Biological Data Analyst

3 weeks ago

Cambridge, Cambridgeshire, United Kingdom Unreal Gigs Full time


Unlock the Secrets of Biological Systems



At Unreal Gigs, we're seeking a talented Computational Biologist to join our mission to revolutionize the field of life sciences. If you're passionate about harnessing the power of algorithms and computational models to unravel the complexities of biology, we want to hear from you.



As a member of our team, you'll work at the intersection of data science, biology, and technology, developing innovative models and analytical tools that transform how we understand biological systems. You'll collaborate with biologists, geneticists, and software developers to design experiments, analyze biological pathways, and discover insights that have a direct impact on research and healthcare.


Key Responsibilities



  2. Develop computational models of biological systems to simulate biological processes, predict cellular behavior, and understand disease mechanisms.
  3. Analyze and interpret genomic data using computational tools and techniques to identify patterns, mutations, and biomarkers critical for drug discovery and personalized medicine.
  4. Design algorithms for biological data analysis, focusing on optimizing them for speed and accuracy to handle large biological datasets efficiently.
  5. Collaborate with multidisciplinary teams to integrate computational approaches into experimental research, bridging the gap between biological insights and computational methods.
  6. Visualize complex biological data using intuitive visual representations, making it more accessible to researchers and stakeholders.
  7. Stay updated with advances in computational biology, machine learning, and bioinformatics, continuously seeking new techniques and tools to improve analytical capabilities and methodologies.
  8. Ensure reproducibility and data integrity in computational analyses, developing workflows that maintain data reliability for scientific publications and clinical applications.


Requirements



  • Extensive experience in computational biology, with a deep understanding of systems biology, genomics, proteomics, and transcriptomics.
  • Strong skills in algorithm design and programming languages like Python, R, MATLAB, or Perl, with the ability to develop efficient computational algorithms for biological data analysis.
  • Proficiency in data science techniques and statistical analysis methods for interpreting large datasets, including machine learning approaches applicable to biological research.
  • Experience with data visualization tools such as Matplotlib, Seaborn, ggplot2, or similar, with the ability to create compelling visualizations that highlight key insights from complex biological datasets.
  • Strong communication skills with the ability to explain computational concepts to non-technical researchers, with experience working in multidisciplinary teams to drive collaborative scientific efforts.


Benefits



  • Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Competitive vacation, sick leave, and 20 paid holidays per year.
  • Flexible work schedules and telecommuting options.
  • Opportunities for training, certification reimbursement, and career advancement programs.
  • Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life insurance and short-term/long-term disability coverage.
  • Confidential counseling and support services for personal and professional challenges.
  • Financial assistance for continuing education and professional development.
  • Opportunities to participate in community service and volunteer activities.
  • Employee recognition programs to celebrate achievements and milestones.

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