Lead Bioinformatics Analyst

Placements24; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Bonus potential

Health insurance

Paid time off

Education opportunities

Hybrid work model

Job summary

Placements24 is seeking an experienced Lead Bioinformatics Analyst to spearhead data interpretation across genomics, transcriptomics, and proteomics. You will guide a team of analysts, collaborate with researchers, and shape data-driven discovery within a dynamic organization.

The role requires a strong background in NGS data types, HPC environments, and machine learning techniques. Expect leadership responsibilities, mentor duties, and a hybrid work arrangement balancing in-office collaboration

Qualifications

• :
• Master's degree or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics, with at least 2 years in a lead or supervisory role.
• Proven expertise in analyzing next-generation sequencing (NGS) data, including variant calling, RNA-Seq, and ChIP-Seq.
• Proficiency in programming languages such as Python, R, and shell scripting, along with experience in bioinformatics databases and tools.
• Strong understanding of statistical genetics, population genetics, and machine learning techniques.
• Excellent problem-solving abilities and experience with high-performance computing (HPC) environments.

Responsibilities

• Develop and implement scalable computational pipelines for large-scale genomic and other omics data.
• Lead the bioinformatics team in designing experiments, performing data analysis, and interpreting results.
• Collaborate with researchers to define analytical strategies and ensure robust interpretation of biological findings.
• Manage data storage, quality control, and security protocols for sensitive research data.
• Train and mentor junior bioinformatics staff, promoting best practices in computational biology.
• Communicate complex technical findings to both technical and non-technical stakeholders.

Skills

Leadership

NGS data analysis

Python

R

Shell scripting

HPC

Communication

Education

Master's degree in Bioinformatics

PhD in Computational Biology

Tools

Python

R

Shell scripting

SLURM

Git

Job description

About the Role

Our client is seeking an experienced Lead Bioinformatics Analyst to spearhead their data analysis efforts in George . You will play a pivotal role in interpreting complex biological datasets generated from genomics, transcriptomics, and proteomics studies. This position requires a blend of strong analytical skills, deep understanding of biological systems, and the ability to manage and guide a team of analysts. You will work closely with research scientists and computational biologists to extract actionable insights that drive discovery and development programs. This role offers a unique opportunity to shape the future of data-driven research within a dynamic and forward-thinking organization.

Key Responsibilities

• Develop and implement scalable computational pipelines for the analysis of large-scale genomic and other omics data.
• Lead the bioinformatics team in designing experiments, performing data analysis, and interpreting results.
• Collaborate with researchers to define analytical strategies and ensure the robust interpretation of biological findings.
• Manage data storage, quality control, and security protocols for sensitive research data.
• Train and mentor junior bioinformatics staff, promoting best practices in computational biology.
• Communicate complex technical findings to both technical and non-technical stakeholders effectively.

Requirements

• Master's degree or Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics, with at least 2 years in a lead or supervisory role.
• Proven expertise in analyzing next-generation sequencing (NGS) data, including variant calling, RNA-Seq, and ChIP-Seq.
• Proficiency in programming languages such as Python, R, and shell scripting, along with experience in bioinformatics databases and tools.
• Strong understanding of statistical genetics, population genetics, and machine learning techniques.
• Excellent problem-solving abilities and experience with high-performance computing (HPC) environments.

Benefits

• Competitive salary and annual bonus potential.
• Comprehensive medical, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for continued education and professional development in George .
• Hybrid work model balancing in-office collaboration and remote flexibility.