We are looking for a skilled Front-end (react.js) developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase. To ensure success as a react.js developer, you should have in-depth knowledge of JavaScript and React concepts, excellent front-end coding skills, and a good understanding of progressive web applications. Ultimately, a top-class react.js developer should be able to design and build modern user interface components to enhance application performance. Responsibilities Meeting with the development team to discuss user interface ideas and applications. Reviewing application requirements and interface designs. Identifying web-based user interactions. Developing and implementing highly responsive user interface components using react concepts. Writing application interface codes using JavaScript following react.js workflows. Troubleshooting interface software and debugging application codes. Developing and implementing front-end architecture to support user interface concepts. Monitoring and improving front-end performance. Documenting application changes and developing updates. Requirements Bachelor's degree in computer science, information technology, or a similar field. Previous experience working as a react.js developer. In-depth knowledge of JavaScript, CSS, HTML, and front-end languages. Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux. Experience with user interface design. Show more Show less

Job Description Nference has collaborations with top medical centres in the US and has access to multimodal, deidentified, longitudinal Electronic Health Records (EHR) data of millions of patients. Pharmaceutical and medtech companies find a lot of value in the clinical insights and evidence generated from this real world data (RWD) which pertains to their product. These requirements are executed as projects which pertain to a specific disease/drug/device (for e.g. brand-specific Botulinum toxin). As a Junior Clinical Scientist, you will be responsible for understanding the project-specific requirements of the pharma/medtech companies and applying clinical and research methodologies to extract evidence from the EHR data , which can be noisy and discontinuous. You will work with a team of software engineer/data scientists and use cutting edge AI/ML tools (LLM, neural networks) to perform statistical analysis and create final reports/ scientific documents to generate Real World Evidence (RWE) for the specific drug/device of interest. As an example, top pharma company FGH is interested in looking at EHR records of patients diagnosed with acute pancreatitis, to understand their drug prescription patterns and outcomes associated with these drugs. As a team, you have to create a cohort of patients diagnosed with this disease between 2000-2024 using EHR data, validate the cohort and extract outcomes (such as benefits, side effects, reason for stopping drugs,etc) from patient notes using the latest Large Language models and other AI tools. You will have support and mentorship from a team of tech-savvy doctors, senior clinical scientists, software engineers and data scientists to help you learn and execute the project independently. Requirements We are looking for MBBS students who are extremely motivated and interested in healthcare/clinical research. These profiles fit our requirements: MBBS with research/industry experience in a domain related to clinical research/ healthcare research. OR MBBS with a masters/ PhD/ fellowship related to clinical / healthcare research (for example but not limited to MS, MD, MTech,MS(R), MMST, Fellowships) Strong understanding of the nuances of medicine pertaining to patient care (a broader understanding of Cardiology/ Internal Medicine/ ICU is preferred) Basic understanding of biostatistics (Optional) Basic understanding of Python and SQL (Optional) Basic understanding of relational databases (Optional) Other Responsibilities Can Include Offer insights in customer acquisition based on the available data modalities. Collaborate closely with the AI team in developing world-class software solutions for interpreting Electronic Health Records. Write Python/R code for data analysis and visualizations Ensure high-level accuracy in tagging the dataset for the development of artificial intelligence models. Review patient notes in the EHR as required. Working in close proximity with lead clinicians(both India Based and US-based), software and data science team to conduct clinical research and analyze data Creating cohorts for conducting Real World Studies and performing statistically sound analyses with them Deriving insights from Real World data leveraging your clinical experience Developing and implementing research protocol Preparing reports, presentations and writing research documents (manuscript) Maintaining accurate records of research activities Working closely with other members of the team to ensure successful completion of research projects Benefits Chance to be a permanent 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. Chance to be a contributing author in research publications

Job Title Intern – Data Scientist (Medical Imaging and Computer Vision) Location: On-site Bengaluru About Us At nFerence Labs , often referred to as the "Google of Biomedicine" (see nference.ai/news for our latest research), we are building a large-scale pharmaco-biomedical computing platform. Using cutting-edge AI and Deep Learning on clinical text, medical images, and other biomedical signals, we aim to accelerate drug discovery and enhance early disease detection. We work closely with leading medical institutions like the Mayo Clinic to extract insights from medical data—such as radiology images, patient notes, and lab results. Our team consists of top-tier talent from institutions like MIT, Harvard, IITs, IISc , and more, combining expertise in computer science, biomedical research, and clinical medicine. About The Role We are looking for a motivated Data Science Intern to join our Medical Imaging and Computer Vision team. This internship offers a unique opportunity to gain hands-on experience developing AI models that solve real-world healthcare challenges. Key Responsibilities Assist in developing and evaluating deep learning models for medical imaging (e.g., classification, segmentation, object detection). Support image preprocessing, annotation, and data handling workflows involving DICOM and clinical image formats. Help design and test pipelines for tasks like OCR , entity detection, and de-identification of sensitive medical data. Collaborate with data scientists and medical experts to understand clinical requirements. Participate in model validation, error analysis, and performance tuning. Contribute to internal documentation, code organization, and reproducibility using tools like Git and Docker . Required Skills And Qualifications Recent Bachelor’s or Master’s graduate in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field. Strong interest in computer vision and medical imaging . Familiarity with Python and at least one deep learning library (e.g., PyTorch , TensorFlow ). Basic knowledge of OpenCV , image processing , or model training workflows. Good problem-solving skills and willingness to learn. Strong communication and team collaboration abilities. Preferred Skills (Good To Have) Academic or project exposure to medical imaging or OCR systems . Basic understanding of Docker , Git , or cloud services (AWS/GCP). Awareness of HIPAA , data privacy, or ethical AI practices. What We Offer Work on impactful healthcare AI projects. Mentorship from experienced professionals in AI, clinical research, and medical imaging. A collaborative and fast-paced learning environment. Access to world-class datasets and compute infrastructure. Possibility of full-time conversion based on performance and project needs.

We are seeking a skilled Front-end (React.js) developer to join our front-end development team. Your primary responsibility will involve developing and implementing user interface components utilizing React.js concepts and workflows like Redux, Flux, and Webpack. Additionally, you will play a key role in profiling and enhancing front-end performance while also documenting our front-end codebase. To excel in this position, you must possess a deep understanding of JavaScript and React concepts, demonstrate exceptional front-end coding skills, and exhibit a solid grasp of progressive web applications. A successful React.js developer will be capable of designing and constructing modern user interface components to elevate application performance significantly. Your responsibilities will include: - Collaborating with the development team to brainstorm user interface ideas and applications. - Reviewing application requirements and interface designs. - Identifying web-based user interactions. - Creating and integrating highly responsive user interface components using React concepts. - Composing application interface codes using JavaScript in accordance with React.js workflows. - Resolving interface software issues and debugging application codes. - Formulating and implementing front-end architecture to uphold user interface concepts. - Monitoring and enhancing front-end performance. - Documenting application modifications and crafting updates. Key requirements for this role are: - A Bachelor's degree in computer science, information technology, or a related field. - Previous experience working as a React.js developer. - Profound knowledge of JavaScript, CSS, HTML, and front-end languages. - Familiarity with React tools such as React.js, Webpack, Enzyme, Redux, and Flux. - Experience in user interface design.,