Bioinformatics Specialist

4 weeks ago


Cambridge, Cambridgeshire, United Kingdom Unreal Gigs Full time
Unlock the Secrets of Biological Data

At Unreal Gigs, we're seeking a talented Bioinformatics Specialist to join our team and help us uncover the mysteries of biological data. As a key member of our team, you'll work closely with biologists, geneticists, and data scientists to analyze large-scale biological datasets, develop algorithms, and design software tools that aid in understanding molecular biology and genetics.

Key Responsibilities:

  1. Analyze and Interpret Biological Data: Utilize bioinformatics tools and software to analyze large-scale genomic, proteomic, and transcriptomic datasets, extracting meaningful insights to support research in genetics, drug development, and molecular biology.
  2. Develop Computational Models and Algorithms: Design and implement algorithms that process and interpret biological data, including sequence analysis, gene expression profiling, and protein structure prediction, creating models that help predict biological functions and interactions.
  3. Collaborate with Cross-Disciplinary Teams: Work closely with molecular biologists, geneticists, and data scientists to integrate bioinformatics tools into research projects, translating biological questions into computational problems and providing solutions that drive scientific discoveries.
  4. Build and Maintain Bioinformatics Pipelines: Develop automated data analysis pipelines that handle high-throughput sequencing data, including next-generation sequencing (NGS), RNA-seq, and CRISPR screens, ensuring that pipelines are scalable, efficient, and user-friendly.
  5. Stay Up-to-Date with Advances in Bioinformatics: Stay current with the latest developments in bioinformatics, computational biology, and data science, experimenting with new tools, databases, and software to continuously improve analytical techniques and methodologies.
  6. Visualize and Present Data Insights: Create visual representations of biological data to communicate findings to researchers, stakeholders, and non-technical audiences, using data visualization tools to illustrate complex results clearly and effectively.
  7. Ensure Data Quality and Reproducibility: Focus on ensuring the accuracy, quality, and reproducibility of bioinformatics analyses, developing validation methods and maintaining data integrity to ensure that results can be trusted in scientific and clinical applications.

Requirements:

  • Bioinformatics and Computational Biology Expertise: Strong experience in analyzing biological datasets, including genomics, proteomics, and transcriptomics, proficiency in using bioinformatics tools and software like BLAST, Bioconductor, and Python or R for data analysis.
  • Algorithm Development and Data Analysis: Expertise in developing algorithms and computational models for sequence analysis, gene expression profiling, and protein structure prediction, a deep understanding of data structures and machine learning techniques relevant to bioinformatics.
  • Programming and Scripting Languages: Proficiency in programming languages like Python, R, Perl, or Java, skilled in using these languages for data manipulation, statistical analysis, and developing custom bioinformatics tools.
  • Data Visualization: Experience with data visualization tools and libraries like Matplotlib, Seaborn, or ggplot2, knowledge of creating intuitive visualizations that make complex biological data easy to understand.
  • Collaboration and Communication: Strong communication skills with the ability to explain computational results to biologists, researchers, and non-technical stakeholders, able to work effectively in multidisciplinary teams, driving projects from data analysis to biological interpretation.

Educational Requirements:

  • Bachelor's or Master's degree: In Bioinformatics, Computational Biology, Genomics, or a related field, equivalent experience in bioinformatics and computational data analysis is highly valued.
  • Ph.D.: In Bioinformatics, Computational Biology, or related fields is a plus but not mandatory.
  • Certifications: In data analysis, machine learning, or specialized bioinformatics courses are a bonus.

Experience Requirements:

  • 3+ years of experience: In bioinformatics, with a proven track record of analyzing biological datasets and developing computational tools.
  • Hands-on experience: With high-throughput sequencing technologies like NGS, RNA-seq, and CRISPR.
  • Experience in genomics research: Drug discovery, or precision medicine is highly desirable.


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