Python Programmer for Bioinformatics

Programming and Development: Hands-on programming experience in Python and frameworks like Django. Integrate external libraries, APIs, and databases into Python frameworks. Develop scalable algorithms and computational methods to process, analyze, and interpret biological data sets. Collaboration and Implementation: Collaborate with cross-functional teams to design and implement Python-based bioinformatics tools and pipelines. Work closely with biologists, data scientists, and other stakeholders to understand their needs and deliver effective computational solutions. Data Analysis: Utilize Python libraries such as Numpy and Pandas for data manipulation and analysis. Perform statistical analysis and machine learning techniques applied to biological data. Innovation and Learning: Demonstrate inquisitiveness to learn new concepts and technologies. Apply problem-solving abilities to tackle challenging bioinformatics problems.

We are a leading R&D bioinformatics lab dedicated to advancing the understanding of biological data through innovative computational methods. Our team works on cutting-edge projects that aim to solve complex biological problems using data-driven approaches.