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 of developing new drugs is increasing year by year, the development of AI technologies such as machine learning and deep learning, and the improvement of computer data processing speed are expected to play a major role in solving this problem, and are actually bringing about decisive changes such as shortening the drug discovery process and significantly improving the development probability. Our company has a unique approach of "manipulating cells with big data extracted from cells to create new drugs" and is acquiring cellular big data. We are looking for researchers who are motivated by a wide range of research and development from basic to applied, and can promote the development of machine learning and data analysis technologies for new drug discovery and the practical application of regenerative medicine. We can analyze and apply large-scale, high-precision cellular big data, which is possible only because we are developing cutting-edge experimental and analytical technologies. Specifically, we develop a wide variety of machine learning algorithms such as the following in our own research and collaborative research. ・Analyze the types and ratios of cells contained in cell samples at the single-cell level using (semi-)supervised learning to identify cells and genes related to disease mechanisms and drug discovery targets ・Use causal inference algorithms to estimate gene regulatory networks and understand the principles of cell activity and the causes of disease ・Use Bayesian optimization to create experimental plans to optimize cell culture conditions and manufacturing processes for regenerative medicine products ・Use segmentation to extract the shapes of individual cells from microscopic images and evaluate the cell culture status and shape responsiveness to drugs We are looking for someone who can brush up on these tasks and promote them. In addition to these tasks, we are also looking for someone who can proactively propose new analysis methods using data from inside and outside the company and create new value that leads 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 - Basic knowledge of machine learning and statistical models (linear models, loss functions, cross-validation, etc.) - More than one year of research and development experience using machine learning and statistical models (library development, data analysis, CI/CD, writing papers, conference presentations, etc.) - Familiarity with deep learning frameworks (PyTorch/Keras/TensorFlow, etc.) Welcome skills - Familiarity with the latest deep learning architectures (Transformer/Diffusion model/VAE, etc.) - Knowledge and experience of natural language processing (LLM/Chat GPT/large-scale language model/time series model) - 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 track record in competitions (Kaggle/SIGNATE/AtCoder, etc.)
Work Location
Either the Nihonbashi office or the Kobe research lab *Remote work may also be used, and full remote work may be possible depending on experience In addition, you may be ordered to transfer to a business location designated by the company (including reassignment involving 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 allowance
Selection Flow
Application Click the "Apply" button on each position page above, enter the required information, and apply. ↓ Document screening We will review the documents you submit. Regardless of whether you pass or fail, we will notify you of the results by email in about a week. Those who pass the selection process will be notified of the interview date. ↓ Interview During the interview, we will explain our company's business and the job description you will be responsible for. We also ask candidates to give a presentation (self-introduction, motivation for applying, past experience and your own skills). There will be time for questions and answers, so please ask any questions you may have. Regardless of whether you pass or fail, we will notify you of the results by email in about a week. * Interviews will be conducted multiple times * Conducted online or in person * You may be asked to submit additional documents, etc. ↓ Offer of employment We will send an offer of employment to those who pass the final interview.