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Vantage Research in Chennai, India, seeks a Scientist-Biologist to lead computational exploration of disease mechanisms. The role centers on literature synthesis, identifying therapeutic targets, and translating biology into quantitative models for drug development.
The candidate will collaborate with cross-disciplinary teams, communicate findings effectively, and contribute to project strategy with a strong emphasis on computational methods and innovation.
Vantage Research is a Contract Research Organization working on the exciting field of Modeling & Simulation for Drug Development. Some of the disease areas we focus on are Oncology, Auto-Immune and Metabolism and Weight-Loss. Our core strength is the development of mechanistic models of physiology that can be customized to the drug development question at hand. We are a high performance team working with global clients and passionate about our science & impact. We are looking for motivated people to be part of our journey as we scale.
The Scientist-Biologist plays a pivotal role in driving the biological aspects of a research project, collaborating closely within an interdisciplinary team. This position entails a deep dive into the physiological mechanisms underlying various diseases, encompassing autoimmunity, immuno-oncology, neuroscience, and metabolic disorders. Through comprehensive and meticulous literature reviews, the individual will synthesize current scientific knowledge and effectively communicate findings to the team. This role is intellectually stimulating and demands a strong analytical mindset to integrate scientific insights into quantitative models, thereby catalyzing advancements in research and development. The individual will contribute significantly to shaping the direction of research, identifying potential therapeutic targets, and informing the development of innovative treatment strategies.
This position is purely computational and does not involve any wet-lab work. The successful candidate will leverage their expertise in biological sciences and computational modeling to drive impactful research and contribute to the development of novel therapeutic interventions.