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Lead Bioinformatics Scientist
Listing for:
Placements24
Full Time, Remote/Work from Home
position
Listed on 2026-11-07
Job specializations:
-
Research/Development
Data Scientist, Research Scientist
Job Description & How to Apply Below
Our client is seeking an innovative Lead Bioinformatics Scientist to guide their computational biology research from a remote setting. This critical role involves developing and applying cutting-edge computational tools and algorithms to analyze large-scale genomic and proteomic datasets. You will be instrumental in identifying biological insights, discovering biomarkers, and advancing drug discovery efforts. This is an exceptional opportunity for a seasoned bioinformatician to lead challenging projects, mentor a team of analysts, and significantly contribute to groundbreaking scientific research, all while enjoying the flexibility of a remote work environment.
Key Responsibilities- Lead the design and implementation of bioinformatics pipelines for next-generation sequencing (NGS) data analysis.
- Develop and apply statistical and machine learning methods to analyze complex biological datasets (genomics, transcriptomics, proteomics).
- Collaborate with experimental biologists and clinicians to interpret results and generate actionable insights.
- Manage computational infrastructure and resources, ensuring efficient data processing and storage.
- Mentor and guide junior bioinformaticians and data analysts, fostering technical growth.
- Present findings to scientific teams, management, and at industry conferences.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 6 years of experience in bioinformatics research, with a proven track record of leading projects.
- Expertise in analyzing large-scale biological data, including NGS data (WGS, WES, RNA-Seq).
- Proficiency in scripting languages (e.g., Python, R, Perl) and command-line environments.
- Strong understanding of statistical principles and machine learning algorithms applicable to biological data.
- A highly competitive salary package commensurate with experience.
- Comprehensive health, dental, and vision insurance.
- Generous stock options and long-term incentive plans.
- Fully remote work arrangement with support for home office setup.
- Significant opportunities for career advancement and professional development in a growing field.
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