Data and Computational Biology Scientist

Job Description

At ThinkBio.Ai® we are adding Intelligence to Digital Biology. We leverage our deep expertise in Biotech, Pharma, Health Sciences, and AI, along with our experience in software development to provide platforms, toolkits, and solutions. Excellent opportunities are available to engage in cutting edge research using engineered biology-based approaches and frontier emerging areas of synthetic biology, to create transformative contributions in human drug discovery and development. We are looking for an enthusiastic and energetic Data and Computational scientist with a passion for learning and impacting human lives through scientific discoveries.

Key Responsibilities

• Help refine, develop, and build the data analytics and computational strategy for ThinkBio.Ai®
• Develop and apply computational / statistical methods to analyze various inhouse and externally sourced data including those related to biological experiments or human population parameters such as disease burden, genetic variation, cause-effect association etc.
• Analyze complex multi-omics data sets across various parameters and connect insights and observations to actionable hypotheses.
• Synthesize provided data into actionable insights by supporting any needed computational, statistical, machine learning or modeling capabilities needed to enable strategic decision making and advance our clinical and research programs.
• Develop and apply tailored data analytical and computational methods / techniques to advance both our clinical and research programs.
• Develop novel computational platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification
• Ability to integrate validated data analysis tools and pipelines from public resources to create robust data analysis and interpretation pipelines for visualization and integrative analysis, and interactive dashboards to create insightful visualization and interpretation of data.
• Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications.

Required Qualifications and Skills

Desirable Additional Experience

Experience in one or more of the following areas is highly desirable, but not essential.

Requirements

Ph.D