumpcloud environments to enforce strong authentication, provisioning, deprovisioning, and user lifecycle management. IT Service Management: Utilize tools such as ManageEngine to streamline IT support processes, asset management, and ticket resolution. Team Leadership: Supervise and mentor IT support and system admins, drive professional development and accountability. Vendor Management: Evaluate, select, and manage key hardware/software vendors and service partners. IT Strategy & Budget: Develop IT roadmaps and budgets, implementing cost-effective technology initiatives. Business Continuity: Maintain robust backup and disaster recovery for uninterrupted system availability. Stakeholder Relations: Communicate with executive leadership to align IT strategy with business goals. Required Qualifications & Skills Bachelors/Masters in Computer Science, IT, or related field. 7+ years of IT experience, 3+ in IT management in healthcare or regulated sectors. Cloud platforms (AWS/Azure/GCP), networking, database systems, and enterprise cybersecurity. Compliance management with ISO 27001, SOC2, HIPAA, HITRUST . Strong analytical, project management, and stakeholder management skills. Proven hands-on expertise with: Identity & Access Management: Okta, Jumpcloud Endpoint Security: CrowdStrike Cloud/Network Security: Netskope, Zscaler IT Service Management: ManageEngine Show more Show less
Position: Cyber Security Engineer Experience Range: 3 to 5 yrs Job Location: Bangalore Work Mode: Hybrid (3 days in the office, 2 days remote) Job Summary Anumana is seeking a skilled and motivated Cybersecurity Engineer to ensure the security, integrity, and compliance of our Software as a Medical Device (SaaMD) products. This position is critical in maintaining our adherence to global security standards and regulations, specifically ISO/IEC 27001, ISO/IEC 27002, and ISO 13485. You will play a key role in implementing and monitoring security controls throughout the software development lifecycle while ensuring that our systems meet the highest standards of security and quality. Additionally, you will support audits, create threat models, conduct penetration testing, and produce comprehensive reports. Key Responsibilities: Security Control Implementation Design, implement, and monitor security controls within the SaaMD development lifecycle. Ensure security controls align with ISO/IEC 27001, 27002, and ISO 13485 standards. Collaborate with software development teams to integrate security best practices throughout the development pipeline. Provide guidance on secure coding practices, vulnerability management, and secure software development principles. Maintain a risk-based approach to security, identifying potential threats and vulnerabilities early in the development lifecycle. Compliance & Audit Support Provide evidence of implemented controls and participate in internal and external audits for ISO/IEC 27001 and 27002. Collaborate with Quality and Regulatory teams to ensure ongoing compliance with ISO 13485. Develop and maintain documentation, policies, and procedures to demonstrate compliance with relevant standards. Implement and manage a robust change management and documentation process to align with audit requirements. Threat Modeling & Penetration Testing Create, maintain, and refine threat models to identify security vulnerabilities, using tools like LucidChart. Conduct penetration testing and security assessments using tools such as BurpSuite, nmap, Wireshark, and Deptrack. Regularly perform static and dynamic analysis to identify potential vulnerabilities in the software. Vulnerability Management Conduct vulnerability scans and assessments using tools like Grype, Dockle, and Trivy. Work with development teams to triage and prioritize vulnerabilities for remediation. Track and document vulnerabilities through their lifecycle from identification to resolution. Develop and maintain a comprehensive vulnerability management process, including reporting metrics and key performance indicators (KPIs). Reporting & Communication Create detailed security assessment and penetration testing reports, including actionable remediation recommendations. Communicate findings and collaborate with cross-functional teams to ensure vulnerabilities are addressed. Provide regular updates to management on security posture, vulnerability trends, and remediation efforts. Security Awareness & Training Contribute to the development and delivery of security awareness training for software development teams. Advocate for a culture of security within the organization, promoting adherence to security best practices. Preferred: Professional certifications such as CISSP, CEH, OSCP, CISM, or ISO/IEC 27001 Lead Implementer. Experience in security in highly regulated environments, especially SaaMD or healthcare applications. Knowledge of risk management frameworks (NIST, HITRUST) and cybersecurity standards. Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines and DevOps environments. Required Qualification: Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience). 3+ years of experience in cybersecurity engineering, preferably within the medical device or healthcare sector. In-depth knowledge of ISO/IEC 27001, 27002, and ISO 13485 standards and requirements. Experience with threat modeling and penetration testing methodologies and tools (e.g., BurpSuite, nmap, Wireshark, LucidChart). Hands-on experience with vulnerability assessment tools such as Grype, Dockle, Trivy, and Deptrack. Strong understanding of secure software development practices, including secure coding and DevSecOps principles. Experience in providing evidence for security audits and ensuring regulatory compliance. Familiarity with cloud security best practices, container security, and modern development environments (e.g., Docker, Kubernetes). Benefits: Be a part of “Google of biomedicine” as recognized by the Washington Post Work with some of the brilliant minds of the world solving exciting real-world problems. Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.
