Arnaout Lab - Junior, Assistant, or Associate Specialist

Summary

The University of California, San Francisco is seeking a Specialist at the Junior, Assistant, or Associate rank for the Arnaout Lab. The role involves conducting grant-funded research in computational imaging and biosignals, focusing on designing and validating algorithms and machine learning models for data analysis in life sciences projects.

Responsibilities

• Carry out grant-funded research to study computational imaging and related biosignals
• Work with the PI under direct supervision in designing, testing, and validating algorithms and machine learning models for data analysis
• Provide data visualization of analyzed results for various ongoing life sciences projects
• Use professional bioinformatics concepts and assist in additional analyses as needed to achieve research objectives

Skills

• Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of relevant research experience
• Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with 3 or more years of research experience
• Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience in the relevant specialization
• Knowledge of bioinformatics methods, databases, data structures
• Self motivated, able to learn quickly, meet deadlines and demonstrate strong organizational and problem solving skills
• Team player with interpersonal skills and an ability to communicate in a clear and concise manner
• Fluency in Python
• Working knowledge of biostatistics and basic statistical testing
• Expertise in machine learning techniques such as convolutional neural networks, recursive neural networks, LSTMs, random forests
• Interest in applying computational analysis to life sciences data
• High integrity and professionalism to work with patient data in a HIPPA-compliant and morally and ethically responsible manner
• 3-5 required references (contact information only)
• Working project management skills
• Working knowledge of applications programming and web development
• Industry experience in data science, specifically with cutting-edge machine learning approaches to data analysis (1 year minimum; 2-3 years preferred)
• Cover Letter (Optional)
• Statement of Research (Optional)
• Statement of Teaching (Optional)

Qualifications

Must Haves

• Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of relevant research experience
• Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with 3 or more years of research experience
• Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience in the relevant specialization
• Knowledge of bioinformatics methods, databases, data structures
• Self motivated, able to learn quickly, meet deadlines and demonstrate strong organizational and problem solving skills
• Team player with interpersonal skills and an ability to communicate in a clear and concise manner
• Fluency in Python
• Working knowledge of biostatistics and basic statistical testing
• Expertise in machine learning techniques such as convolutional neural networks, recursive neural networks, LSTMs, random forests
• Interest in applying computational analysis to life sciences data
• High integrity and professionalism to work with patient data in a HIPPA-compliant and morally and ethically responsible manner
• 3-5 required references (contact information only)

Nice to Haves

• Working project management skills
• Working knowledge of applications programming and web development
• Industry experience in data science, specifically with cutting-edge machine learning approaches to data analysis (1 year minimum; 2-3 years preferred)
• Cover Letter (Optional)
• Statement of Research (Optional)
• Statement of Teaching (Optional)