Job Description:
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 pattern. -Demonstrated 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 By unlocking the unique talents of a varied pool of individuals, we foster the kind of collaboration and innovation that yield truly great work. -We have clear, professional and respectful communication with everyone -We are all responsible for cutting-edge innovation -We are a TEAM -We balance critical thinking with execution -We care about employee’s professional and personal fulfillment
Additional Info:
WuXi NextCODE Genomics USA is the world's leading genome sequence analysis platform, built on a novel database architecture that can query, manage and store massive genomic data with unrivaled efficiency. It enables clinicians and researchers around the globe to use the full power of next-generation sequencing data to better diagnose and treat diseases. In January 2015, WuXi AppTec, a leading open-access R&D capability and technology platform company serving the pharmaceutical, biotechnology, and medical device industries with operations in China and the United States, acquired NextCODE Health and will merge it with WuXi's Genome Center. Together as WuXi NextCODE Genomics, the business offers integrated and comprehensive solutions for using the genome to deliver better medicine through its offices and operations in Cambridge, Shanghai, and Reykjavik, Iceland. 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 We are a entrepreneurial EEO employer committed to a diverse and dynamic workplace. [Click Here to Access the Original Job Post]
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 pattern. -Demonstrated 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 By unlocking the unique talents of a varied pool of individuals, we foster the kind of collaboration and innovation that yield truly great work. -We have clear, professional and respectful communication with everyone -We are all responsible for cutting-edge innovation -We are a TEAM -We balance critical thinking with execution -We care about employee’s professional and personal fulfillment
Requeriments :
Skills :
- Bioinformatics
- Biology
- Cell Biology
- Computational Biology
- Data Mining
- genomic
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Statistics
- Systems Biology
Areas :
Additional Info:
WuXi NextCODE Genomics USA is the world's leading genome sequence analysis platform, built on a novel database architecture that can query, manage and store massive genomic data with unrivaled efficiency. It enables clinicians and researchers around the globe to use the full power of next-generation sequencing data to better diagnose and treat diseases. In January 2015, WuXi AppTec, a leading open-access R&D capability and technology platform company serving the pharmaceutical, biotechnology, and medical device industries with operations in China and the United States, acquired NextCODE Health and will merge it with WuXi's Genome Center. Together as WuXi NextCODE Genomics, the business offers integrated and comprehensive solutions for using the genome to deliver better medicine through its offices and operations in Cambridge, Shanghai, and Reykjavik, Iceland. 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 We are a entrepreneurial EEO employer committed to a diverse and dynamic workplace. [Click Here to Access the Original Job Post]