Computational Biologist
1 week ago
Transforming Biological Data into Actionable Insights
We are seeking a skilled Computational Biologist to join our team at Unreal Gigs. As a key member of our multidisciplinary team, you will work at the intersection of data science, biology, and technology, developing innovative models and analytical tools to interpret complex biological datasets.
Key Responsibilities:
- Developing Computational Models of Biological Systems: Create and refine computational models that simulate biological processes, such as gene expression, metabolic pathways, and protein interactions. You will use these models to predict cellular behavior and understand disease mechanisms.
- Analyzing and Interpreting Genomic Data: Use computational tools and techniques to analyze large-scale genomic and proteomic datasets. You will identify patterns, mutations, and biomarkers that are critical for drug discovery and personalized medicine.
- Designing Algorithms for Biological Data Analysis: Develop innovative algorithms for data mining, sequence alignment, and evolutionary analysis. You will focus on optimizing these algorithms for speed and accuracy to handle large biological datasets efficiently.
- Collaborating with Multidisciplinary Teams: Work closely with biologists, data scientists, and bioinformaticians to integrate computational approaches into experimental research. You will bridge the gap between biological insights and computational methods to drive data-driven discoveries.
- Visualizing Complex Biological Data: Create intuitive visual representations of computational results, making complex biological data more accessible to researchers and stakeholders. You will use visualization tools to convey patterns and relationships within the data clearly.
- Staying Updated with Advances in Computational Biology: Keep up with the latest developments in computational biology, machine learning, and bioinformatics. You will continuously seek out new techniques and tools to improve your analytical capabilities and methodologies.
- Maintaining Data Integrity and Reproducibility: Focus on ensuring that computational analyses are reproducible, transparent, and rigorously validated. You will develop workflows that maintain data integrity and reliability for use in scientific publications and clinical applications.
Requirements:
Required Skills:
- Computational Biology and Bioinformatics Expertise: Extensive experience in computational biology, with a deep understanding of systems biology, genomics, proteomics, and transcriptomics.
- Algorithm Development and Programming: Strong skills in algorithm design and programming languages like Python, R, MATLAB, or Perl.
- Data Science and Statistical Analysis: Proficiency in data science techniques and statistical analysis methods for interpreting large datasets.
- Data Visualization: Experience with data visualization tools such as Matplotlib, Seaborn, ggplot2, or similar.
- Collaboration and Communication: Strong communication skills with the ability to explain computational concepts to non-technical researchers.
Educational Requirements:
- Bachelor's or Master's degree in Computational Biology, Bioinformatics, Systems Biology, or a related field.
- Ph.D. in Computational Biology, Bioinformatics, or a similar discipline is a plus but not required.
Experience Requirements:
- 3+ years of experience in computational biology, with hands-on experience in developing algorithms and models for biological data analysis.
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