Job Description:
Role and Responsibilities: The bioinformatics scientist will work as a member of Diversigen’s growing Data Analytics team and contribute to microbiome-focused NGS analysis efforts. The Bioinformatics scientist will integrate existing Python and R scripts into automated workflows, develop custom solutions to sequence analysis and data visualization, and contribute to the evaluation and testing of new software packages and algorithms. Requirements: Masters (minimum, PhD preferred) in Bioinformatics/Computer Science/Statistics/Life Sciences or a related field. Demonstrated experience in NGS analysis and bioinformatics software development. Experience with pipeline development and maintenance; Familiarity with publicly-available tools, algorithms, and databases related to microbiome analysis. Comfortable using command line tools in a Linux shell environment; preferred experience working in cloud-based compute environments. An ability and willingness to perform Sys Admin duties is highly desired.Traits of successful applicants: Successful applicants will be self-driven and detail-oriented, with strong written and oral communication skills. Successful applicants will be (or become) familiar with the background knowledge and technologies required to address project needs and goals. Successful applicants will also have the demonstrated ability to work independently on multiple distinct projects at one time and must be comfortable working in a fast-paced, results-driven environment and as a part of a small team. Job Type: Full-time Salary: $80,000.00 to $85,000.00 /year Required education: Master's
Additional Info:
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.[Click Here to Access the Original Job Post]
Role and Responsibilities: The bioinformatics scientist will work as a member of Diversigen’s growing Data Analytics team and contribute to microbiome-focused NGS analysis efforts. The Bioinformatics scientist will integrate existing Python and R scripts into automated workflows, develop custom solutions to sequence analysis and data visualization, and contribute to the evaluation and testing of new software packages and algorithms. Requirements: Masters (minimum, PhD preferred) in Bioinformatics/Computer Science/Statistics/Life Sciences or a related field. Demonstrated experience in NGS analysis and bioinformatics software development. Experience with pipeline development and maintenance; Familiarity with publicly-available tools, algorithms, and databases related to microbiome analysis. Comfortable using command line tools in a Linux shell environment; preferred experience working in cloud-based compute environments. An ability and willingness to perform Sys Admin duties is highly desired.Traits of successful applicants: Successful applicants will be self-driven and detail-oriented, with strong written and oral communication skills. Successful applicants will be (or become) familiar with the background knowledge and technologies required to address project needs and goals. Successful applicants will also have the demonstrated ability to work independently on multiple distinct projects at one time and must be comfortable working in a fast-paced, results-driven environment and as a part of a small team. Job Type: Full-time Salary: $80,000.00 to $85,000.00 /year Required education: Master's
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
Areas :
Additional Info:
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.[Click Here to Access the Original Job Post]