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.,