Miimansa

About the organization Miimansa is developing technology that will accelerate the development of medical interventions as well as patient care. A core We bring together deep expertise in clinical data-management workflows, life sciences research and AI to address some of major bottlenecks in experimental medicine thereby enabling clinical trials sponsors to design trials that are easier to execute and entail lower risk. We encourage hybrid (remote/in-person) working arrangements and are committed to creating a culture of collaborative learning and discovery. There are lots of opportunities to grow with us! Responsibilities As a NLP scientist with Miimansa you will be responsible for developing and prototyping novel methods for a variety of natural language understanding tasks for clinical texts. You will be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. You will follow advancements in the SOTA methods that are relevant to Miimansa’s product pipeline and provide recommendations for product roadmap and strategy. Qualifications and skills Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered. At least 2+ years of experience in NLP and relevant projects. May be relaxed for candidates with a PhD A sound understanding of common NLP tasks (such text classification, entity recognition, entity extraction, question answering) Understanding of NLP techniques for language modeling, text representation, and semantic extraction techniques Good grasp of current DNN architectures, training and evaluation methods in NLP and ability to adapt them for clinical/medical data and problems. Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas. Familiarity with NLP literature, thrust areas, conference venues and code repositories. Proficiency in programming in Python and libraries such as Huggingface, Spacy, OpenAI API Willingness and ability to mentor engineering interns. Show more Show less

Company Miimansa is developing technology that will accelerate the development of medical interventions as well as patient care. A core We bring together deep expertise in clinical data-management workflows, life sciences research and AI to address some of major bottlenecks in experimental medicine thereby enabling clinical trials sponsors to design trials that are easier to execute and entail lower risk. We encourage hybrid (remote/in-person) working arrangements and are committed to creating a culture of collaborative learning and discovery. There are lots of opportunities to grow with us! NLP scientist As a NLP scientist with Miimansa you will be responsible for developing and prototyping novel methods for a variety of natural language understanding tasks for clinical texts. You will be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. You will follow advancements in the SOTA methods that are relevant to Miimansa’s product pipeline and provide recommendations for product roadmap and strategy. Qualifications and skills Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered. At least 2+ years of experience in NLP and relevant projects. May be relaxed for candidates with a PhD A sound understanding of common NLP tasks (such text classification, entity recognition, entity extraction, question answering) Understanding of NLP techniques for language modeling, text representation, and semantic extraction techniques Good grasp of current DNN architectures, training and evaluation methods in NLP and ability to adapt them for clinical/medical data and problems. Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas. Familiarity with NLP literature, thrust areas, conference venues and code repositories. Proficiency in programming in Python and libraries such as Huggingface, Spacy, OpenAI API Willingness and ability to mentor engineering interns.

About Miimansa Miimansa is a health tech startup at the forefront of AI and machine learning applications in life sciences and healthcare. We digitise clinical workflows with the help of modern AI tooling, to achieve improved clinical and financial outcomes for drug developers, patients, providers & payers. Role Overview We are seeking a hands-on and visionary Engineering Manager to lead the end-to-end product engineering lifecycle. This role combines leadership, technical excellence, strategic thinking, and people management to build impactful technology solutions in the healthcare and life sciences domain.​ Key Responsibilities Technical Oversight : Provide hands-on leadership in AI/ML system design and deployment, working closely with individual contributors to guide solution architecture, data pipelines, algorithm selection, and model development. Embrace a collaborative, in-the-trenches approach to ensure the quality, reliability, security, and scalability of AI systems in production environments. Project Planning & Execution : Take ownership of defining project scope, objectives, and deliverables, while actively engaging with team members to align day-to-day execution with strategic goals. Lead detailed planning, timeline management, and resource allocation with a focus on team synergy, enabling world-class delivery standards within time and budget constraints. Innovation & Problem-Solving : Foster a mindset of innovation through active collaboration and by supplementing individual team strengths. Tackle challenges alongside contributors, translating complexity into practical, high-impact solutions. Champion continuous improvement and technical excellence in every phase of AI/ML development. Required Qualifications Bachelor’s/Master’s/Ph.D. in Computer Science, Machine Learning, Engineering, or a related technical field. Proven hands-on experience in AI/ML system development, including designing, building, and deploying models at scale. Strong foundational knowledge of data engineering , machine learning algorithms , and cloud-native architectures . Demonstrated ability to lead from within the team , actively contributing to technical problem-solving and supporting team members at an individual level. Deep understanding of ML Ops , CI/CD practices, versioning, and monitoring AI systems in production. Experience managing complex projects with cross-functional teams , delivering against aggressive timelines without compromising on quality. Strong interpersonal and leadership skills with the ability to balance strategic vision with execution detail . A track record of fostering innovation, mentoring talent, and elevating team performance through technical and emotional intelligence. Preferred Qualifications Experience in healthcare IT or clinical research informatics. Familiarity with healthcare data standards (e.g., HL7, FHIR). Knowledge of AI/ML applications in healthcare. Understanding of regulatory requirements in healthcare software development.​

