Recruit Detail
Find out more about the work we do, the experience and skills we can bring to the table, and our terms and conditions.
Company Name
Knowledge Palette Co., Ltd.
Job Type
Computational Life Sciences (Machine Learning Engineer/Data Scientist)
Work Detail
In the pharmaceutical industry, where the time and cost required for new drug development are increasing year by year, advances in AI technologies such as machine learning and deep learning, as well as improvements in computer-based data processing speeds, are expected to play a major role in solving this problem, and are already bringing about decisive changes such as shortening the drug discovery process and significantly improving the probability of development. Our company collects cellular big data based on a unique approach: "Manipulating cells with big data extracted from cells to create new drugs." We are looking for researchers who are motivated by a wide range of research and development, from basic to applied, and who can promote the development of machine learning and data analysis technologies for new drug discovery and the practical application of regenerative medicine. Our company develops cutting-edge experimental and analytical technologies, allowing us to analyze and apply the large-scale, high-precision cellular big data that is obtainable only through our own research and collaborative research. Specifically, we are developing a wide variety of machine learning algorithms, such as the following, through our own research and collaborative research. ・Using semi-supervised learning, you will analyze the cell types and ratios contained in cell samples at the single-cell level to identify cells and genes related to disease mechanisms and drug discovery targets. ・Using causal inference algorithms, you will infer gene regulatory networks to understand the principles of cellular activity and the causes of disease. ・Using Bayesian optimization, you will develop experimental plans to optimize cell culture conditions and manufacturing processes for regenerative medicine products. ・Using segmentation to extract the shapes of individual cells from microscopic images and evaluate cell culture conditions and shape responsiveness to drugs. We are looking for someone who can refine and advance these tasks. In addition to these tasks, we are also looking for someone who can proactively propose new analysis methods using internal and external data and create new value that will lead to the practical application of drug discovery and regenerative medicine. Depending on aptitude, you may be ordered to transfer to tasks specified by the company.
Ideal Profile
Required Skills - Fundamental knowledge of machine learning and statistical models (linear models, loss functions, cross-validation, etc.) - At least one year of research and development experience using machine learning and statistical models (library development, data analysis, CI/CD, paper writing, conference presentations, etc.) - Familiarity with deep learning frameworks (PyTorch, Keras, TensorFlow, etc.) Preferred Skills - Familiarity with the latest deep learning architectures (Transformer, Diffusion model, VAE, etc.) - Knowledge and experience in natural language processing (LLM, Chat GPT, large-scale language models, time series models) - Team management experience - Interest and eagerness to learn in the life sciences field (medicine, pharmacy, biology, etc.) - Familiarity with XAI (Explainable AI) (SHAP, LIME, Anchors, etc.) - Experience and proven track record in competitions (Kaggle, SIGNATE, AtCoder, etc.)
Work Location
Either the Nihonbashi office or the Kobe Research Laboratory *Remote work may be combined; full remote work is possible depending on experience. Please note that you may be ordered to transfer to a company-designated office (including reassignment requiring relocation).
Phd. Stating Salary
Annual salary of 6-12 million yen or more *Determined based on experience, ability, age, etc. Salary increase once a year, overtime pay
Selection Flow
Apply Click the "Apply" button on each position page above, fill in the required information, and submit your application. ↓ Document Screening We will review your submitted documents. We will notify you of the results via email approximately one week after the initial screening. Successful applicants will be notified of an interview date. ↓ Interview During the interview, we will explain our company's business and the duties you will be responsible for. We will also ask candidates to give a presentation (self-introduction, reasons for applying, previous experience, and skills). There will be time for a Q&A, so please feel free to ask any questions you may have. We will notify you of the results via email approximately one week after the initial screening. *Multiple interviews will be conducted. *Interviews will be conducted online or in-person. *You may be asked to submit additional documents. ↓ Offer Offer Offer Offers will be sent to applicants who pass the final interview.