Post Doctoral Associate at UPMC

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Methodologies, Multi-Omics Datasets, Biomarkers, Statistical Models, Python, R, Linux, High-Performance Computing, Communication Skills, Interpersonal Skills, Independent Work, Team Collaboration, Graduate Research Advising, Data Analysis, Next-Generation Sequencing, Statistical Learning Techniques

Industry

Hospitals and Health Care

Description

The University of Pittsburgh, Ophthalmology Department, Dr Hysi Lab is searching for a talented and highly motivated postdoc to join a big data project seeking to leverage next-generation sequencing information and cutting edge statistical learning techniques to characterize mechanisms leading to age-related eye disease. Responsibilities: 1. Implement, adapt, or design computational methodologies that allow joint analyses of large multi-omics datasets. 2. Lead work on the identification of modifiable biomarkers and assess their potential clinical utility. 3. Effectively communicate findings through publications to scientific and peer-reviewed journals, conference presentations, and explain the relevance of work to lay audiences, patient groups, and relevant stakeholders. 4. Collaboratively contribute and mutually support other members of the research team. 5. Help advise and direct graduate research students and share knowledge with colleagues within the group and department. 6. Uphold the highest values and academic standards. The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post Qualifications: 1. PhD in computational biology, bioinformatics, epi/genomics, genetic epidemiology, statistics or similar areas. 2. Demonstrable prior experience in the analyses of omics (genomics, epigenomics, metabolomics), particularly high-throughput sequencing, bulk, single-cell, and single-nucleus DNA and RNA sequencing. 3. Robust knowledge of linear and non-linear statistical models. 4. Proficiency in any of the following: Python, R, or programming languages. 5. Solid knowledge of Linux and high-performance computing. 6. Effective communication and interpersonal skills. 7. Exceptional ability to work both independently and in teams. The successful candidate will benefit from training and personal development. In addition to opportunities made available through the University and the Department of Ophthalmology to all staff, the PhD post-holder will benefit from an extensive national and international network of collaboration and opportunities to share their research at international meetings and conferences, including the Association for Research in Vision and Ophthalmology, American Society for Human Genetics, and others.

Responsibilities

The postdoc will implement and design computational methodologies for analyzing large multi-omics datasets and lead efforts to identify modifiable biomarkers. They will also communicate findings through publications and presentations while supporting the research team and advising graduate students.