The Engineering Manager position at Miimansa involves leading the end-to-end product engineering lifecycle within the healthcare and life sciences domain. As an Engineering Manager, you will be responsible for providing technical oversight, project planning and execution, innovation, and problem-solving to ensure the quality, reliability, security, and scalability of AI systems in production environments. Your key responsibilities will include hands-on leadership in AI/ML system design and deployment, guiding solution architecture, data pipelines, algorithm selection, and model development. You will define project scope, objectives, and deliverables, align day-to-day execution with strategic goals, and manage detailed planning, timeline, and resource allocation for world-class delivery standards within time and budget constraints. To qualify for this role, you should have a Bachelors/Masters/Ph.D. in Computer Science, Machine Learning, Engineering, or a related technical field. You must possess proven hands-on experience in AI/ML system development, strong foundational knowledge of data engineering, machine learning algorithms, and cloud-native architectures, and demonstrated ability to lead from within the team while actively contributing to technical problem-solving. Additionally, you should have experience managing complex projects with cross-functional teams, familiarity with ML Ops, CI/CD practices, versioning, and monitoring AI systems in production, as well as strong interpersonal and leadership skills. A track record of fostering innovation, mentoring talent, and elevating team performance through technical and emotional intelligence will be highly valued. Preferred qualifications include experience in healthcare IT or clinical research informatics, familiarity with healthcare data standards like HL7 and FHIR, knowledge of AI/ML applications in healthcare, and an understanding of regulatory requirements in healthcare software development. If you are looking to make a significant impact in the field of AI/ML within healthcare and life sciences, this role at Miimansa offers a unique opportunity to lead innovative technology solutions and drive continuous improvement in a collaborative and dynamic environment.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

Miimansa is a health tech startup at the forefront of AI and machine learning applications in life sciences and healthcare. We digitise clinical workflows with the help of modern AI tooling, to achieve improved clinical and financial outcomes for drug developers, patients, providers & payers. NLP scientist We are seeking talented and motivated NLP Data Scientists to join our AI/ML team. You will be responsible for designing, developing, and deploying state-of-the-art natural language processing models and tools. Your work will contribute directly to products and solutions that extract, structure, and generate insights from vast and complex text data sources. You will follow advancements in the SOTA methods that are relevant to Miimansa’s product pipeline and provide recommendations for product roadmap and strategy. You can also opt to be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. Key Responsibilities Develop and deploy NLP models for tasks such as information extraction, text classification, named entity recognition, topic modeling, and summarization. Apply deep learning and transformer-based approaches (e.g., BERT, GPT, RoBERTa) to solve real-world language problems. Build robust, scalable data pipelines for ingesting, cleaning, and processing unstructured text data. Design and conduct experiments to evaluate NLP models and iterate on model performance. Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver actionable solutions. Stay up-to-date with the latest research and trends in NLP and AI, and integrate advancements into production systems. Qualifications and skills Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered. Bachelor’s, Master’s or PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field. Solid understanding of core NLP concepts and techniques (such as text classification, entity recognition, entity extraction, question answering) Hands-on experience with NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, Gensim, or AllenNLP. Proficiency in Python and experience with ML/DL libraries such as PyTorch or TensorFlow. Strong analytical and problem-solving skills, with experience in designing experiments and interpreting model performance metrics. Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas. Willingness and ability to mentor engineering interns.

