Bioinformatics Lead

As a Bioinformatics Technical Lead at our organization, you will be responsible for driving our computational biology initiatives. With at least 6-8 years of industry or academic experience, holding a PhD or Masters in a relevant field, you will have a demonstrated track record in developing and refining high-throughput pipelines for various omics data types, such as RNA-seq, methylation, and new NGS modalities. This role requires a high level of technical expertise, creativity, and the ability to innovate novel computational algorithms. You will have the opportunity to collaborate directly with distinguished professors from prestigious institutions like MIT, Caltech, Harvard, and others. While primarily functioning as an individual contributor, you will guide a small team of 24 highly qualified bioinformaticians in a technical capacity, focusing on pipeline development, optimization, and algorithmic enhancements. Your key responsibilities will include designing, implementing, and optimizing scalable, production-grade pipelines for NGS data analysis, ensuring reproducibility, efficiency, and accuracy of computational workflows. You will also be involved in developing and applying novel computational algorithms for gene expression profiling, variant calling, and other genomic analyses, as well as mentoring junior bioinformaticians and computational scientists. Collaboration with molecular biologists, data scientists, and software engineers will be essential in translating project goals into robust computational strategies. Maintaining high standards of data integrity, documentation, and version control, as well as implementing quality control checks and validation strategies, will also be part of your role. To qualify for this position, you should hold a PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, or a Masters degree with significant experience. You must have 6-8 years of hands-on experience analyzing high-throughput NGS data, with a focus on RNA-seq, and a proven track record in developing production-level bioinformatics pipelines. Strong programming skills in at least one major language, familiarity with HPC clusters or cloud computing environments, and expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics are essential technical skills required. Preferred qualifications include experience working in a regulated environment, familiarity with workflow management systems, knowledge of containerization technologies, and a history of publications or patents in computational genomics or related areas. Soft skills such as the ability to work in a fast-paced, collaborative environment, strong problem-solving abilities, and the willingness to adapt to new technologies and methodologies will be beneficial in this role.,