
Bioinformatician/Research Data Analyst 1
Welcome to Stanford University, where we value innovative research and collaboration in the field of bioinformatics. We are looking for a talented and driven individual to join our team as a Bioinformatician/Research Data Analyst 1. In this role, you will have the opportunity to work with cutting-edge technology and contribute to groundbreaking research projects. We are seeking a candidate who is passionate about data analysis and has a strong background in bioinformatics. If you are a motivated self-starter with excellent analytical skills and a desire to make a difference in the world of research, we encourage you to apply for this exciting opportunity at Stanford University.
- Conduct data analysis and interpretation in the field of bioinformatics, utilizing various tools and software.
- Collaborate with researchers and other team members to support ongoing research projects and contribute to the development of new ones.
- Stay updated on the latest advancements in bioinformatics and identify opportunities for their application in research.
- Develop and maintain databases and data management systems to ensure accurate and efficient storage of research data.
- Communicate findings and results to team members and other stakeholders in a clear and concise manner.
- Troubleshoot and resolve any technical issues related to data analysis or software usage.
- Adhere to ethical and regulatory guidelines related to data collection, analysis, and management.
- Keep detailed records of data analysis processes and methodologies for future reference.
- Continuously evaluate and improve data analysis methods to enhance research outcomes.
- Actively participate in team meetings, seminars, and workshops to discuss research progress and exchange ideas.
- Collaborate with external partners and vendors to acquire necessary data and tools for research projects.
- Mentor and train junior team members in bioinformatics techniques and best practices.
- Assist in writing research proposals and manuscripts for publication.
- Represent Stanford University and its values in a professional and positive manner.
Bachelor's Or Master's Degree In Bioinformatics, Computer Science, Or A Related Field.
Proficiency In Programming Languages Commonly Used In Bioinformatics, Such As Python, R, And Sql.
Experience With Data Mining, Analysis, And Visualization Tools, Such As Blast, Cytoscape, And Tableau.
Knowledge Of Biological Databases, Sequencing Technologies, And Statistical Methods Commonly Used In Genomics And Proteomics Research.
Strong Communication And Teamwork Skills, With The Ability To Effectively Collaborate With Researchers And Present Findings To Diverse Audiences.
Programming
Data Analysis
statistical analysis
Database Management
Machine Learning
Quality Control
Data Visualization
Data Mining
Genomics
Bioinformatics
Proteomics
Next-Generation Sequencing
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Bioinformatician/Research Data Analyst 1 in Stanford, CA, USA is $70,000 - $95,000 per year. However, this can vary depending on the specific job responsibilities, years of experience, and the employer's industry and location. Some bioinformaticians/research data analysts may earn higher salaries, particularly those with advanced degrees or specialized skills.
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Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. Stanford is known for its academic achievements, wealth, location within Silicon Valley, and selectivity; it ranks as one of the world's top universities. Stanford University is a place of learning, discovery, expression and innovation. Founded in 1885, Stanford’s areas of excellence span seven schools along with research institutes, the arts and athletics. Stanford’s faculty, staff and students work to improve the health and wellbeing of people around the world through the discovery and application of knowledge.

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