6 Aiml Methods Jobs

Join Aganitha and be a part of the team contributing to the discovery of medicines that will positively impact lives. Aganitha is a leading company in co-innovation with global clients, specializing in research and development transformation across industries with a focus on Biopharma, consumer brands, and materials design. As a Scientist at Aganitha, you will play a crucial role in leveraging cutting-edge technologies like computational chemistry, materials science, AI/ML, and high-performance computing in the Cloud to accelerate design and development processes. **Key Responsibilities:** - Perform Molecular Dynamics (MD) simulations and Quantum Mechanics (QM) calculations to understand bio...

Role Overview: As a Data Sciences Lead at Syngene, you will be responsible for leading the data sciences team and applying cutting-edge data analytics and AI/ML methods to drive data-driven R&D. Your role will involve working closely with domain experts and clients to understand data and business challenges to implement scalable solutions. Additionally, you will lead and develop the data science team and contribute to writing research papers and reports. Key Responsibilities: - Apply analytics and predictive modeling, primarily focusing on chemical and biological data. - Implement AI workflows to enhance decision-making and create digital twins of R&D processes. - Develop data modeling strat...

You will play a crucial role in the Advanced Data Science team within the Data Sciences organization, focusing on fostering scientific excellence in digital biomarkers and endpoints. Your main responsibilities will include: - Leading the identification, development, and implementation of innovative digital endpoints and outcome measures - Collaborating with the Global Digital Health organization to design and validate algorithms for extracting clinically relevant insights - Incorporating digital health technologies into evidence generation strategies to promote their adoption in clinical trials and medical practice - Contributing to key regulatory filings and publications advocating for the ...

As a Scientist at Aganitha, you will play a crucial role in leveraging cutting-edge advancements in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. Your contributions will accelerate design and development across various applications within Biopharma, consumer brands, and the materials design industry. **Key Responsibilities:** - Perform Molecular Dynamics (MD) simulations and Quantum Mechanics (QM) calculations to understand biomolecular interactions, support small molecule or PROTAC design, facilitate catalyst design, investigate chemical reaction mechanisms, and conduct polymorph screening. - Define data models and featu...

As a member of our global team in the Data Sciences organization, you will play a crucial role in establishing scientific excellence in the development of digital biomarkers and endpoints. Your primary responsibility will be leading the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. This will involve close collaboration with the Global Digital Health organization to design and validate algorithms extracting clinically relevant insights from various digital health data sources. Your expertise will ensure scientific rigor, clinical validity, and regulatory readiness in this process. In this ...

As a member of our global team, you will play a crucial role in fostering scientific excellence in the field of digital biomarkers and endpoints within the Advanced Data Science team of the Data Sciences organization. Your primary responsibilities will include leading the identification, development, and implementation of innovative digital endpoints and outcome measures across various clinical trials and life cycle management programs. By collaborating closely with the Global Digital Health organization, you will be instrumental in designing and validating algorithms that extract clinically relevant insights from a diverse range of digital health data sources, such as wearables, sensors, an...