Job Opportunity: Machine Learning Engineer - Biotech Industry (Singapore)
Location: Singapore Industry: Biotechnology
About the Client:
Our esteemed client is a pioneering force in the biotechnology sector, renowned for their commitment to advancing healthcare through groundbreaking research and development. With a mission to translate biological insights into practical solutions that enhance patient outcomes, they are currently seeking a highly motivated and skilled Machine Learning Engineer to join their dynamic team.
Position Overview:
As a Machine Learning Engineer, you will assume a pivotal role within our client's organization. Your primary focus will be harnessing advanced machine learning techniques to analyze intricate biological data, extract patterns, and generate insights that underpin their research and development endeavors. This role entails close collaboration with interdisciplinary teams of biologists, data scientists, and software engineers to create innovative solutions that accelerate scientific discovery and contribute to the development of cutting-edge therapies.
Key Responsibilities:
Data Analysis: Utilize cutting-edge machine learning algorithms to analyze and interpret complex biological datasets encompassing genomics, proteomics, imaging, and clinical data.
Feature Engineering: Identify pertinent features and attributes from diverse biological data sources, constructing robust input features for machine learning models.
Model Development: Conceive, create, and implement machine learning models encompassing supervised and unsupervised learning methodologies to extract insights and predictions from biological data.
Validation and Testing: Thoroughly evaluate model performance, validate outcomes, and conduct meticulous testing to ensure the dependability and reproducibility of developed algorithms.
Collaboration: Collaborate closely with cross-functional teams to seamlessly integrate machine learning solutions into the broader research and development pipeline, facilitating data-driven decision-making.
Prototyping: Swiftly prototype and iterate machine learning models and algorithms to address specific scientific queries or challenges.
Algorithm Optimization: Enhance and fine-tune machine learning models for performance, scalability, and efficiency, ensuring their applicability to extensive biological datasets.
Documentation: Maintain precise and comprehensive documentation of methodologies, code, and findings, facilitating efficient collaboration and knowledge exchange.
Stay Current: Remain up-to-date with the latest advancements in machine learning, biotechnology, and related domains, proactively integrating novel techniques and approaches into ongoing projects.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related discipline.
- 5 years + of hands-on experience in the development and deployment of machine learning models, ideally within a biotech, pharmaceutical, or life sciences context.
- Strong proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn.
- Robust understanding of machine learning methodologies, encompassing deep learning, feature selection, and model assessment.
- Familiarity with diverse biological data types, including genomics, imaging, and clinical data.
- Exposure to cloud computing platforms (e.g., AWS, Azure) and distributed computing for scalable machine learning.
- Strong problem-solving capabilities and the capacity to translate scientific inquiries into actionable machine learning tasks.
- Effective communication skills, enabling seamless collaboration with both technical and non-technical team members.
- A track record of publications in machine learning or bioinformatics journals/conferences is advantageous.
Why Apply:
This is a unique opportunity to merge your passion for machine learning with the realm of biotechnology, contributing directly to groundbreaking research with the potential to revolutionize healthcare. Our client offers an attractive compensation package, a collaborative and innovative work environment, and the chance to leave a lasting imprint on scientific progress.
If you're enthusiastic about pushing the boundaries of machine learning in the context of biotechnology and aspire to play a key role in impactful research, we encourage you to apply. Please submit your resume and a cover letter outlining your pertinent experience and keen interest in this role.
