Consultant - Junior Clinical Research Doctor
Location: Bangalore, India
About nference
nference is an AI-powered technology company transforming biomedical research by leveraging large-scale data, advanced machine learning, and deep scientific expertise. Our mission is to accelerate breakthroughs in healthcare and life sciences by building innovative products that help researchers and clinicians solve complex real-world problems.
Our People
At nference, you'll work alongside software engineers, AI researchers, physicians, scientists, and product leaders who are passionate about solving meaningful, real-world problems.
We foster a culture of ownership, curiosity, collaboration, technical excellence, and continuous learning. Our teams are encouraged to challenge assumptions, contribute ideas, and take ownership of their work from problem definition through implementation.
The Opportunity
We're looking for a Consultant - Junior Clinical Research Doctor with an MBBS degree and a strong interest in clinical research, healthcare technology, and AI-driven product development.
In this role, you will work closely with AI, Data Science, and Engineering teams to develop software that interprets electronic health records (EHRs) and supports biomedical research. You will apply your clinical knowledge to healthcare data curation, clinical validation, and the development of clinically sound product requirements.
The ideal candidate has a strong understanding of medicine and patient care, excellent attention to detail, and the ability to translate clinical concepts into structured data and meaningful technical requirements.
What You'll Do
- Collaborate with AI, Data Science, and Engineering teams to develop software for interpreting electronic health records and other healthcare data.
- Review and annotate clinical datasets with a high degree of accuracy to support AI model development and evaluation.
- Review patient notes and EHR records to provide clinical context and insights where required.
- Harmonize laboratory data and clinical or biomedical concepts to improve consistency and usability across datasets.
- Map healthcare data to a common data model and support standardization across different data sources.
- Curate and validate medical concepts, including diagnoses, procedures, investigations, medications, and laboratory observations.
- Develop clinically sound and scientifically relevant technical user stories using existing applications and products under development.
- Apply clinical knowledge to identify inconsistencies, ambiguities, and data quality issues in healthcare datasets.
- Support clinical validation of datasets, data mappings, and AI-generated outputs where applicable.
- Collaborate with cross-functional teams to clarify clinical requirements and translate them into structured product and technical specifications.
- Document clinical definitions, data interpretation guidelines, and validation findings to support consistency and reproducibility.
What We're Looking For
Required Qualifications
- MBBS degree from a reputed medical institution in India is mandatory.
- Strong understanding of clinical medicine, patient care, and medical terminology.
- Strong interest in clinical research, healthcare technology, and AI-driven product development.
- Ability to interpret clinical information and apply medical knowledge to healthcare datasets.
- Strong analytical and problem-solving skills.
- High attention to detail when reviewing, annotating, and validating clinical information.
- Ability to communicate clinical concepts clearly and collaborate with technical and non-technical teams.
- Good written documentation and organizational skills.
Preferred Qualifications
- Understanding of electronic health records and clinical data within the US healthcare system.
- Familiarity with medical coding systems for diagnoses, procedures, investigations, and medications.
- Exposure to clinical data curation, medical annotation, or healthcare data standardization.
- Familiarity with laboratory data, clinical terminologies, and common healthcare data models.
- Interest in AI, machine learning, and the application of technology to clinical research.
- Experience participating in clinical research, academic projects, or healthcare product development.
Why Join nference?
- Healthcare Innovation: Contribute to AI-powered technologies that support biomedical research and healthcare innovation.
- Cross-Functional Collaboration: Work closely with AI researchers, engineers, data scientists, and clinical experts.
- Meaningful Impact: Apply your medical knowledge to real-world healthcare data and product development challenges.
- Learning & Growth: Gain exposure to clinical informatics, healthcare data standardization, and AI applications in medicine.
- Research-Driven Environment: Contribute to products designed to help researchers and clinicians derive insights from complex healthcare data.
Benefits & Perks
- Industry Prestige: Build your career at an AI-first healthcare technology company working at the intersection of AI, software engineering, and biomedical research.
- Cutting-Edge Innovation: Work with complex clinical, biomedical, and unstructured healthcare data.
- Meaningful Impact: Contribute to technologies that accelerate biomedical research and improve healthcare outcomes.
- Growth & Flexibility: Work in a collaborative, innovation-driven environment with continuous learning opportunities and a hybrid work model for eligible consultants, subject to company policy and applicable terms.
- Wellness & Perks: Benefits and reimbursements, where applicable, are provided in accordance with company policies and the terms of engagement.
Equal Opportunity Employer
nference is committed to building a diverse, equitable, and inclusive workplace where everyone has the opportunity to thrive. We value different perspectives, backgrounds, and experiences and welcome applicants who are passionate about applying clinical knowledge to technology that transforms healthcare.