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Lead Computational Biologist - Genomics

Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • Research/Development
    Data Scientist, Genetics / Genomics, Research Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 220000 USD Yearly USD 150000.00 220000.00 YEAR
Job Description & How to Apply Below

About the Role

Our client is actively seeking a talented and visionary Lead Computational Biologist to spearhead their genomics research initiatives. This is a fully remote position, allowing you to work from anywhere in South Africa while contributing to groundbreaking discoveries. You will be responsible for developing and implementing cutting-edge computational strategies to analyze large-scale genomic and transcriptomic datasets, driving our understanding of complex biological systems and disease mechanisms.

This role offers a unique opportunity to shape the future of our research direction, collaborate with a world-class team of scientists, and make a significant impact in the field of bioinformatics and genomics, all within a supportive, remote-first organizational culture.

Key Responsibilities
  • Develop and maintain scalable bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data.
  • Design and perform sophisticated statistical analyses on large genomic, transcriptomic, and epigenomic datasets.
  • Collaborate with experimental biologists to interpret sequencing results and guide future experimental design.
  • Build predictive models and machine learning algorithms to identify biomarkers and therapeutic targets.
  • Lead and mentor a team of computational biologists, fostering collaboration and innovation.
  • Stay abreast of the latest advancements in genomics, bioinformatics, and related fields.
Requirements
  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • Extensive experience (7+ years) in computational biology, with a focus on genomics and transcriptomics.
  • Proficiency in programming languages such as Python, R, and bash scripting.
  • Strong experience with NGS data analysis tools and platforms (e.g., GATK, STAR, Salmon, Seurat).
  • Demonstrated ability to design, implement, and optimize complex bioinformatics workflows.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to diverse audiences.
Benefits
  • Highly competitive salary commensurate with experience.
  • Fully remote work arrangement with flexible hours.
  • Generous stock options and performance bonuses.
  • Comprehensive health insurance coverage.
  • Annual budget for professional development, including conferences and training.
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