Develop AI solutions and optimize proprietary technology to accelerate drug discovery.
Design algorithms for protein structure analysis and biochemical processes using
advanced mathematical methods. Implement machine learning models and analyze
datasets using statistical inference. Document methodologies and production code.
Master’s degree in Mathematics or Computer Science required.
Two years of experience as an engineer or scientist, focusing on algorithm development
and machine learning.
Send resume to HR, Accutar Biotechnology Inc. 11100 NE 8th St, Suite #800, Bellevue,
WA 98004
Requirements:
Master’s degree in Computer Science or Computer Engineering required. Two years of experience as Research Assistant, Researcher or Engineer or a similar position involving research in algorithms related duties required (accept either academic or industry experience).
Work Location: Bellevue, WA
Send resume to HR, Accutar Biotechnology, Inc., 11100 NE 8th St, Suite #800, Bellevue, WA 98004
Responsibilities
Lead projects to develop theoretical model and computer assisted drug discovery
data/information system. Perform data mining in various medical/biological/chemical
data sources. Develop and test features and algorithms for organic synthesis of molecules.
Organize and lead structural biology-related experiment. Use public and in-house
experimental data to develop data-driven molecular force fields of higher accuracy to
improve its performance in tasks. Salary: $131,082
Requirements:
Bachelor degree in Biological Science or Biomedical Engineering required, and 5 years
of experience as Engineer or Researcher involving computer assisted drug discovery and
biological data mining required.
Send resume to HR, Accutar Biotechnology, Inc., 800 West El Camino Real, Suite 180,
Mountain View, CA 94040
Responsibilities
Develop modeling of complex biochemical molecules and other chemistry-related systems. Participate in the development and optimization of computer-assisted organic synthesis planning platform. Build and improve physical models of biomolecules, including docking models of small molecules into proteins, by data collection/interpretation and integration of physical/chemical knowledge into mathematical models. Perform data mining and analysis of drug discovery-related data/experiment results Lead and organize academic studies and tests, etc. Salary: $93,475
Requirements:
Master degree in Chemistry, Biochemistry, or Materials Chemistry required, and must have completed coursework in Dynamics, Quantum Mechanics, Computational Chemistry, and Ethical Chemical Research.
Send resume to HR, Accutar Biotechnology, Inc., 800 West El Camino Real, Suite 180, Mountain View, CA 94040
Design and develop drug discovery software and applications. Research and design novel
computer models to improve drug discovery pipeline. Implement, analyze, and optimize
the algorithms. Design and develop tools and platforms to improve productivity of the
team.
Send resume to HR, Accutar Biotechnology, Inc., 800 West El Camino Real, Suite 180,
Mountain View, CA 94040
We are looking for an experienced software engineer to join our full-stack engineering team. The team is responsible for developing cloud infrastructure to empower our internal software and algorithms in the drug discovery field. The team develops solutions ranging from web front-ends for internal algorithms and software products, to database systems managing our experimental projects and data, and complex distributed computation and job scheduling systems.
Please send your CV and cover letter to career@accutarbio.com.
We are looking for a talented individual to join our algorithm team to solve some of the most challenging algorithm problems in the world.
Our algorithm team is responsible for developing state of the art algorithms to implement our drug discovery methodology. We work with our biology teams to develop novel models with a strong biochemistry background. We utilize algorithms in various areas including, but not limited to, computational geometry, machine learning, optimization theory, combinatorial optimization, and bioinformatics.
We not only focus on the performance of our algorithms, but also work closely with our product team. Our products are used by the world’s best pharmaceutical companies and research institutions. To accomplish this, we spend a lot of time making our algorithm run efficiently on major hardware platforms. Besides tuning the algorithm, we also develop custom distributed platforms, machine-learning toolkits, and 3D visualization tools to get the most from the hardware we use.