Data Analytics Specialist
7 months ago
**Job Summary**:
**Responsibilities**:
- Collect, process, and analyze structured and unstructured biological datasets, including genomics, proteomics, and transcriptomics data.
- Utilize bioinformatics tools and techniques to perform sequence analysis, pathway analysis, and variant calling.
- Develop and implement statistical models and machine learning algorithms to identify patterns, trends, and associations in biological data.
- Collaborate with researchers, scientists, and cross-functional teams to understand project objectives and data requirements.
- Generate visualizations, reports, and summaries to communicate findings and insights effectively.
- Conduct quality control and validation checks to ensure data accuracy, integrity, and reproducibility.
- Stay updated on advancements in bioinformatics, computational biology, and biotechnology to inform analysis methodologies and best practices.
- Assist in the design and optimization of experiments and studies by providing statistical expertise and data-driven recommendations.
- Contribute to the development and maintenance of databases, pipelines, and analytical tools for data management and analysis.
- Support regulatory submissions, clinical trials, and product development activities by providing data analysis and interpretation as needed.
**Qualifications**
- Bachelor's degree or higher in a relevant field such as statistics, mathematics, computer science, or information technology. Master’s or Ph.D. degree preferred.
- At least two years related working experience is required.
- Strong analytical and critical thinking skills to interpret complex data sets and draw meaningful insights.
- Proficiency in programming languages such as Python, R, or Perl for data manipulation, analysis, and scripting.
- Experience with statistical analysis, machine learning, and data visualization techniques.
- Proficiency in data visualization tools and techniques. Familiarity with tools like Tableau, Power BI, or Matplotlib in Python is an asset.
- Basic knowledge of databases and SQL for querying and extracting data.
- Effective communication and collaboration skills with the ability to work in multidisciplinary teams.
- Understanding of business processes and the ability to align data analysis with organizational goals.
- Detail-oriented mindset with a focus on data accuracy, reproducibility, and quality.
- Familiarity with regulatory requirements, compliance standards, and industry best practices in the biotech sector is desirable.
Note: This job description is intended to convey information essential to understanding the scope of the position and is not an exhaustive list of skills, efforts, duties, responsibilities, or working conditions associated with it. Management may assign or reassign duties and responsibilities to this job at any time.
**Salary**: $46.00 per hour
Expected hours: 40 per week
**Benefits**:
- Dental care
- Extended health care
- Paid time off
Flexible Language Requirement:
- French not required
Schedule:
- Monday to Friday
Supplemental pay types:
- Overtime pay
**Education**:
- Bachelor's Degree (preferred)
**Experience**:
- Data analytics: 2 years (required)
**Language**:
- English (preferred)
Ability to Commute:
- Richmond, BC V7A 5H7 (required)
Ability to Relocate:
- Richmond, BC V7A 5H7: Relocate before starting work (preferred)
Work Location: In person
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