Senior Data Scientist

About

Our client, a cutting-edge research institution at the forefront of scientific discovery, is looking for a highly motivated Senior Data Scientist specializing in Bioinformatics to join their esteemed team in Jos, Plateau, NG. This role offers a unique opportunity to leverage advanced computational techniques to analyze complex biological data, driving forward critical research in genomics, proteomics, and systems biology. You will be instrumental in developing novel analytical methods and contributing to high-impact scientific publications and projects.

The Senior Data Scientist will be responsible for the end-to-end analysis of large-scale biological datasets, including next-generation sequencing data, mass spectrometry data, and other omics data. This involves data preprocessing, quality control, statistical analysis, and the development of predictive models. You will collaborate closely with bench scientists, bioinformaticians, and clinicians to understand research questions, design appropriate analytical approaches, and interpret results in a biological context. Key duties include developing and implementing bioinformatics pipelines, creating compelling data visualizations, and presenting findings to both technical and non-technical audiences. A strong understanding of machine learning algorithms and their application in biological research is essential. You will also contribute to the maintenance and development of bioinformatics databases and resources.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a significant focus on biological data analysis.
• A minimum of 5 years of experience in a bioinformatics or data science role, preferably within a research or academic setting.
• Proficiency in programming languages such as Python or R.
• Experience with bioinformatics tools and databases (e.g., NCBI databases, Ensembl, BLAST).
• Familiarity with statistical software and machine learning libraries (e.g., SciPy, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Excellent problem-solving skills, strong analytical abilities, and the capacity to work independently and as part of a collaborative research team.
• Experience with high-performance computing environments is a plus.

Key Responsibilities

• Analyze large-scale genomic, proteomic, and other omics datasets.
• Develop and implement bioinformatics pipelines and algorithms.
• Apply statistical and machine learning methods to biological data.
• Collaborate with researchers to design and interpret experiments.
• Create clear and informative data visualizations.
• Present research findings to scientific audiences.
• Contribute to scientific publications and grant proposals.
• Maintain and manage bioinformatics databases and software tools.
• Stay abreast of the latest advancements in bioinformatics and data science.

About the Role

This is an exceptional career opportunity for a talented scientist to make significant contributions to groundbreaking research in Jos, Plateau, NG. Become part of a dynamic and intellectually stimulating environment.