Junior Clinical Scientist

Job Description

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