Bioinformatics Research Analyst - Genetics

SAINT LOUIS, MO 63110

40

The Dougherty lab ((Use the "Apply for this Job" box below).) 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.

• 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.

• 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.

• Typically sitting at desk or table.
• Repetitive wrist, hand or finger movement (PC Typing).

• 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.

Bachelor’s degree or combination of education and/or experience may substitute for minimum education.

No specific certification/professional license is required for this position.

Relevant Experience (2 Years)

Not Applicable

A driver's license is not required for this position.

• 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…