Job Description:
We are a growing global genome informatics and diagnostics company offering the world’s most proven technology for next generation sequence-based genetic testing and analysis Our ideal candidate is the type of person who constantly wants to push the boundary of what is impossible. We are working in a field and creating a technology with functionalities that have never existed before. EDUCATION, COMPETENCIES AND SKILLS: -PhD in computational biology, bioinformatics or equivalent. -A minimum of 4 years relevant experience is required. Academic Research and Post Doc experience that demonstrated both technical and collaborative skills will be considered. -Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected). -Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab. -Strong understanding of data structures, algorithms, and design patternDemonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large and diverse, biological and toxicological datasets. -Demonstrated ability to independently develop and implement computational workflows starting from raw data through analysis, hypothesis generation and visualization. -Demonstrated experience in leveraging in silico methodologies to drive drug discovery projects. -Familiarity with proteomic and genomic data analysis and systems biology software. -Demonstrated experience and ability to work effectively in a matrix, global environment as part of a multidisciplinary team. -Skilled in clearly communicating complex computational approaches and methodology to non-computational scientists. -Strong, written, oral communication and influencing skills are essential. -Ideal candidate will be a software engineer or computational biologist that can think from the point of view of a biologist while understanding computer science / software engineering at a deep level; very close interaction with molecular / cell biologists will be expected at every level from tool / algorithm design, curation / quality control, analysis, and code testing to ultimately delivering algorithms and tools (Bioinformatics Software Engineer) or insights and recommendations (Computational Biologist) to other researchers and decision makers. -Wide understanding of both biology and computational biology. -Experience working in fast paced team environments (industry and start-up experience is a plus). -Ability to understand and make decisions and recommendations about high level strategy as well as about the details of an analysis project or experiment. -Extensive experience in bioinformatics, software engineering / testing / validation, data curation, large scale data and NGS analysis, statistics, or statistical model building, as evidenced by productive and successful programs and/or publications. -Experience with Git, R Markdown / LaTeX. -Cloud compute experience (AWS). -Strong leadership and management skills, excellent verbal and written communication. -Familiarity with cell and molecular biology techniques, NGS, gene editing and/or CRISPR/Cas9 biology. -A high degree of energy, accuracy and attention to detail, and a passion for creating transformative gene-based medicines to patients with serious diseases.
Additional Info:
[Click Here to Access the Original Job Post]
We are a growing global genome informatics and diagnostics company offering the world’s most proven technology for next generation sequence-based genetic testing and analysis Our ideal candidate is the type of person who constantly wants to push the boundary of what is impossible. We are working in a field and creating a technology with functionalities that have never existed before. EDUCATION, COMPETENCIES AND SKILLS: -PhD in computational biology, bioinformatics or equivalent. -A minimum of 4 years relevant experience is required. Academic Research and Post Doc experience that demonstrated both technical and collaborative skills will be considered. -Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected). -Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab. -Strong understanding of data structures, algorithms, and design patternDemonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large and diverse, biological and toxicological datasets. -Demonstrated ability to independently develop and implement computational workflows starting from raw data through analysis, hypothesis generation and visualization. -Demonstrated experience in leveraging in silico methodologies to drive drug discovery projects. -Familiarity with proteomic and genomic data analysis and systems biology software. -Demonstrated experience and ability to work effectively in a matrix, global environment as part of a multidisciplinary team. -Skilled in clearly communicating complex computational approaches and methodology to non-computational scientists. -Strong, written, oral communication and influencing skills are essential. -Ideal candidate will be a software engineer or computational biologist that can think from the point of view of a biologist while understanding computer science / software engineering at a deep level; very close interaction with molecular / cell biologists will be expected at every level from tool / algorithm design, curation / quality control, analysis, and code testing to ultimately delivering algorithms and tools (Bioinformatics Software Engineer) or insights and recommendations (Computational Biologist) to other researchers and decision makers. -Wide understanding of both biology and computational biology. -Experience working in fast paced team environments (industry and start-up experience is a plus). -Ability to understand and make decisions and recommendations about high level strategy as well as about the details of an analysis project or experiment. -Extensive experience in bioinformatics, software engineering / testing / validation, data curation, large scale data and NGS analysis, statistics, or statistical model building, as evidenced by productive and successful programs and/or publications. -Experience with Git, R Markdown / LaTeX. -Cloud compute experience (AWS). -Strong leadership and management skills, excellent verbal and written communication. -Familiarity with cell and molecular biology techniques, NGS, gene editing and/or CRISPR/Cas9 biology. -A high degree of energy, accuracy and attention to detail, and a passion for creating transformative gene-based medicines to patients with serious diseases.
Requeriments :
Skills :
- Biology
- Computational Biology
- genomic
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Software Design
- Statistics
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]