Computational Biology/Bioinformatician
Computational Biologist/Bioinformatician
Position: Computational Biologist/Bioinformatician Location: Baltimore, Maryland (Remote) We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development. Key Responsibilities: Pioneering the development of innovative software tools, algorithms, and analysis pipelines to expedite the transition from concept to practical testing. Leading the in-silico design and characterization of new molecular assays for infectious diseases, leveraging qPCR and related technologies. Supervising the conversion of extensive biological customer data into actionable insights through data mining, advanced visualizations, and machine learning. Assisting the R&D team in creating scripts for efficient calculations and project management. Directing the company's overarching initiatives in the digitization of biology. Requirements Hold a Master's or Ph.D. degree with a minimum of 3 years of relevant work experience. Possess extensive knowledge in computational biology or bioinformatics, mathematics, and computer programming. Capability to work independently on complex and challenging projects. Proficiency in and a passion for data visualization and effective communication of data science findings. Demonstrable experience with data science toolkits, machine learning, statistical modeling, and tool development. Solid understanding of developing ML and statistical models for real-world applications. Strong programming skills in Python and/or R; familiarity with Rust is a plus. Experience with Linux High Performance Computing (HPC) cluster is advantageous.
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Position: Computational Biologist/Bioinformatician Location: Baltimore, Maryland (Remote) We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development. Key Responsibilities: Pioneering the development of innovative software tools, algorithms, and analysis pipelines to expedite the transition from concept to practical testing. Leading the in-silico design and characterization of new molecular assays for infectious diseases, leveraging qPCR and related technologies. Supervising the conversion of extensive biological customer data into actionable insights through data mining, advanced visualizations, and machine learning. Assisting the R&D team in creating scripts for efficient calculations and project management. Directing the company's overarching initiatives in the digitization of biology. Requirements Hold a Master's or Ph.D. degree with a minimum of 3 years of relevant work experience. Possess extensive knowledge in computational biology or bioinformatics, mathematics, and computer programming. Capability to work independently on complex and challenging projects. Proficiency in and a passion for data visualization and effective communication of data science findings. Demonstrable experience with data science toolkits, machine learning, statistical modeling, and tool development. Solid understanding of developing ML and statistical models for real-world applications. Strong programming skills in Python and/or R; familiarity with Rust is a plus. Experience with Linux High Performance Computing (HPC) cluster is advantageous.
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Apply To this Job