Computational Biologist - Genomics Data Analysis

Placements24; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Health insurance

Professional development allowance

Job summary

Placements24 seeks a skilled Computational Biologist to join a fully remote R&D team focused on large-scale genomics analysis to drive discovery and support drug development. You will work with cutting-edge technologies and collaborate virtually with diverse scientists to interpret genomic data, identify biomarkers, and advance disease understanding.

Remote-friendly, impactful research role. The role emphasizes analysis of NGS data, development of pipelines, and collaboration with biologists in

Qualifications

• PhD or Master's in Computational Biology or related field.
• Experience analyzing large-scale genomics data (NGS).
• Proficiency in Python or R for bioinformatics.
• Strong statistical and ML fundamentals.
• Experience with HPC and Linux environments.

Responsibilities

• Analyze next-generation sequencing (NGS) data including whole-genome, exome, and RNA-seq data.
• Develop computational pipelines for processing, analyzing, and visualizing genomic data.
• Collaborate with experimental biologists to interpret results and design follow-up experiments.
• Apply statistical methods and machine learning to extract insights from complex datasets.
• Contribute to the development of new analytical tools and methodologies.
• Communicate findings through reports, presentations, and publications.

Skills

Python

R

NGS data

Statistics

Machine learning

Communication

Linux

Education

PhD or Master's in Computational Biology

Tools

Linux

HPC

Job description

About the Role

Our client is seeking a skilled Computational Biologist to join their innovative, fully remote research and development team. This role focuses on the analysis of large-scale genomics datasets to drive biological discovery and support drug development efforts. You will work with cutting-edge technologies and collaborate virtually with a diverse team of scientists to interpret complex genomic information, identify novel biomarkers, and contribute to advancing our understanding of disease mechanisms. This position offers the flexibility of remote work combined with the challenge of impactful scientific research.

Key Responsibilities

• Analyze next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq data, to identify genetic variants and gene expression patterns.
• Develop and implement computational pipelines for processing, analyzing, and visualizing genomic data.
• Collaborate with experimental biologists to interpret results and design follow-up experiments.
• Utilize statistical methods and machine learning techniques to extract meaningful insights from complex biological datasets.
• Contribute to the development of novel analytical tools and methodologies.
• Communicate findings effectively through reports, presentations, and publications.

Requirements

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Genetics, Computer Science, or a related field.
• Proven experience in analyzing large-scale genomics datasets, particularly NGS data.
• Proficiency in scripting languages such as Python or R, and experience with relevant bioinformatics tools and libraries.
• Strong understanding of statistical principles and machine learning concepts.
• Experience with command-line environments (Linux/Unix) and high-performance computing clusters.
• Excellent problem-solving skills and effective communication abilities for remote collaboration.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work arrangement with flexible scheduling.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for professional development and continuing education.
• Access to advanced computational resources and collaborative research environment.