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Scientist/Senior Scientist, Computational Biology

Company: KSQ Therapeutics
Location: Cambridge
Posted on: October 13, 2020

Job Description:

About KSQ Therapeutics At KSQ Therapeutics, we seek to understand the role of every human gene in each disease, each tissue, and each cell that we study. This comprehensive approach has resulted in massive, experimentally derived datasets with remarkable concordance to past successes and failures in oncology and immuno-oncology product development. Utilizing this approach, we have identified multiple opportunities for the development of new medicines. As a result, we have aggressively invested in these distinct, highly validated pathways for new drug development with the expectation that the medicines we create may become the next breakthrough products for patients. Founded in late 2015, KSQ is a preclinical-stage biotech in Kendall Square that has rapidly advanced the field of CRISPR-enabled functional genomics, from in vitro cell autonomous screens to more complex genome-scale screens of immune cells in vivo. The company has expanded the scope of its technology to include multiple cell types and to unlock areas beyond oncology. KSQ is led by a team of accomplished industry experts in drug discovery and development. We maintain a lively and inquisitive environment in the heart of the vibrant Kendall Square (KSQ) neighborhood. Position Summary KSQ is seeking an exceptional Computational Biologist. This Scientist will make critical contributions to Target Discovery at KSQ, with responsibility for mining in-house CRISPR screening experiments, and presenting findings to a cross-functional scientific team. This role will provide exposure to multiple phases of drug discovery and development, with a mission to leverage information-rich datasets to validate targets, elucidate mechanism of action, and inform patient selection strategy. The successful candidate will interface closely with colleagues across the company, and be a key contributor on a diverse, multidisciplinary team. Requirements Core Qualifications Excellent communication, presentation, and interpersonal skills BSc-PhD training in Bioinformatics, Biostatistics, Biochemistry, Biology, Immunology, or a similar discipline - title will be commensurate with experience Strong coding skills required, fluency in R or Python, and experience using software libraries for data processing, statistical analysis, and data visualization Experience implementing workflows to process high-throughput sequencing data, and performing downstream analysis that generates biological insights Preferred Qualifications Knowledge of molecular biology, and genetics is highly preferred Experience using Linux and high-performance computing environments (AWS, SGE, SLURM, GCP), and portable pipeline development (Nextflow, Snakemake, Docker) is highly preferred Experience analyzing large-scale immunology/oncology datasets (ImmGen, TCGA, CCLE) is a plus Experience leveraging population genetics databases (UK Biobank) is a plus Familiarity with software development best practices is a plus

Keywords: KSQ Therapeutics, Cambridge , Scientist/Senior Scientist, Computational Biology, Other , Cambridge, Massachusetts

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