Position: Statistician Experience Range: 2 to 4 yrs Job Location: Bangalore Work Mode: Hybrid (3 days in the office, 2 days remote) About Anumana: https://anumana.ai/ Anumana is a new AI-driven health technology company from nference, developing and delivering ECG algorithms enabling early diagnosis and intervention. About the Role We are looking for a detail-oriented Statistician to analyze data, identify trends, and support decision-making across departments. The ideal candidate has strong statistical modeling skills and experience in applying these techniques in real-world scenarios. Minimum Qualifications: Bachelors/Masters/PhD in Maths, statistics, or related technical field. Experience in effectively applying statistical methods on top of big data inferences to yield more relevant information. Fluency in R/Python for statistical work. Development familiarity such as making REST APIs, and scripting in Python would be preferable. Preferred Qualifications: Proven relevant work experience. Proven strong record of applying statistics in different scenarios. Demonstrated ability to design and execute on R&D agenda. Responsibilities: Join our data science and engineering team to undertake cutting-edge R&D projects in the above-mentioned areas. Interact with team members, including domain experts, to build and engineer optimal solutions for customer problems and platform features. Adapt and innovate on latest data science, statistics, and computer science techniques to develop solutions for real-world, large-scale problems in healthcare. Show more Show less
As a Junior Imaging Analyst at Anumana, a new AI-driven health technology company, you will be instrumental in ensuring the accuracy and reliability of data sets for the Data Science team. Your responsibilities will include analyzing various medical images such as CT scans, Transesophageal echocardiograms, Ultrasound, MRIs, and X-rays. Your keen eye for detail will be essential in identifying and annotating specific regions or structures of interest within the images. You will be required to use specialized annotation software or tools for precise manual annotations, marking and labeling relevant areas within the medical images. Collaboration with Radiologists, Cardiologists, clinicians, or researchers is crucial to comprehend the annotation requirements and enhance accuracy. Effective communication will be key in addressing queries and concerns related to the annotation process. Upholding established standards and guidelines is imperative to ensure the quality and consistency of manual annotations. Conducting regular quality checks to identify and rectify errors or inconsistencies will be part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in Medical Imaging, Echo Technician, or a related field, with a minimum of 2 years of experience in medical imaging or echocardiogram technology. Familiarity with different medical imaging modalities, experience in manual image data labeling, and the ability to manage time effectively are essential requirements. Your attention to detail will ensure accuracy in annotations.,
As an AI-driven health technology company, Anumana is dedicated to developing cutting-edge artificial intelligence models for ECG-based diagnostics to enable early detection and intervention for heart-related diseases. By harnessing the power of AI, we aim to empower healthcare providers to enhance patient care at every stage of the cardiac journey. **Responsibilities:** - Participate in cross-functional teams supporting software design and development lifecycle. - Author, execute, perform, summarise, and report out verification & validation test activities of components of a Software as a Medical Device (SaMD). - Ensure development projects meet defined development process requirements of FDA 21 CFR 820.30, EN/ISO 13485:2016, and IEC 62366-1. - Ensure software development is compliant with IEC 63204:2015 standard. - Facilitate the development of risk management activities for projects in compliance with ISO 14971:2019. - Share expertise with and support the developmental design change process for each project's specifications. - Actively participate in non-product software tool evaluation and validation process. - Ensure the quality of all design and development documents and records to support regulatory submissions. - Support project-based activities through leading or supporting cross-functional initiatives. - Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps. **Education and Qualification:** - Bachelors Degree or equivalent in an Engineering or other scientific discipline or a combination of education and relevant work experience. - 4+ years of experience in SaMD or SiMD medical device development, verification and validation, or relevant quality experience. - Experience in design verification and validation of medical devices; understanding of and adherence to FDA, ISO, and IEC design control procedures, regulations, and standards. **Skills:** - Outstanding communication (oral and written) and interpersonal skills within all levels of the organization. - Ability to manage projects efficiently and effectively. - Openness to collaborate in the interest of the project/organization. - Proactive and self-driven, possesses a due sense of urgency. - Shall possess systems mindset and good problem-solving abilities. In addition to these responsibilities and qualifications, you will have the opportunity to work with some of the brilliant minds of the world, solving exciting real-world problems. Our benefits package includes stock options, paid time off, healthcare insurance, and gym/broadband reimbursement.,
