Senior Biomedical R&D Engineer

Coordinate and lead medical drug discovery clinical trial projects. Design and develop plans and process for specific drug during clinical trial process. Manage investigational product supplies and participate internal audits. Develop and review specific research-related documents. Develop and coordinate research project budget, management project progress and review project performance. Collect feedbacks and data from clinical trials and prepare reports for improvement of drug performance. Manage outsourced Central Lab activities. Serve as the contacts with partners and government agency in drug approving processing. Requirements Master in Medicine or MD degree required. One years of experience in clinical trial project management related duties required. Responsibilities Conduct qualitative and quantitative chemical analyses of lab data for our drug discovery pipelines with the assistance of developed artificial intelligence (AI) empowered platform. Write technical papers and reports. Prepare standards and specifications for operational protocols of drug discovery platform. Coordinate operations of company’s medchem lab. Coordinate the drug discovery projects within with outsourcing researchers and in house researchers. Collaborate with computation department to improve the efficiency, scalability and precision of our drug-discovery platform. Qualifications Master’s degree in Chemistry or Chemical Engineering required, and 1 year of experience in a position involving AI drug discovery management or research required. Responsibilities Design, develop, evaluate and implement well-controlled biochemical and cell-based assays to address target biology and drug biology. Perform pharmacodynamic and efficacy studies of lead compounds in animal models. Generate new cell line models to address project needs. Organize and present scientific data at group and project team meetings. Maintain accurate and well-organized records and laboratory notebook. Oversee lab inventory of supplies and equipment. Qualifications MS or BS with more than 2 years of research experience in the field of cancer biology, cell biology or related. Previous experience in drug discovery, either in an academic or industry setting, is preferred. In vivo experience with mouse tumor models is a plus. High degree of proficiency in standard biochemical, cellular, and molecular biology techniques is required (transfection, ELISA, cell-based assays, immunoblotting, aseptic cell culture, cloning, etc.). Proven ability to work independently and design experiments, troubleshoot, interpret and report data back to teams. Excellent written and oral communication skills. Enthusiasm and passion for executing innovative scientific research. Collaborative and proactive attitude. Accutar Biotech offers a competitive compensation in industry, friendly and rewarding working and training environment,and excellent growth potential. Responsibilities Help identify and assess new cancer drug discovery opportunities. Independently conceive and execute experimental strategies to lead/support multiple drug discovery projects and interrogate tumor biology to understand the mechanism of actions of novel drugs and targets. Troubleshoot various cell-based assays and establish cell line models using genetic approaches. Demonstrate extensive laboratory research experience and a desire to continue in a laboratory-focused role. Engage in collaborations with internal cross-functional teams and external CROs. Supervise junior scientists. Maintain laboratory notebooks and keep in compliance with company policies. The position offers a unique opportunity for a talented scientist to develop his/her career involving a broad scope of drug discovery in a fast-paced research environment. Qualifications Ph.D. with research experience in the field of cancer biology, cell biology or related. Demonstrated track record of independent critical thinking and scientific achievement in the field of cell biology. Experience in establishing genetically modified cell line models to explore target or compound biology. Experience with in vivo models of tumor biology is preferred. Broad technical knowledge and mastery of mammalian cell culture and standard biochemical/cellular/molecular techniques, such as qPCR, quantitative western blotting and other cell-based quantitative readouts. Strong verbal and written communication skills and ability to collaborate and troubleshoot to solve problems. Responsibilities Help identify and assess new cancer drug discovery opportunities in immune-oncology therapeutic applications. Independently conceive and execute experimental strategies to lead/support multiple drug discovery projects and interrogate tumor biology to understand the mechanism of actions of novel drugs and targets. Troubleshoot various immune cell-based assays and establish cell line models using genetic approaches. Demonstrate extensive laboratory research experience and a desire to continue in a laboratory-focused role. Engage in collaborations with internal cross-functional teams and external CROs. Supervise junior scientists. Maintain laboratory notebooks and keep in compliance with company policies. Qualifications Ph.D. with 2+ years of post-doctoral research experience in the field of immuno-oncology or immunology. T cell biology is preferred. Demonstrated track record of independent critical thinking and scientific achievement in the field of immuno-oncology or immunology. Experience in isolating, phenotyping, and manipulating primary human and murine cells in vitro and ex vivo. Experience with in vivo models of tumor biology is preferred. Experience with immune cell manipulations, such as in vitro proliferation, differentiation, suppression, cytotoxicity, and co-culture assays. Broad technical knowledge and mastery of immunologically based cell and molecular assays, and downstream analysis, such as qPCR, quantitative western blotting, flow cytometry-based assays, Luminex/MSD, ELISPOT. Strong verbal and written communication skills and ability to collaborate and troubleshoot to solve problems. Accutar Biotech offers a competitive compensation in industry, friendly and rewarding working and training environment,and excellent growth potential. 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. Requirements 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. 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). Requirements 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. 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. 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. About the role 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. Requirements Bachelor’s degree in Computer Science, Computer Technology, or Intelligence Science & Technology required. Two years of experience as software developer or IT Manager involving developing software or algorithms for drug discovery process required. #J-18808-Ljbffr Accutar Biotechnology