Bioinformatician

We are seeking a skilled and detail-oriented Bioinformatician to support data-driven research and development in the field of genomics personalized medicine drug discovery or agricultural biotechnology. The successful candidate will analyze complex biological datasets using computational tools and contribute to the interpretation of biological insights that drive innovation and scientific discovery.

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• Key Responsibilities:

  • Analyze large-scale biological datasets including genomic transcriptomic proteomic and metabolomic data.

  • Develop implement and optimize computational pipelines for data processing and analysis.

  • Collaborate with biologists data scientists and clinicians to design experiments and interpret results.

  • Maintain and manage biological databases ensuring data integrity accessibility and reproducibility.

  • Perform statistical analyses and machine learning to uncover patterns in biological systems.

  • Visualize complex datasets and present findings in a clear actionable manner.

  • Stay up to date with the latest bioinformatics tools databases and methodologies.

  • Document all computational methods workflows and results for reproducibility and publication.

  Qualifications:

  • Masters or Ph.D. in Bioinformatics Computational Biology Computer Science Genomics or a related field.

  • 25 years of hands-on experience analyzing high-throughput biological data.

  • Proficiency in programming languages such as Python R or Perl.

  • Experience with bioinformatics tools (e.g. BLAST GATK STAR BWA SAMtools) and databases (e.g. Ensembl NCBI UniProt).

  • Familiarity with cloud computing platforms (e.g. AWS GCP) and workflow management tools (e.g. Snakemake Nextflow).

  • Strong knowledge of statistics data visualization and biological interpretation.

  • Excellent communication and teamwork skills.

  Preferred Skills:

  • Experience with single-cell sequencing or spatial transcriptomics.

  • Knowledge of machine learning and AI applications in biology.

  • Experience in clinical bioinformatics biomarker discovery or regulatory submissions (e.g. FDA/EMA).

  • Familiarity with version control systems (e.g. Git) and containerization (e.g. Docker Singularity).