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Senior Bioinformatics Scientist

Apex BioTech Research
Cambridge
Salary Estimate
USD 145.000 – USD 195.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Apex BioTech Research is seeking a visionary Senior Bioinformatics Scientist to join our elite R&D team in Cambridge. You will play a pivotal role in accelerating our drug discovery pipeline by leveraging cutting-edge computational methods and high-throughput sequencing data. This is a unique opportunity to lead complex genomic projects that bridge the gap between dry-lab analysis and clinical breakthroughs.

The ideal candidate is a proactive problem-solver with a deep passion for life sciences and the technical expertise to architect scalable bioinformatics solutions. At Apex, we foster a culture of excellence, innovation, and rapid iteration, providing you with the resources of a global leader and the agility of a startup.

Responsibilities

  • Design and implement advanced automated pipelines for Next-Generation Sequencing (NGS) data analysis.
  • Collaborate with cross-functional teams of biologists and chemists to interpret high-dimensional multi-omics datasets.
  • Develop custom algorithms and machine learning models to identify novel biomarkers and therapeutic targets.
  • Maintain and optimize cloud-based genomic databases (AWS/GCP) to ensure high availability and data integrity.
  • Lead the statistical validation of experimental results for peer-reviewed publications and patent filings.
  • Mentor junior computational biologists and contribute to the strategic roadmap of the informatics department.

Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related quantitative field.
  • Minimum of 5 years of post-graduate experience in a professional biotechnology or pharmaceutical environment.
  • Expert-level proficiency in Python, R, and Bash scripting.
  • Demonstrated experience with workflow management tools like Snakemake, Nextflow, or Cromwell.
  • Strong background in statistical modeling, population genetics, and transcriptomics.
  • Excellent communication skills with the ability to translate complex data into actionable biological insights.

Required Skills

Bioinformatics NGS Python Machine Learning Genomics R AWS Data Science Statistics

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