Job ID:
Job date: 2018-04-01
End Date:
Company : Synthetic Genomics Country : Role : Research Scientist
Job date: 2018-04-01
End Date:
Company : Synthetic Genomics Country : Role : Research Scientist
Job Description:
We are currently seeking a Bioinformatics Senior Research Associate to join our fast-growing, dynamic and collaborative team in La Jolla, CA. The Bioinformatician will be part of the SGI-DNA with primary focus on tool development, improvement and maintenance to support the business of DNA synthesis. The successful candidate will be responsible for the development of machine-learning models for the analysis of DNA synthesis datasets, DNA synthesis design tools, and NGS data analysis pipelines. These analysis pipelines and applications will be based on existing tools and algorithms as well as newly developed solutions tailored to address specific business goals. This role requires strong programming skills, experience with NGS analysis tools, and expertise in classical machine-learning and deep-learning frameworks. Required Skills:
Additional Info:
At Synthetic Genomics, Inc., we are dedicated to developing and commercializing genomic-driven solutions to address global challenges. [Click Here to Access the Original Job Post]
We are currently seeking a Bioinformatics Senior Research Associate to join our fast-growing, dynamic and collaborative team in La Jolla, CA. The Bioinformatician will be part of the SGI-DNA with primary focus on tool development, improvement and maintenance to support the business of DNA synthesis. The successful candidate will be responsible for the development of machine-learning models for the analysis of DNA synthesis datasets, DNA synthesis design tools, and NGS data analysis pipelines. These analysis pipelines and applications will be based on existing tools and algorithms as well as newly developed solutions tailored to address specific business goals. This role requires strong programming skills, experience with NGS analysis tools, and expertise in classical machine-learning and deep-learning frameworks. Required Skills:
- Must be familiar with publicly available bioinformatics tools, algorithms, and websites.
- Strong programming skills in Python.
- Proven ability to train and evaluate classical machine learning models, such as linear and logistic regression, SVMs, Random Forests, and Gradient Boosting, as well as deep-learning models.
- Proficiency in working with databases and data management platforms (ex. SQL/NoSQL)
- Experienced working with command line tools in a Linux shell environment.
- Must demonstrate a solid scientific proficiency, creativity, ability to collaborate effectively with others, and independent thought processes.
- Must feel comfortable working in a small team with extensive interactions with scientists inside and outside the organization.
- Must be capable of working on problems of diverse scope in which analysis of data requires a detailed evaluation of possible factors.
- Must be a team player and a focused individual with a strong work ethic and great attention to detail.
- Must exhibit excellent communication skills and a broad knowledge of the company’s technologies. Able to distill and relay complex scientific concepts to a variety of members within the organization.
- Strong communication skills.
- MS in Bioinformatics, Computer Science, Statistics, Genomic Sciences, Molecular Biology, Genetics, Microbial Ecology or a related field.
- Experience in NGS data analysis, including algorithm development.
- Experience developing, training, and evaluating deep-learning models using public DL frameworks, such as TensorFlow, Keras, PyTorch, Theano, Caffe, or Neon.
- Strong experience developing and debugging tools in programming languages such as Python, R, C/C++, Java, Perl, or Matlab.
- Experience with general NGS data analysis tools such as SAMtools, pysam, Picard Tools, Bowtie, BWA, and CLC Genomics Workbench.
- Proven ability to independently manage several distinct projects at once.
- Ability to exercise judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results.
- Experience working with Docker containers and cloud-based compute environments.
- Preferably 1-3 years of experience in bioinformatics software development and research.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- NoSQL
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Software Design
- SQL
Areas :
Additional Info:
At Synthetic Genomics, Inc., we are dedicated to developing and commercializing genomic-driven solutions to address global challenges. [Click Here to Access the Original Job Post]