Tóm lược
- Yêu cầu kỹ thuật:
- Java ,
- Python ,
- C ,
- C++ ,
- Algorithm ,
- Machine Learning ,
- Statistics ,
- Linux ,
- Big Data ,
- HA ,
- Deep Learning ,
- BA ,
- HTTPS
Mô tả công việc
Tóm tắt công việc
We are looking for Bioinformatics Scientists/Data Scientists to join our team to analyze data from bioinformatics projects. You will develop computational methods and perform statistical analyses to interpret large-scale sequencing data towards understanding the genetics of complex diseases and adverse drug reactions. You will also develop bioinformatics services for an open source platform that enables users to exploit data and computing resources easily
Responsibilities
- Analyze and interpret large-scale biomedical data generated by modern technologies.
- Develop, execute, test, and roll out project-specific bioinformatics solutions.
- Investigate, devise, and modify procedures to solve complex problems at a highly technical level across all phases of bioinformatics activities.
- Develop technical diagrams, project plans, timelines, and resource allocations.
- Lead or participate in writing technical reports/scientific papers.
- Contribute to the technical leadership of the Institution, including broader decisions on projects, infrastructure, technologies, platforms, and framework needs.
- Collaborate with other team members (including devs and devops) and stakeholders.
Yêu cầu công việc
Requirements
- BS/MS degree in Bioinformatics, Computer Science, Biological Sciences, or a related field.
- 2+ years of experience in bioinformatics/data science or a related field.
- Basic knowledge of statistics, algorithms.
- Experience with some programming languages such as Python, R, Java, C/C++.
- Familiarity with Linux-based systems.
- Basic knowledge of genetics/molecular biology, sequencing technologies.
- Good verbal and written communication skills in English
- Ability to work independently and as part of a team.
- Resourcefulness and troubleshooting aptitude.
- Ability to train others.
- Attention to detail.
Preferred Qualifications
- 5+ years of experience in bioinformatics or a related field.
- Experience in human genomics and genome analysis.
- Experience in algorithms, statistics and/or machine learning/deep learning.
- Experience with employing high performance computing to solve computing problems.
- PhD degree in Bioinformatics, Computer Science, Biological Sciences, or a related field.
Benefits
- Very competitive salary and benefits.
- Insurance and premium health care for employers and/or their families.
- Preferences when using the services of the Vingroup’s member companies.
- Training course and certificates support.
- Nice and professional working environment with nice and excellent colleagues.
- Values-driven, international working environment and agile culture.
Ngôn ngữ
-
English
Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate
Yêu cầu kỹ thuật
- Java
- Python
- C
- C++
- Algorithm
- Machine Learning
- Statistics
- Linux
- Big Data
- HA
- Deep Learning
- BA
- HTTPS
NĂNG LỰC
- Communication Skills
- Working Independently
- Teamwork
- Agile
- Analytic Skills
- Detail oriented
Thông tin doanh nghiệp
VinBigdata is in the direction of becoming a world-class Technology - Industry - Trade and Service Group.
VinBigdata's vision is to become a leading research center in science, technology and data in Vietnam, with an international level.
With the mission of "Vietnamese Technology - For the Future of Vietnam, VinBigdata focuses on promoting research and development activities around 3 main areas:
1) Promote fundamental research through 4 research areas: Computational Biomedical, Natural Language Processing, Computer Vision, Medical Image Processing, creating a premise for sustainable development of society.
2) Changing the way of scientific research and training thinking of the future scientific generation in Vietnam through the activities of the VinIF Innovation Fund;
3) Research new technologies with high applicability, increase user experience, improve quality of life and optimize production and business activities.