[Standigm Inc.] BD, Systems Biologist, Med Chem, AI scientist

  • July 20, 2021 3:06 AM
    Message # 10762920

     About Standigm 

    Standigm is a workflow AI-driven drug discovery company headquartered in Seoul, South Korea. Standigm has proprietary AI platforms encompassing novel target identification to lead generation to generate commercially valuable drug pipelines. Founded in 2015, the company has established an early-stage drug discovery workflow AI to generate First-in-Class lead compounds within seven months. Pursuing full-stack, AI-driven industrializing drug discovery, Standigm has achieved the automation of molecular design workflow through DarkMolFactory™, and the automation effort has been expanding to the whole drug discovery process on the basis of Standigm AI platforms, including Standigm ASK™ for target discovery, Standigm BEST™ for lead design, and Standigm Insight™ for drug repurposing. Learn more at http://www.standigm.com


    Job Description

    Business Development Specialist 

    Key Responsibilities 

    • Make global deals (Licensing-/out, research collaboration, JV etc.) 
    • Deal structure review, suggestion, assessment & negotiation 
    • Global meeting and making meeting materials 
    • Contract works: CDA, Due diligence, MTA arrangement, etc. 
    • Business analysis: SF, DCF Valuation 
    • Pipeline data review and evaluation 
    • Markettrendsearch

    Required Qualifications 

    • Minimum of 3 years of experience in Business Development in the pharmaceutical industry 
    • Excellent command in English, both oral and written 

    Preferred Qualifications 

    • A minimum of a bachelor’s degree in Pharmacy/Biology/Veterinary or related scientific discipline is required. Advanced degree is preferred 
    • Understanding of the pharmaceutical R&D process 
    • Experience in global deal-making 



    Key Responsibilities 

    • Design and support of data/network/ modeling, integration and management, along with associated computational and machine/deep learning environments for systems biology research 
    • Analyze large biological data sets to build accurate predictive models of biological processes and publish original work 
    • Demonstrated scientific understanding of systems biology and diverse types of omics data types and analysis tools 
    • Collaborate with internal and external researchers to analyze and interpret novel results using newly derived methods 

    Required Qualifications 

    • Ph D’s degree in Biology/Bioinformatics/Biochemical Engineering or related scientific discipline or above Master’s degree and 2 years of minimum experience in System Biology in the pharmaceutical /bio-Tech industry



    Key Responsibilities 

    • Small molecule drug discovery 
    • New compounds design and synthesis 
    • CRO Management 
    • Work as a team member for collaborative research projects. 

    Required Qualifications 

    • Ph D’s degree in Medicinal chemistry/ Organic chemistry or above Master’s degree and 5 years of minimum experience in Medicinal Chemist in the pharmaceutical industry 
    • High self-motivation and ability to work autonomously as part of a team 

    Preferred Qualifications 

    • Experience in molecular modeling 
    • Experience as a project leader for research projects in new drug candidate development and patent drafting 
    • Experience in research projects for AI-driven drug discovery 



    Key Responsibilities 

    • Research and secure various core technologies to discover disease targets or new drug candidates 
    • Support researchers to use data effectively with your expertise. 

    Required Qualifications 

    • A minimum of a Master’s degree in Machine Learning/Artificial Intelligence/ Statistics or related fields. Advanced degree is preferred. 
    • Ability to theoretically analyze research papers 
    • Ability to quickly validate research papers using Python 

    Preferred Qualifications 

    • Journal/award achievements in related fields (ML, AI, statistics, ...) 
    • Knowledge in biology or passion for learning biology 
    • Practical/research experience in the following area 
      - Reinforcement Learning
      - Deep Generative Model 
      - Meta Learning
      - Recommender system 
    • Combined academic and industrial research experience in state-of-the-art deep learning and statistical modeling techniques, e.g. (e.g., Transformers, BERT, Electra, T5) 

    Working Location 

    • 3rd Floor, 70 Nonhyeon-ro 85-gil, Gangnam-gu, Seoul, 06234, Republic of Korea (Near Gangnam station) 

    Employment Term 

    • Permanent, Full-time 


    • Open to Negotiate (adjusted to final candidate’s previous professional experience) 

    How to apply 

    • Send English CV/resume to apply@standigm.com

    Hiring Process 

    CV/resume screening -> 1st interview -> 2nd interview -> onboarding (ASAP)

    1 file
    Last modified: July 20, 2021 3:12 AM | Anonymous member
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