от компании (организации): Statsenko Yauhen в городе (населённом пункте): Москва, Россия
в отрасли экономики "Информационные технологии, интернет, телеком" → "Web инженер"
с заработной платой: по договоренности
Вакансия № 26033028 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Среда, 6 ноября 2024 года.
Дата обновления вакансии № 26033028 на сайте Работа в Москве и Московской области (МО, Подмосковье): Четверг, 14 ноября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 26033028 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
1–3 года
Тип занятости:
полная занятость
График работы:
полный день
Дополнительные сведения о вакансии: Data Scientist, Postdoctoral Research Assistant in Biomedical Statistics and Data Analysis
Please, respond to the position by sending your detailed CV written in English.
The successful applicant will work with Dr. Yauhen Statsenko to develop and analyze prognostic or diagnostics models of different diseases and to automatize the assessment of medical images. The aim of the study is two-fold: the academic research and the implementation of computer-aided decision systems into routine medical practice.
Areas of special interest include clinical decision support, clinical informatics, precision medicine and public health. The study is conducted under the umbrella of the Abu Dhabi Research Institute of Precision Medicine, which is a project for multidisciplinary collaborative studies on neuroscience, human genetics, epigenetics, medical imaging and informatics. The Institute is one of the most mature informatics programs in the UAE offering postdoctoral training, Ph.D. and Master of Science degrees, and a graduate certificate program.
Energetic, self-directed individuals with a promising early record of achievement in research, data analysis, statistical studies, programming in R, python and bash scripting are encouraged to apply. The preferred qualification is the Master’s / Ph.D. degree in computer science, data science, applied mathematics and statistics.
Conditions:
- THE FULL-TIME POSITION REQUIRES RELOCATION TO THE UNITED ARAB EMIRATES!
- Part-time affiliation or remote work opportunities are NOT AVAILABLE at this moment!
- The official place of affiliation will be the College of Medicine and Health Science in the United Arab Emirates University: https://www.uaeu.ac.ae/en/cmhs/
- The final salary is negotiated based on the candidate's skills at the time of interview
- The employer provides a visa and full health insurance to the employee
- The relocation to Al Ain city is required. It is the 4th largest city in the United Arab Emirates with a population of around 1 mln people. It takes 1.5 hours to come from Dubai or Abu Dhabi to Al Ain.
- The relocation and accommodation are not covered by the employer.
- The average price for renting a suitable apartment is around 40000 руб / month
Minimal Qualification: - Knowledge of working with Big Data platforms and developing data mining models and analytics solutions
- Programming experience particularly in Python and R
- Experience in developing advanced machine learning models (e.g. deep learning, NLP, Computer Vision)
- Proven experience in related technology such as cloud computing, distributed systems, Hadoop, Spark, MapReduce, visualization tools (e.g. Power BI), etc.
- Experience with data visualization and reporting (e.g. Power BI)
Tasks and responsibilities:
- Formulating statistical hypotheses
- Searching for relevant literature
- Describing results of biological and medical findings
- Preprocessing of medical images (de-identifying the images, data preparation and denoising of the diagnostics images, 2D and 3D data scaling and normalization, the development of image data loaders in PyTorch or its analogs, the preprocessing of numerical and textual data in the images, replacing/removing missing values; testing the data for outliers, finding duplicated or highly correlated features; applying masks of the studied organ to the diagnostic images)
- Running classification, detection, and segmentation tasks (with 3dSlicer, CAT12, etc.).
- Preparing analytics over the preprocessed dataset (checking whether the dataset is versatile enough for different ML approaches; finding correlations between different features; running feature selection algorithms to find the most informative data sources (numerical vs. images).
- Building regression and classification models and estimating their performance metrics (preparing a data visualization module for the qualitative and quantitative quality validation, training a deep convolutional neural net to get predictions based on 2d and 3D data, training models with spatial attention (standard and self-attention) to focus on the most valuable parts of 2d and 3d data, trying classical non-neural approaches - e.g. gradient boosting - to get predictions based on the whole dataset, adding functions for calculating ROC-AUC, error rate, precision, recall, sensitivity, specificity).
- Applying deep learning-based architectures to analyze visual data in different variants (convolutional NN for classification tasks, single stage or multistage DLL detection systems, generative adversarial networks for super-resolution and reconstruction, recurrent neural networks for automatic report generation).
Please, respond to the position by sending your detailed CV written in English.
Откликнуться на эту вакансию: Data Scientist, Postdoctoral Research Assistant in Biomedical Statistics and Data Analysis
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