Remote Senior Bioinformatician - Genomics and Transcriptomics

Placements24

Queenstown

Hybrid

NZD 120,000 - 180,000

Full time

27 hours ago
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Benefits offered by this job

Competitive salary
Performance bonuses
Health insurance
Dental & vision insurance
Stock options
Flexible remote work
Professional development
Paid time off
Employee assistance program

Job summary

Placements24 seeks a Senior Bioinformatician for a fully remote role in biotechnology research. You will analyze genomic and transcriptomic data, build pipelines, and collaborate with biologists and clinicians to drive therapeutic insights.

You have a PhD and 5+ years in bioinformatics, strong Python/R skills, and experience with Bioconductor, GATK, and HPC. The role emphasizes reproducibility, mentorship, and scientific publication contributions.

Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, CS, Statistics, Genetics, or related field.
  • Minimum of 5 years in bioinformatics focused on genomic and transcriptomic data.
  • Proficiency in Python or R and use of Bioconductor, Samtools, GATK.
  • Hands-on experience with NGS data analysis pipelines and statistical methods.
  • Familiarity with Unix/Linux and HPC environments.
  • Experience in data visualization and communicating results clearly.
  • Ability to work independently and in a remote, collaborative setting.

Responsibilities

  • Develop and implement computational pipelines for NGS data (WGS, exome, RNA-seq).
  • Perform statistical analyses to identify variations, expression patterns, and pathways.
  • Collaborate with experimental biologists to design studies and interpret results.
  • Develop and maintain databases for large datasets.
  • Create visualizations and reports for scientific and non-scientific audiences.
  • Stay updated with bioinformatics tools and methods.
  • Contribute to publications, talks, and grants.
  • Mentor junior bioinformaticians and provide guidance.
  • Ensure reproducibility and quality control of analyses.
  • Contribute to development of new tools and methods.

Skills

Python
R
Statistical analysis
Data visualization
Biostatistics
Research mentoring
Remote collaboration

Education

Ph.D. in Bioinformatics or related field

Tools

Bioconductor
Samtools
GATK
Unix/Linux
High-performance computing

Job description

About the Role

This is a fully remote position. Our client is a rapidly growing biotechnology company at the forefront of personalized medicine, and they are seeking an experienced Senior Bioinformatician to join their dedicated research team. In this remote role, you will play a crucial part in analyzing and interpreting large-scale genomic and transcriptomic datasets to uncover biological insights and drive therapeutic development. You will collaborate closely with experimental biologists, clinicians, and computational scientists to design and implement advanced analytical strategies. The ideal candidate will possess a strong background in statistical analysis, programming, and a deep understanding of biological data. This is an exceptional opportunity to contribute to groundbreaking research in a fully remote setting, working on projects that have the potential to significantly impact patient care. We are looking for a self-motivated, detail-oriented individual with a passion for unlocking the potential of biological data. The company provides a flexible work environment and all the necessary tools to succeed remotely.

Key Responsibilities
  • Develop and implement computational pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq data.
  • Perform statistical analysis and interpretation of complex biological datasets to identify genetic variations, gene expression patterns, and biological pathways.
  • Collaborate with experimental biologists to design studies and interpret results from high-throughput screening and functional genomics experiments.
  • Develop and maintain databases for storing and managing large biological datasets.
  • Create visualizations and reports to effectively communicate findings to both scientific and non-scientific audiences.
  • Stay current with the latest advancements in bioinformatics tools, algorithms, and computational biology techniques.
  • Contribute to scientific publications, presentations, and grant proposals.
  • Mentor junior bioinformaticians and provide technical guidance.
  • Ensure reproducibility and quality control of all analyses performed.
  • Contribute to the development of novel bioinformatics tools and methodologies.
Requirements
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related quantitative field.
  • Minimum of 5 years of experience in bioinformatics, with a strong focus on analyzing genomic and transcriptomic data.
  • Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries and tools (e.g., Bioconductor, Samtools, GATK).
  • Hands-on experience with various NGS data analysis pipelines and statistical methods.
  • Familiarity with Unix/Linux operating systems and high-performance computing environments.
  • Experience with data visualization tools and techniques.
  • Strong understanding of molecular biology, genetics, and disease mechanisms.
  • Excellent analytical, problem-solving, and communication skills.
  • Proven ability to work independently and manage multiple research projects simultaneously in a remote environment.
  • Demonstrated ability to collaborate effectively with multidisciplinary teams.
Benefits
  • This fully remote role offers a competitive salary, performance-based bonuses, and a comprehensive benefits package including health, dental, and vision insurance.
  • A generous stock option plan is also available.
  • We provide a flexible remote work environment with all the necessary equipment and support.
  • Professional development opportunities, including access to online courses and conferences, are provided.
  • Our client fosters a culture of innovation and scientific collaboration.
  • We offer paid time off for vacation, sick leave, and holidays.
  • An employee assistance program is available for confidential support.
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