Nanjing Likang Pharmaceutical Technology Co., Ltd. is a technology company that specializes in the intersection of biomedicine and artificial intelligence. The company focuses on integrating cutting-edge AI technologies into the entire process of diagnosing and treating mental health disorders, aiming to provide precise, efficient, and personalized treatment plans for patients with mental health issues. This initiative aims to drive innovation and development in the field of mental health care, thereby improving patients' quality of life and reducing the social and medical burden. Currently, the company is at a critical stage of rapid growth and urgently needs to attract top talent from overseas to further enhance its R&D capabilities and technological innovation.

Job Profile:

(1)Proficient in bioinformatics analysis tools, capable of mining and interpreting high-throughput biological data (such as gene sequencing data and protein expression profiles) to identify potential biomarkers. Capable of independently designing and conducting biological experiments, skilled in using various biological experimental techniques, including cell culture, animal model construction, and the collection and processing of biological samples, ensuring the accuracy and reliability of experimental data. Familiar with clinical research standards and procedures, able to work closely with clinical teams to translate biomarker research findings into clinical applications, providing robust support for the early diagnosis, treatment monitoring, and prognosis assessment of mental disorders. (2)Technical Requirements: Possess extensive experience in developing and optimizing artificial intelligence models. Be capable of designing and constructing efficient deep learning models to address complex issues in the diagnosis and treatment of mental disorders, providing intelligent support for functions such as mental health diagnosis, treatment plan recommendations, and prognosis predictions. Be familiar with the characteristics and processing methods of medical data, and be able to effectively integrate, clean, and label multi-modal medical data, including electronic medical records, imaging data, and physiological signal data, to provide a high-quality data foundation for model training. Understand the basics of biomedicine and be able to communicate and collaborate with biomedical teams across disciplines, integrating artificial intelligence technology with biomedical research to promote innovative applications of AI in the field of mental health diagnosis and treatment.

Job Details:

Responsibilities:

(1)Technical Requirements: Proficient in bioinformatics analysis tools, capable of mining and interpreting high-throughput biological data (such as gene sequencing data and protein expression profiles) to identify potential biomarkers. Capable of independently designing and conducting biological experiments, skilled in using various biological experimental techniques, including cell culture, animal model construction, and the collection and processing of biological samples, ensuring the accuracy and reliability of experimental data. Familiar with clinical research standards and procedures, able to work closely with clinical teams to translate biomarker research findings into clinical applications, providing robust support for the early diagnosis, treatment monitoring, and prognosis assessment of mental disorders.
(2)Technical Requirements: Possess extensive experience in developing and optimizing artificial intelligence models. Be capable of designing and constructing efficient deep learning models to address complex issues in the diagnosis and treatment of mental disorders, providing intelligent support for functions such as mental health diagnosis, treatment plan recommendations, and prognosis predictions. Be familiar with the characteristics and processing methods of medical data, and be able to effectively integrate, clean, and label multi-modal medical data, including electronic medical records, imaging data, and physiological signal data, to provide a high-quality data foundation for model training. Understand the basics of biomedicine and be able to communicate and collaborate with biomedical teams across disciplines, integrating artificial intelligence technology with biomedical research to promote innovative applications of AI in the field of mental health diagnosis and treatment.

Qualifications:

(1)Responsibilities: Responsible for the discovery and identification of biomarkers related to mental disorders, developing and implementing R&D plans, leading project teams in experimental research. Collaborating with the AI team to use machine learning and other technologies to analyze and model biomarker data, enhancing the efficiency and accuracy of biomarker screening. Writing scientific papers and project reports, actively applying for patents, and promoting the intellectual property protection and commercialization of biomarker R&D outcomes.
(2)Responsibilities: Lead the development and application of artificial intelligence (AI) technology in the diagnosis and treatment of mental disorders, including algorithm design, model development, and system integration. Lead the project team to implement product functionalities. Collaborate closely with the biomedical team to explore the relationship between biomarker data and clinical diagnostic data, using AI to optimize the screening and application processes of biomarkers, thereby enhancing the accuracy and efficiency of mental health diagnoses. Stay updated on the latest advancements in AI technology and healthcare research internationally, providing forward-looking recommendations to support the company's AI development strategy and maintain its technological leadership in the industry.

Benefit:

To be discussed

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