Computational Biologist
3 weeks ago
Unlock the Secrets of Biological Systems
At Unreal Gigs, we're seeking a talented Computational Biologist to join our team of innovators. As a key member of our research team, you'll have the opportunity to work at the intersection of data science, biology, and technology, developing computational techniques to interpret complex biological datasets.
Key Responsibilities:
- Develop Computational Models of Biological Systems:
- Create and refine computational models that simulate biological processes, such as gene expression, metabolic pathways, and protein interactions.
- Use computational tools and techniques to analyze large-scale genomic and proteomic datasets, identifying patterns, mutations, and biomarkers critical for drug discovery and personalized medicine.
- Develop innovative algorithms for data mining, sequence alignment, and evolutionary analysis, optimizing them for speed and accuracy to handle large biological datasets efficiently.
- Work closely with biologists, data scientists, and bioinformaticians to integrate computational approaches into experimental research, bridging the gap between biological insights and computational methods.
- Create intuitive visual representations of computational results, making complex biological data more accessible to researchers and stakeholders.
- Keep up with the latest developments in computational biology, machine learning, and bioinformatics, continuously seeking out new techniques and tools to improve analytical capabilities and methodologies.
- Focus on ensuring that computational analyses are reproducible, transparent, and rigorously validated, developing workflows that maintain data integrity and reliability for use in scientific publications and clinical applications.
Requirements:
Required Skills:
- 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.
- Proficiency in data science techniques and statistical analysis methods for interpreting large datasets.
- Experience with data visualization tools such as Matplotlib, Seaborn, ggplot2, or similar.
- 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.
- Equivalent experience in computational modeling and biological data analysis is highly valued.
Experience Requirements:
- 3+ years of experience in computational biology, with hands-on experience in developing algorithms and models for biological data analysis.
- Proven track record in analyzing high-throughput sequencing data, gene expression datasets, or protein interaction networks.
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.
- Employee assistance program (EAP) with confidential counseling and support services.
- Tuition reimbursement 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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