Personal Genomics- Group 2

The Computational Genomics Laboratory, a leading group in genomic research and computational biology, is pleased to announce an open call for internship positions focused on personal genomics. This project aims to leverage the power of computational methods and genomic data to develop innovative algorithms that will contribute significantly to personalized medicine and health.

Project Description:
The successful candidates will join our dynamic team to work on a cutting-edge project aimed at developing algorithms capable of analyzing individuals' genetic variants. These algorithms will be used to calculate risk scores for various diseases, potentially revolutionizing the way we approach diagnostics and prevention in the medical field.
In addition to disease risk assessment, this project will explore the intersection of genomics and lifestyle choices. Interns will work on creating models that suggest lifestyle adjustments based on genetic predispositions. These suggestions may include dietary recommendations, exercise routines, and other lifestyle changes aimed at enhancing individual health and well-being based on their unique genetic makeup.

Responsibilities:

• Search, read and analyze scientific papers.
• Develop and refine algorithms for analyzing genetic variants and calculating disease risk scores.
• Participate in the design and implementation of studies to validate the algorithms with real-world data.
• Contribute to the development of tools or platforms that provide personalized lifestyle recommendations based on genetic information.
• Engage in the entire lifecycle of the project, from data preprocessing to analysis and interpretation of results.
• Prepare reports and presentations to communicate findings to both technical and non-technical audiences.
• Physical presence on-campus from 9 to 5 is required.

Requirements:

• Currently enrolled in or recently graduated from a program in Computational Biology, Bioinformatics, Genetics, Computer Science, Statistics, or a related field.
• Strong programming skills (Python, R, or similar).
• Familiarity with genomic data and bioinformatics tools and databases is highly desirable.
• Ability to work collaboratively in a team environment and communicate effectively.
• High motivation and commitment to academic and research excellence.

Application Process:
Interested candidates should submit the following documents:

• A resume or CV detailing educational background, research experience, and relevant skills.
• A cover letter explaining your interest in the project and how your skills and experiences make you a suitable candidate (if not available on PURE, you can send your letter and CV to oadebali@sabanciuniv.edu).
• Letters of recommendation or references.

Join us at the Computational Genomics Laboratory to contribute to the future of personalized medicine and make a tangible impact on people’s lives through the power of genomics. We look forward to your applications and the exciting developments your participation will bring to this field.