Title:  Lead Bioinformatics Programmer - Epigenetics

Summary

We are seeking a highly motivated and skilled Hi-C and epigenetic data analyst to join our team to conduct studies on gene regulation. The ideal candidate will have extensive knowledge and experience in human biology, anatomy, and biomedicine, as well as structural biology, data analysis, and studies of nuclear architecture. The successful candidate will be responsible for analyzing and interpreting large-scale epigenetic and Hi-C data sets to investigate gene regulation mechanisms and contribute to cutting-edge research projects.

Job Duties

• Analyze and interpret large-scale epigenetic and Hi-C data sets to investigate gene regulation mechanisms
• Develop and implement novel computational methods to integrate and analyze complex genomic data
• Collaborate with other scientists to design and perform experiments to validate computational findings
• Use statistical and machine learning techniques to identify patterns and relationships in large data sets
• Communicate scientific findings to both technical and non-technical audiences through presentations, reports, and scientific publications
• Stay up-to-date with the latest research in the field and incorporate new techniques and technologies into the analysis pipeline

Minimum Qualifications

• Bachelor's degree in Computer Science, Biological Science, or a related field.
• Five years of relevant experience.

Preferred Qualifications

• PhD in Bioinformatics, Computational Biology, Biomedical Engineering, or related fields
• Experience with epigenetic and Hi-C data analysis and interpretation
• Proficiency in programming languages such as Python and CUDA
• Experience with computational tools for statistical and machine learning analysis of genomic data
• Strong background in human biology, anatomy, and biomedicine, as well as in structural biology, data analysis, and studies of nuclear architecture
• Proficiency in programming languages such as Python and CUDA
• Experience with computational tools for statistical and machine learning analysis of genomic data