Bioinformatics Research Analyst - Pediatrics Newborn Medicine

Washington University in St. Louis; St. Louis (MO); On-site; USD 2,948,000 - 5,010,000; Full time

Benefits offered by this job

Vacation & holidays

Health insurance

Transit benefit

Tuition assistance

Job summary

Washington University in St. Louis seeks a Bioinformatics Research Analyst to join a collaborative team unraveling the genomic basis of rare diseases.

The role focuses on large genomic datasets from whole genome and exome sequencing, RNA sequencing, and epigenomics, and supports design, implementation, and execution of computational workflows to enable variant discovery. The successful candidate will manage data on an HPC cluster, perform variant analysis and prioritization, and communicate

Qualifications

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• 2+ years of relevant experience in bioinformatics.
• Experience with whole genome/exome sequencing, RNA-Seq, and genomic data analysis.

Responsibilities

• Implements, manages, and runs computational bioinformatics pipelines on a local HPC cluster.
• Maintain and manage large datasets, including data storage and transfer of genomic data.
• Develop and refine computational workflows to improve efficiency and accuracy of genomic data processing.
• Conduct variant analysis and curation to identify genomic variants in rare diseases.
• Collaborate with a multidisciplinary team to interpret results in the context of rare disease research.
• Assist in preparing project reports, presentations, and manuscripts.

Skills

Analytical Thinking

Bioinformatics Tools

Communication

Complex Data Analysis

Computational Biology

Critical Reasoning

Exome Sequencing

Gene Expression Microarray

Genome Sequencing

Genomic Data Analysis

Group Problem Solving

Human Genetics

Model Organism

Nextflow

RNA-Seq

Workflow Management Systems

Education

Bachelor’s degree

Master’s degree in Bioinformatics

Tools

Nextflow

High-Performance Computing

Job description

LocationST. LOUIS, MO 63108Scheduled Hours40Position SummaryThis Bioinformatics Research Analyst is a dry-lab position and will play a key role in a collaborative team dedicated to uncovering the genomic basis of rare diseases as part of the Washington University Undiagnosed Diseases Network and other WashU local rare disease projects. This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data. This technician will support the design, implementation, and execution of bioinformatics workflows and pipelines to facilitate variant discovery, perform variant analysis/prioritization based on biological relevance, manage storage and transfer of large datasets, and assist in evaluating new computational methods and tools.Job DescriptionPrimary Duties & Responsibilities:Implements, manages, and runs computational bioinformatics pipelines on a local high-performance computing cluster to analyze genomic datasets.Maintain and manage large datasets, including data storage and data transfer of genomic data.Contribute to developing and refining computational workflows to improve the efficiency and accuracy of genomic data processing and analysis.Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease.Work closely with a multidisciplinary team to communicate findings and interpret results within the context of rare disease research.Assist in preparing project reports, presentations, and manuscripts as needed.Performs other duties as assigned.Working Conditions:Job Location/Working ConditionsNormal office environment.Physical EffortTypically sitting at desk or table.Repetitive wrist, hand or finger movement (PC Typing).EquipmentOffice equipment.The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.Required QualificationsEducation:Bachelor’s degree or combination of education and/or experience may substitute for minimum education.Certifications /Professional Licenses :No specific certification/professional license is required for this position.Work Experience:Relevant Experience (2 Years)Skills:Not ApplicableDriver's License:A driver's license is not required for this position.More About This JobPreferred QualificationsEducation:Master's degree, Master's degree - BioinformaticsCertifications /Professional Licenses :No additional certification/professional licenses unless stated elsewhere in the job posting.Work Experience:No additional work experience unless stated elsewhere in the job posting.Skills:Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Critical Reasoning, Exome Sequencing, Gene Expression Microarray, Genome Sequencing, Genomic Data Analysis, Group Problem Solving, Human Genetics, Model Organism, Nextflow, RNA-Seq, Workflow Management SystemsGradeR09-HSalary Range$21.40 - $36.37 / HourlyThe 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.QuestionsFor frequently asked questions about the application process, please refer to our External Applicant FAQ .AccommodationIf you are unable to use our online application system and would like an accommodation, please email [e-mail] or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.Pre-Employment ScreeningAll 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 StatementPersonalUp to 22 days of vacation, 10 recognized holidays, and sick time.Competitive health insurance packages with priority appointments and lower copays/coinsurance.Take advantage of our free Metro transit U-Pass for eligible employees.WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.WellnessWellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!FamilyWe offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/EEO StatementWashington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.