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.
NYU Langone Health, Skok Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