Company Miimansa is developing technology that will accelerate the development of medical interventions as well as patient care. A core We bring together deep expertise in clinical data-management workflows, life sciences research and AI to address some of major bottlenecks in experimental medicine thereby enabling clinical trials sponsors to design trials that are easier to execute and entail lower risk. We encourage hybrid (remote/in-person) working arrangements and are committed to creating a culture of collaborative learning and discovery. There are lots of opportunities to grow with us! NLP scientist As a NLP scientist with Miimansa you will be responsible for developing and prototyping novel methods for a variety of natural language understanding tasks for clinical texts. You will be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. You will follow advancements in the SOTA methods that are relevant to Miimansa’s product pipeline and provide recommendations for product roadmap and strategy. Qualifications and skills Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered. At least 2+ years of experience in NLP and relevant projects. May be relaxed for candidates with a PhD A sound understanding of common NLP tasks (such text classification, entity recognition, entity extraction, question answering) Understanding of NLP techniques for language modeling, text representation, and semantic extraction techniques Good grasp of current DNN architectures, training and evaluation methods in NLP and ability to adapt them for clinical/medical data and problems. Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas. Familiarity with NLP literature, thrust areas, conference venues and code repositories. Proficiency in programming in Python and libraries such as Huggingface, Spacy, OpenAI API Willingness and ability to mentor engineering interns.

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks related to clinical texts. Your responsibilities will include being a key contributor to Miimansa's research collaborations with academic NLP research groups, engaging in NLU challenge tasks, and contributing to publications. You will stay updated on state-of-the-art methods relevant to Miimansa's product pipeline and offer recommendations for the product roadmap and strategy. Key Responsibilities: - Develop and prototype novel methods for natural language understanding tasks in clinical texts - Collaborate with academic NLP research groups and participate in NLU challenge tasks and publications - Stay abreast of advancements in state-of-the-art methods relevant to Miimansa's product pipeline - Provide recommendations for product roadmap and strategy based on latest NLP research Qualifications and Skills: - Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor's degree in CS and relevant experience will also be considered. - Minimum of 2+ years of experience in NLP and relevant projects. This requirement may be relaxed for candidates with a PhD. - Solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. - Familiarity with NLP techniques for language modeling, text representation, and semantic extraction. - Proficiency in current DNN architectures, training, and evaluation methods in NLP, with the ability to adapt them for clinical/medical data and problems. - Hands-on experience with repository management, GPU utilization, and setting up NLP pipelines for testing new ideas. - Knowledge of NLP literature, key areas of research, relevant conferences, and code repositories. - Proficient in Python programming and libraries like Huggingface, Spacy, and OpenAI API. - Willingness and ability to mentor engineering interns. Miimansa is at the forefront of developing technology to enhance medical interventions and patient care. We offer a hybrid working environment and foster a culture of collaborative learning and discovery. Join us to explore abundant opportunities for professional growth and development.,

