Computational Biologist I

Jobtailor; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Jobtailor is seeking a data-driven Bioinformatics Analyst to develop and maintain computational tools and databases for analyzing next-generation sequencing data in cancer genomics.

The role requires strong R/Python skills, experience with high-throughput sequencing data, and the ability to communicate findings effectively. Onsite, full-time position with a collaborative research environment and opportunities to contribute to publications.

Qualifications

• Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or related field with a focus on molecular biology applications, or equivalent practical experience
• Experience working with high-throughput sequencing data
• Proficiency in R and/or Python
• Shell scripting skills
• Background in statistical genetics/genomics
• Familiarity with NGS analysis tools
• Experience in cancer research strongly preferred
• Excellent written and verbal communication skills
• Experience presenting scientific findings and contributing to publications
• Strong interest in molecular and cell biology
• Exceptional attention to detail and ability to identify data anomalies and troubleshoot effectively
• Collaborative mindset focused on delivering research-driven solutions
• Resilience and adaptability when navigating research challenges
• Ability to learn quickly and apply past insights to new problems
• Schedule of 37.5 hours per week and onsite work

Responsibilities

• Develop, implement, and maintain computational tools and database systems for analyzing next-generation sequencing data
• Perform data quality control and comprehensive analysis of complex sequencing datasets
• Identify and investigate novel, clinically relevant research questions in cancer genomics
• Collaborate with scientists, clinicians, and researchers
• Contribute to scientific manuscripts and peer-reviewed publications
• Present findings to internal and external stakeholders, including at scientific meetings
• Maintain clear, well-documented code, pipelines, and workflows
• Participate in lab meetings and stay current with emerging literature in bioinformatics and cancer biology

Skills

R

Python

Shell scripting

Statistical genetics

Data quality control

Scientific communication

Education

Bachelor’s or Master’s degree in Computational Biology/Bioinformatics/CS

Tools

NGS analysis tools

Genomics data analysis pipelines

Job description

• Develop, implement, and maintain computational tools and database systems for analyzing next-generation sequencing data
• Perform data quality control and comprehensive analysis of complex sequencing datasets
• Identify and investigate novel, clinically relevant research questions in cancer genomics
• Collaborate with scientists, clinicians, and researchers
• Contribute to scientific manuscripts and peer-reviewed publications
• Present findings to internal and external stakeholders, including at scientific meetings
• Maintain clear, well-documented code, pipelines, and workflows
• Participate in lab meetings and stay current with emerging literature in bioinformatics and cancer biology

Requirements

• Bachelor’s or Master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related field with a focus on molecular biology applications, or equivalent practical experience
• Experience working with high-throughput sequencing data
• Proficiency in R and/or Python
• Shell scripting skills
• Background in statistical genetics/genomics
• Familiarity with NGS analysis tools
• Experience in cancer research strongly preferred
• Excellent written and verbal communication skills
• Experience presenting scientific findings and contributing to publications
• Strong interest in molecular and cell biology
• Exceptional attention to detail and ability to identify data anomalies and troubleshoot effectively
• Collaborative mindset focused on delivering research-driven solutions
• Resilience and adaptability when navigating research challenges
• Ability to learn quickly and apply past insights to new problems
• Schedule of 37.5 hours per week and onsite work

Core Competencies

Proficient in developing and maintaining computational tools and database systems for next-generation sequencing data analysis, with strong expertise in R and Python programming. Demonstrates exceptional attention to detail and effective communication skills for presenting scientific findings and contributing to publications in cancer genomics.