Job Title: IT Manager Location: Bangalore, India Industry: Healthcare Software / HealthTech Employment Type: Full-time Role Overview: The IT Manager will oversee and optimize the organization's IT infrastructure, ensuring all systems are secure, scalable, and compliant with healthcare industry regulations—especially ISO 27001, SOC2, HIPAA, HITRUST . This role emphasizes leadership, strategic planning, and measurable performance with robust expertise in identity management, endpoint security, cloud security, and IT service management. Key Responsibilities: IT Infrastructure Management: Oversee all networking, cloud, hardware assets, and core IT products for reliable, secure operations—specifically managing platforms like Okta, Jumpcloud, CrowdStrike, Netskope/Zscaler, and ITSM tools such as ManageEngine. Healthcare Compliance: Implement and maintain ISO 27001, SOC2, HIPAA, HITRUST standards for data security, privacy, and audit readiness. Software & Application Support: Collaborate with development/product teams for deployment and support of healthcare applications, maintaining seamless integration with identity/access management and security platforms. Cybersecurity: Manage risk assessment, access controls, encryption, security monitoring, incident response, and endpoint protection leveraging solutions like CrowdStrike and network/cloud security via Netskope or Zscaler. Identity & Access Management: Administer and optimize Okta and Jumpcloud environments to enforce strong authentication, provisioning, deprovisioning, and user lifecycle management. IT Service Management: Utilize tools such as ManageEngine to streamline IT support processes, asset management, and ticket resolution. Team Leadership: Supervise and mentor IT support and system admins, drive professional development and accountability. Vendor Management: Evaluate, select, and manage key hardware/software vendors and service partners. IT Strategy & Budget: Develop IT roadmaps and budgets, implementing cost-effective technology initiatives. Business Continuity: Maintain robust backup and disaster recovery for uninterrupted system availability. Stakeholder Relations: Communicate with executive leadership to align IT strategy with business goals. Required Qualifications & Skills Bachelor’s/Master’s in Computer Science, IT, or related field. 7+ years of IT experience, 3+ in IT management in healthcare or regulated sectors. Cloud platforms (AWS/Azure/GCP), networking, database systems, and enterprise cybersecurity. Compliance management with ISO 27001, SOC2, HIPAA, HITRUST . Strong analytical, project management, and stakeholder management skills. Proven hands-on expertise with: Identity & Access Management: Okta, Jumpcloud Endpoint Security: CrowdStrike Cloud/Network Security: Netskope, Zscaler IT Service Management: ManageEngine
As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities Execute end-to-end data science projects involving clinical data. Process and analyze complex datasets, including EHR and other real-world data sources. Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.). Conduct exploratory data analysis and statistical hypothesis testing. Communicate findings via well-documented code, reports, and presentations. Collaborate with cross-functional teams, including clinicians, engineers, and product managers. Stay up-to-date with advances in machine learning, healthcare AI, and relevant research. Required Qualifications PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply. Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn). Experience working with biological, clinical, or healthcare-related datasets in academia or industry. Solid understanding of statistical concepts and ability to apply them practically. Strong communication skills with an ability to document and explain technical work clearly. Preferred Qualifications (Nice to Have) Hands-on experience working with real-world or EHR data (structured/unstructured). Published or contributed to academic/industry research projects. Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links). Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR. Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar. Experience with Git or other version control systems.
Position: QA Engineer Experience Range: 3 to 5 yrs Location: Bangalore Work Mode: Hybrid About Anumana: Anumana is a pioneering AI-driven health technology company at the forefront of transforming cardiovascular care. Born out of a collaboration between nference and the Mayo Clinic, we are dedicated to unlocking the secrets of the heart's electrical signals to enable earlier detection, more precise diagnoses, and improved treatments for heart disease. Our portfolio of ECG-AI algorithms is redefining how clinicians can leverage routine medical data to identify and manage cardiovascular conditions. As a company operating in a highly regulated and mission-critical domain, we are committed to the highest standards of quality, security, and scientific rigor. About the Role: We are looking for a detail-oriented and passionate QA Engineer to join our team. You will be responsible for ensuring the quality and reliability of our software products through the development and execution of test plans, test cases, and automated testing frameworks. You will work closely with developers, product managers, and other stakeholders to identify issues early and contribute to a high-quality user experience. Key Responsibilities: Design, develop, and execute test plans, test cases, and test scripts (manual and automated). Perform functional, regression, integration, and performance testing. Identify, document, and track bugs and issues using tools like JIRA or similar. Collaborate with cross-functional teams during the entire software development lifecycle. Contribute to continuous improvement in testing processes and tools. Ensure test coverage and traceability from requirements to deployment. Develop and maintain automated test suites using tools like Selenium, Cypress, or similar. Validate fixes and enhancements made to the software. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience as a QA Engineer or similar role. Hands-on experience with Python for test automation and scripting. Hands-on in Python for both functional and API testing. Strong understanding of software QA methodologies, tools, and processes. Experience with test automation tools (e.g., Selenium, TestNG, JUnit, Cypress). Proficient in writing SQL queries to validate data. Familiarity with Agile/Scrum development methodologies. Experience with bug tracking and test management tools (e.g., JIRA, TestRail). Strong verbal and written communication skills.