Miimansa is a health tech startup at the forefront of AI and machine learning applications in life sciences and healthcare. We digitise clinical workflows with the help of modern AI tooling, to achieve improved clinical and financial outcomes for drug developers, patients, providers & payers. NLP scientist We are seeking talented and motivated NLP Data Scientists to join our AI/ML team. You will be responsible for designing, developing, and deploying state-of-the-art natural language processing models and tools. Your work will contribute directly to products and solutions that extract, structure, and generate insights from vast and complex text data sources. You will follow advancements in the SOTA methods that are relevant to Miimansa’s product pipeline and provide recommendations for product roadmap and strategy. You can also opt to be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. Key Responsibilities Develop and deploy NLP models for tasks such as information extraction, text classification, named entity recognition, topic modeling, and summarization. Apply deep learning and transformer-based approaches (e.g., BERT, GPT, RoBERTa) to solve real-world language problems. Build robust, scalable data pipelines for ingesting, cleaning, and processing unstructured text data. Design and conduct experiments to evaluate NLP models and iterate on model performance. Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver actionable solutions. Stay up-to-date with the latest research and trends in NLP and AI, and integrate advancements into production systems. Qualifications and skills Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered. Bachelor’s, Master’s or PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field. Solid understanding of core NLP concepts and techniques (such as text classification, entity recognition, entity extraction, question answering) Hands-on experience with NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, Gensim, or AllenNLP. Proficiency in Python and experience with ML/DL libraries such as PyTorch or TensorFlow. Strong analytical and problem-solving skills, with experience in designing experiments and interpreting model performance metrics. Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas. Willingness and ability to mentor engineering interns.

About Us Miimansa is developing technology that will accelerate the development of medical interventions as well as patient care–— a unified suite that turns raw, unstructured clinical data into structured, standardized, and privacy-preserved intelligence. At the core we bring together deep expertise in clinical data-management workflows, life sciences research and AI to address some of the major bottlenecks in experimental medicine. Through continuous innovation and a strong network of partnerships with healthcare and clinical research leaders, we have achieved demonstrable success in crucial health data management tasks. For instance, we are at the bleeding edge in automatic data de-identification, extraction of complex clinical entities and mapping to global standards such as SNOMED CT, RxNorm, and FHIR. The next stage of our journey is to achieve architectural readiness that allows these solutions to scale securely, evolve rapidly, and efficiently operationalize the newest advances in AI. The Role We’re looking for a Senior Software Engineer who will play a pivotal role in componentizing our AI pipeline and leading its transition to the cloud. This is both a hands-on engineering challenge and a strategic systems-design role: you’ll architect component boundaries, refactor legacy modules, implement CI/CD pipelines, and champion engineering excellence across the team. You’ll work directly with the tech leadership and cross-functional leads to achieve the readiness for scale — helping power the next generation of responsible, interoperable AI for healthcare. This is a foundational role with significant scope for ownership, influence, and leadership growth. Responsibilities Architect and build a scalable microservices-based system to support rapid development and deployment cycles. Refactor existing Python-based code into independent, testable services with well-defined APIs. Build and manage CI/CD pipelines using Jenkins, GitHub Actions, or similar tools. Develop cloud-native infrastructure with an infrastructure as code stack (Docker, Kubernetes, Terraform, Prometheus/Grafana). Collaborate with data scientists and AI engineers to containerize and integrate LLM- and NLP-driven components. Drive best practices in code review, documentation, and automated testing. Mentor engineers and uphold a culture of quality, reliability, and innovation. Qualifications 5-10 years of hands-on software engineering experience. Strong in Python; experience with TypeScript/React a plus. Proven experience designing or refactoring modular or microservice architectures. Deep familiarity with AWS / GCP / Azure, Docker, Kubernetes, and CI/CD pipelines. Solid understanding of testing frameworks, API design, and data pipeline orchestration (Airflow/Prefect). Exposure to AI/ML systems (especially NLP or LLM applications) preferred. Awareness of health data standards (FHIR, OMOP, SNOMED, RxNorm) and privacy regulations (HIPAA, DPDP Act) is a strong bonus. Who You Are A systems thinker who designs for evolution and scale. A hands-on builder who thrives in refactoring, debugging, and iterating. A collaborative leader who can guide the team and elevate code quality. A curious technologist tracking the latest in AI infrastructure and large-language-model tooling. Motivated to grow into a Platform Architect / Head of Engineering role as Miimansa’s product ecosystem expands.  Why Join Miimansa AI Be part of a core engineering team shaping the backbone of ethical AI in healthcare. Work at the intersection of AI, cloud architecture, and clinical data privacy. Collaborate with India’s leading hospitals, research institutions, and global partners. Help realize Miimansa’s vision of bridging care, research, and evidence — one component at a time.