Job Summary
The position of Computational Biologist / Postdoctoral Fellow focuses on exploring the realms of epigenomics, machine learning, and three-dimensional genome biology. The role involves applying advanced computational techniques and methodologies to analyze biological data, enhancing the understanding of genetic elements and their interactions in a three-dimensional space.
Responsibilities
- Conduct sophisticated computational analyses of epigenomic datasets.
- Develop and apply machine learning algorithms tailored for genetic data interpretation.
- Collaborate with laboratory researchers to integrate computational findings with experimental data.
- Generate comprehensive reports and presentations to share findings with colleagues and stakeholders.
- Stay updated with current trends in machine learning and epigenomic research to incorporate innovative approaches.
- Contribute to the development of new methodologies for 3D genomic analysis and visualization.
Qualifications
- PhD in Computational Biology, Bioinformatics, or a related field.
- Strong programming skills in languages such as Python or R.
- Experience with machine learning techniques and statistical analysis.
- Familiarity with genomic databases and bioinformatics tools.
- Ability to work collaboratively in a multidisciplinary team environment.
- Excellent problem-solving skills and attention to detail.
