Research Scientist Post at the University of Virginia – Postdoc Biology Candidates Apply

Application Now Open for Research Scientist Position at the University of Virginia’s Center for Public Health Genomics – APPLY BELOW!

Role : Research Scientist, Center for Public Health Genomics

Locations : Charlottesville, VA

Time type : Full time

Job requisition id : R0052167

Job Description :

• The Center for Public Health Genomics at the University of Virginia is seeking a Research Scientist to perform statistical analysis of high-throughput molecular ‘omics data sets for collaborative projects at the cutting edge of human genetics, genomics, and high-throughput molecular ‘omics research
• The successful candidate will join a collegial and productive research team focused on the statistical analysis of human genetic studies, analysis of high-throughput molecular ‘omics data, and integration of genomic and molecular ‘omics data to identify disease-related molecular targets.
• Analytical responsibilities will include analysis of bulk and single-cell transcriptomic data sets, genetic association analysis of common and rare disease variants and integrative systems genetics analysis of multi-omics data.
• Collaborative efforts will include an emphasis on post-GWAS studies including whole genome sequence analysis, targeted analysis of candidate genes, and integrative analysis of genomic and transcriptomic data in studies of cardiovascular disease, atherosclerosis, diabetes and pulmonary diseases.

Skills Required for the Research Scientist Post :

• The Research Scientist position requires a doctoral degree in Biostatistics, Computational Biology, Genetics, Epidemiology, or a related field.
• Knowledge of statistics and genetics; experience with statistical software (R or Python).
• A strong work ethic.
• The ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills.

Desired qualifications :

• Experience working with large-scale multi-center studies.
• Working knowledge of existing tools for genetic analysis and data management.
• Shell scripting and experience working in a Unix / Linux environment.
• Research Scientists are expected to perform assigned tasks independently.
• In addition to a firm background in the particular field, Research Scientists should demonstrate the ability to lead small groups and work without additional supervision once objectives are defined and methods of approach are set.

This position will remain open till filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.

How To Apply for the Research Scientist Post :

1. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs’.
2. Please apply through Workday, and search for R0052167.
3. Complete an application online with the following documents:

• CV
• Cover letter
• Contact information for 3 references

4. Upload all materials into the resume submission field, multiple documents can be submitted into this one field.  Alternatively, merge all documents into one PDF for submission.

5. Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Yelena Markazyan Academic Recruiter , at [email protected]

Minimum Requirements :

• Education: Ph.D. or terminal degree. ABD may be accepted.
• Experience: None
• Licensure: None

Physical Demands : This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

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Here are some potential interview questions and sample answers for the Research Scientist Post

1. Can you briefly describe your experience in statistical analysis of high-throughput molecular ‘omics data sets and its relevance to this position?

Sample Answer: In my previous role as a Research Scientist at [Previous Institution/Company], I worked extensively on the statistical analysis of high-throughput molecular ‘omics data sets. I have experience in analyzing bulk and single-cell transcriptomic data, conducting genetic association analysis for common and rare disease variants, and integrating multi-omics data to identify disease-related molecular targets. This experience has equipped me with the skills necessary for this position’s analytical responsibilities.

2. What statistical software are you proficient in, and can you provide an example of a complex analysis you’ve conducted using R or Python?

Sample Answer: I am proficient in both R and Python for statistical analysis. In a recent project, I used R to perform a genome-wide association study (GWAS) to identify genetic variants associated with a specific cardiovascular disease. I conducted data preprocessing, quality control, and applied various statistical tests to pinpoint significant associations. This project resulted in the discovery of novel genetic markers linked to the disease.

3. How do you manage and prioritize your work when faced with multiple collaborative projects and tight deadlines?

Sample Answer: Effective time management and prioritization are essential in research. I typically start by assessing the urgency and importance of each task or project. I then create a detailed project plan that includes milestones and deadlines. Regular communication with collaborators helps me stay on track and adjust priorities if necessary. Additionally, I am open to delegating tasks when appropriate to ensure that all projects progress smoothly and meet their deadlines.

4. Can you share an example of a challenging problem you encountered during your previous research and how you approached solving it?

Sample Answer: In a previous research project, we were dealing with a large and complex multi-omics dataset with significant missing data. To address this challenge, I first conducted thorough data quality assessments to identify missing data patterns. I then applied advanced imputation techniques to fill in the gaps while considering the nature of the data. This allowed us to maintain the integrity of the dataset and proceed with our analysis. It also reinforced the importance of data preprocessing and quality control in research.

5. How do you stay updated with the latest developments in the field of genomics and high-throughput molecular ‘omics research?

Sample Answer: Staying current in this rapidly evolving field is crucial. I regularly attend conferences, seminars, and workshops related to genomics and ‘omics research. I also subscribe to relevant scientific journals and follow reputable research organizations and experts on social media platforms. Engaging with the scientific community through discussions and collaborations helps me stay informed about the latest advancements, which I can then apply to my work.

ALL THE BEST !