Biomedical AI Methods Expert
Kachiguda, Hyderabad
4 years
Machine LearningDeep LearningPython BasicsTransfer LearningGenerative Artificial IntelligenceLogical ReasoningEvaluation techniquesVersion ControlML Model TrainingDistributed scalable systemsFoundation DesignAI softwarePharmaceutical Data AnalysisDrug DiscoveryCross-Functional CollaborationExperimental designQuality Metrics AnalysisOpen-source ContributionScientific WritingComputational chemistry
Job Description:
Responsibilities:
Work with a team of AI researchers, data scientists and SMEs with core domain expertise to develop and deliver focused, robust, performant AI algorithms and solutions to accelerate drug discovery.
Stay informed about the latest AI methods, increase understanding of the problem domain, and ask detailed questions to identify potential areas for innovation in AI across the drug discovery pipeline.
Promote awareness of advancements in AI methods for addressing key research questions within biomedical research.
Fluently adopt Engineering and Product Development resources to ensure the adoption of AI solutions.
Help position AI-aided drug discovery contributions to deliver and support progress of BR’s portfolio, enable new kinds of therapeutic discoveries, shorten cycle times, and increase efficiency.
Collaboration & partnershi
A respectful, team-player attitude is an absolute must.
Regularly communicate, engage, align with AICS teams, broader data science community, and senior scientists.
Initiate and lead key high-value internal collaborations across BR.
Help design translatable metrics for AI models that will lead to tangible impact in collaboration with BR DAs and FAs.
Collaborate cross-functionally to translate model outputs into actionable hypotheses and guide experimental design.
Nice to have:
Experience with applying ML to one or more functional areas of core drug discovery like target identification, computational chemistry, protein structure modelling and design or translational medicine is a plus.
