Computational Biology/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.RequirementsHold 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.
Apply Now
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.RequirementsHold 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.
Apply Now