Research Associate 2-B/H
| Company | Ohio State University – Columbus |
|---|---|
| Location | Columbus, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior |
Requirements
- MS in Genetics, Molecular Biology or other related field with at least 5 years (MS) of relevant laboratory experience required
- Hands-on experience working with the preparation and sequencing of NGS libraries required
- Experience with basic bioinformatics tools and languages for NGS data analysis required
- Experience with RNA/DNA isolation, quantification, RT-PCR, and quality control (e.g. Bioanalyzer and/or Tapestation) required
Responsibilities
- Study the established GSR protocols and the instrument operation protocols/best practice
- Execute the workflows under the supervision of senior GSR team members when applicable
- Independently optimize, streamline and troubleshoot various NGS-based library preparation and protocols
- Help with data dissemination and basic bioinformatic analysis for users after sequencing data generation
- Perform critical analyses of NGS–related publications and new technology releases
- Accurately and thoroughly document project and sample information, protocols, experimental details and ensure proper storage of generated libraries
- Coordinate tasks across multiple projects and work around tight deadlines as required
- Assist with development, writing and preparation of grant proposals to obtain cutting-edge instruments for GSR
- Train new GSR staff members when applicable
- Facilitate procurement of new NGS-related equipment
- Provide technical assistance and supervision of NGS equipment
- Negotiate and oversee equipment service contracts and repairs
- Communicate and work with other GSR non-NGS team members in a professional manner
Preferred Qualifications
- A Doctoral degree in genomics or molecular biology with 1-3 years experience is desirable
- Demonstrated experience with single-cell RNA sequencing library (10X) or long read library (e.g. ONT/PACBIO) construction desired
- Knowledge about common NGS data analysis pipelines preferred
- Experience with graphing programs, –omics data tools such as Ingenuity Pathway Analysis, and genomics resources such as UCSC Genome Browser desired