Bioinformatics Scientist - Engineering

Position Summary
We are seeking a talented, self-motivated Bioinformatics Scientist with a background in developing data processing pipelines and omics data analysis. This individual will apply computational techniques in analyzing large-scale genomics/epigenomic data, create data-driven models and data visualizations, write and prepare manuscripts and other materials for internal and external audiences, and assist in grant applications.

Job Description

Primary Duties and Responsibilities

Designs, Develops, Implements:

• Algorithms and computer software for omics-based data sets.
• Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.

Reads academic papers to identify and explain best available methods for bioinformatics and genomics analyses. Evaluates software for same.

Assists with grant preparation and reporting of methods, data, and results.

Designs, maintains, and improves databases for tracking experiments and visualizing and results.

Develops high quality software for data quality control.

Perform other duties as assigned.

Preferred Qualifications

• Master’s degree in computer science or a closely related field and three years of experience in bioinformatics, which can overlap with the time spent on the master’s.
• Experience analyzing RNA-Seq data.
• Experience designing databases for large, high-throughput data generation projects.
• Excellent oral and written communication skills.
• Excellent software development, documentation, and dissemination skills.
• Ability to read, analyze, and explain academic research papers.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or combined education and experience of nine years.

Grade
R11

Salary Range
$51,400.00 - $93,400.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

Applicant Instructions
When you are ready to apply, creating an account only takes a minute. Your account creates a candidate home page which we will use to communicate with you and allows you to apply for jobs and view your application statuses. The first page of the application offers two “Quick Apply” options. Quick Apply allows you to either use a previous application or create a new application using a resume to populate the work experience and education sections of your job application. If using a resume to populate your application, check to ensure the application fields populated accurately. You may skip the “Quick Apply” page by clicking “Next” at the bottom of the page. Documents may be uploaded in the My Experience section of the application. You also have the option to apply with a Linkedin feature, which allows you to apply by using your Linkedin profile to populate some of the job application fields.

Scheduled Hours
40

Position Summary
We are seeking a talented, self-motivated Bioinformatics Scientist with a background in developing data processing pipelines and omics data analysis. This individual will apply computational techniques in analyzing large-scale genomics/epigenomic data, create data-driven models and data visualizations, write and prepare manuscripts and other materials for internal and external audiences, and assist in grant applications.

Job Description

Primary Duties and Responsibilities

Designs, Develops, Implements:

• Algorithms and computer software for omics-based data sets.
• Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.

Reads academic papers to identify and explain best available methods for bioinformatics and genomics analyses. Evaluates software for same.

Assists with grant preparation and reporting of methods, data, and results.

Designs, maintains, and improves databases for tracking experiments and visualizing and results.

Develops high quality software for data quality control.

Perform other duties as assigned.

Preferred Qualifications

• Master’s degree in computer science or a closely related field and three years of experience in bioinformatics, which can overlap with the time spent on the master’s.
• Experience analyzing RNA-Seq data.
• Experience designing databases for large, high-throughput data generation projects.
• Excellent oral and written communication skills.
• Excellent software development, documentation, and dissemination skills.
• Ability to read, analyze, and explain academic research papers.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or combined education and experience of nine years.

Grade
R11

Salary Range
$51,400.00 - $93,400.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

Applicant Instructions
When you are ready to apply, creating an account only takes a minute. Your account creates a candidate home page which we will use to communicate with you and allows you to apply for jobs and view your application statuses. The first page of the application offers two “Quick Apply” options. Quick Apply allows you to either use a previous application or create a new application using a resume to populate the work experience and education sections of your job application. If using a resume to populate your application, check to ensure the application fields populated accurately. You may skip the “Quick Apply” page by clicking “Next” at the bottom of the page. Documents may be uploaded in the My Experience section of the application. You also have the option to apply with a Linkedin feature, which allows you to apply by using your Linkedin profile to populate some of the job application fields.