Overview of role
P&G has established Singapore’s the largest private research facility in the heart of Biopolis, Singapore’s Life Sciences Hub. In this role, you will specialize in image and multi-omics analysis. You will also be responsible for developing and implementing cutting-edge AI models and tools to analyze and integrate diverse biological data, including but not limited to images, genomics, transcriptomics, proteomics, and metabolomics data. If this sounds exciting to you, read on!
Your team
Located at the P&G Singapore Innovation Center, you will be part of the Global BioScience organization. You will have the opportunity to work in global & regional multi-functional teams and engage with both internal and external partners.
How success looks like
- Innovation and Problem Solving: Successfully applying computational techniques to address complex biological questions or challenges to reveal business applicable insights.
- Algorithms and Models for Real-world Application: Develop & integrate algorithms, models, and methodologies that solve complex AI problems or improve the performance of existing AI systems is a crucial success criterion. Successfully translate the models into practical applications that can be scaled and used in real-world scenarios.
- Data integration and Management:. Develop data ETL pipelines and tools that help to automate data integration/management, visualize complex data, or provide a platform for data sharing.
- Collaborations: Building successful partnership with experimental biologists, data engineers, and internal/external collaborators that can lead to interdisciplinary breakthroughs. The ability to bridge the gap between computational analysis and biological experimentation is highly valued.
- Continued Learning: Demonstrate a commitment to staying updated with new methodologies, technologies, and research trends is important for long-term success.
Key Responsibilities
- Image Analysis: Develop and implement algorithms and computational pipelines for the analysis of biological images, including microscopy, clinical images, and other imaging modalities.
- Multi-omics Data Analysis & Integration: Apply state-of-the-art computational methods to analyze and integrate diverse biological datasets, including but not limited to genomics, transcriptomics, proteomics, and metabolomics data.
- AI and Machine Learning: Utilize AI and machine learning algorithms to uncover patterns, correlations, and predictive models from multi-dimensional biological datasets, enabling a better understanding of biological processes and mechanisms. These may involve feature selection, dimensionality reduction, clustering, and predictive modelling.
- Data Integration: Work on integrating image data with other biological data types to comprehensively understand biological systems and mechanisms.
- Data Management: Design and optimize databases to efficiently store and retrieve multi-omics and image data. Ensure data integrity and security while facilitating easy access for researchers.
- Collaborative Research: Collaborate with experimental biologists and other researchers to design experiments, analyze data, and interpret results in a multidisciplinary environment.
Job Qualifications
- Masters or Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related field.
- Proficiency in programming languages commonly used in computational biology, such as Python, or R.
- Experience with AI and general-purpose machine learning techniques and libraries.
- Knowledge of database management and data integration methodologies.
- Understanding of statistical methods for analyzing biological data.
- Familiarity with image analysis and relevant software packages. These analyses may include image segmentation, feature extraction, object detection, and tracking.
- Proficiency in utilizing bioinformatics databases and resources for biological data analysis.
- Strong analytical and problem-solving skills, with the ability to interpret complex biological data.
- Understand historical and cutting-edge approaches in computational biology, bioinformatics, and AI and incorporate the right methodologies for the job.
- Excellent communication skills to collaborate effectively with interdisciplinary teams and present findings to stakeholders
About us
We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit http://www.pg.com to know more.
Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.
We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
