Bioinformatics Research Analyst - Genetics

Washington University in St. Louis; United States; On-site; USD 42,000 - 76,000; Full time

Benefits offered by this job

Health insurance

Transit pass

Retirement plan

Caregiver leave

Job summary

Washington University in St. Louis invites applications for a research-focused data analyst in the Dougherty lab.

The role leads analysis and interpretation of bulk and single-cell RNA-seq and MPRA data, mentoring teammates in genomics analysis and computational statistics, and collaborating across teams to push discovery in psychiatric genetics. You will develop and apply computational methods, teach lab members, and contribute to reporting methods and results in a dynamic wet/dry lab

Qualifications

• Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• 2 years of relevant work experience required.
• No specific certification or license required.

Responsibilities

• Implements algorithms and software for analyzing omics datasets.
• Visualizes results from diverse experiments.
• Manages data storage, investigation and sharing of large datasets.

Skills

Analytical Thinking

Bioinformatics Tools

Computational Biology

Communication

Group Problem Solving

Critical Reasoning

Data Visualization

Machine Learning Basics

Education

Bachelor's degree

Master's degree - Bioinformatics

Tools

R

Python

Nextflow/Snakemake

Linux/UNIX

Git/GitHub

Docker/Singularity

SLURM/LSF HPC

Seurat/scanpy

Job description

Location SAINT LOUIS, MO 63110 Scheduled Hours 40

Position Summary

The Dougherty lab (http://genetics.wustl.edu/jdlab/) is a mixed wet-lab dry lab environment studying gene expression in the brain in the context of psychiatric genetics. We are generating extensive transcriptomic (bulk RNA-seq, single cell RNA-seq, MPRA RNA-seq) datasets and need a creative, motivated and intelligent researcher to take the lead in the analysis and interpretation of this data. We have an extremely strong record in gene expression profiling analysis and can offer mentoring in the analysis of genomics experiments and the use of computational statistics. Provides critically complex dry-lab research and experimentation for the team, allowing the advancement of scientific analysis and discovery. The role will further serve as a subject matter expert offering support, training and guidance relative to the discipline/area. They may also participate and/or present on the research developed, or the established work of those within the department, especially to team meetings.

Primary Duties & Responsibilities

• Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical].
• Visualizes results from a wide range of different experiments
• Data management and analysis solutions that aid in the storage, investigation and dissemination of large data sets.
• Coordinates research project with other investigators and institutions.
• Participates in developing hypotheses and experimental design.
• Creates software to assist in data collection, and teaches basic or novel elements of computer science to others in the lab
• Provides guidance and troubleshooting support for the use of software.
• Assists with reporting of methods, data and results.

Working Conditions

Job Location/Working Conditions Works in a laboratory environment with potential exposure to biological and chemical hazards Must be physically able to wear protective equipment and to provide standard care to research animals Normal office environment.

Physical Effort Typicaly sitting at desk or table. Repetitive wrist, hand or finger movement (PC Typing). Equipment Office 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 Qualifications

Education: 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 Applicable Driver's License: A driver's license is not required for this position.

Preferred Qualifications

Education: Bachelor’s or Master’s degree in bioinformatics, genetics, statistics, data science, computer science or a related field. Enjoy contributing as a team member in a fast-paced interactive environment, as well as working on self-directed research within the broader goals of the group. Excellent computational skills. The ideal applicant will be well-versed in R and/or Python, with experience in a compiled language (e.g., C) as a plus. Demonstrate effective oral and written communication and proven ability to work in a collaborative environment. Background in the application of statistical methods in the biological and medical sciences is advantageous. Experience with automated analysis pipeline frameworks such as nextflow or snakemake. Experience navigating in a Linux/UNIX environment, and job scheduling (SLURM, LSF) with high-performance computing (HPC) clusters Experience teaching or mentoring in computer science or bioinformatics Experience with containerization software such as singularity, apptainer, docker, and conda Experience using version control (e.g., git and GitHub) Experience with large datasets and data transfers (e.g., Globus, sftp) Familiarity with popular RNA-seq analysis packages (e.g., DESeq2, EdgeR, limma) and single cell RNA-seq packages (e.g., Seurat, scanpy) Familiarity with basics and application of machine learning (e.g., linear regression, PCA) Some experience in data generation or wet-lab background is a plus. Good understanding of computational biology. Ability to analyze and interpret large complex data sets, such as genome sequencing, RNA-seq gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner. Expertise in standard bioinformatics tools. Ability to balance multiple projects. Preferred Qualifications Education: Master’s degree - Bioinformatics Certifications/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, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Model Organism Grade R09 Salary Range $41,700.00 - $75,600.00 / 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.

Questions

Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

Accommodation If 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 Screening

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

• Personal Up 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%.
• Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!
• Family We 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.

EEO Statement

Washington 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 or shared ancestry, 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. As a federal contractor, the university maintains affirmative action programs to implement its equal employment opportunity policy for individuals with disabilities and protected veterans, in accordance with Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974 (VEVRAA), as amended.

Washington University in St. Louis' collective success is significantly attributed to the passion and outstanding efforts of our community. Our staff, faculty and trainees are committed to excellence and dedicated to carrying out our missions of research, teaching and patient care. WashU prides itself on being a place where people matter, and serious work is done. Our people work together in an inclusive community that celebrates diverse perspectives, collaboration and innovation. We are a community of individuals inspired to work together to develop big ideas and tackle challenging problems. We value the well-being of our people. WashU strives to create a positive employee experience where staff, faculty and trainees thrive, both personally and professionally. Our employees find meaning, connection and vitality in their work and life with a healthy work-life balance and support to learn, grow and make an impact at WashU, the community and the world.