Staff Associate I

The Staff Associate I in the AlQuraishi Lab will be assisting computational scientists in designing algorithms for designing new proteins and predicting the function of proteins using deep learning algorithms operating on the structure of proteins and biomolecules.

Duties

• 50%: Contribute to the design of machine learning algorithms for protein design and function
• 50%: Contribute to the curation of datasets for performing machine learning

Functional Knowledge

• Use of lab-specific computational tools and pipelines for machine learning
• Data analysis and applied machine learning tools
• Basic knowledge of Bioinformatics and Protein Biology

Problem Solving

* Advanced computational problem-solving abilities, proactive, task-oriented

* Ability to understand research questions and apply proposed solutions, including application of quantitative frameworks to generate quantitative solutions

Decision Making/Autonomy (Must equal 10)

• Level of supervision required, on a scale of 1 (least) to 10 (most) - #3
• Degree of independent judgment expected, on a scale of 1 (least) to 10 (most) - #7

Leadership

• To be able to effectively plan activities, dividing complex projects into specific tasks
• To work effectively and collaboratively with a highly multidisciplinary team
• To be able to cooperate effectively with experts from diverse scientific backgrounds, including life scientists, physicists, computer scientists and engineers

Technical Expertise

• Computer languages and environments: Python, PyTorch
• Understanding of commonly used computational pipelines developed for protein analysis
• Ability to generate machine learning algorithms using PyTorch
• Ability to perform data analysis in the context of protein structure and design

• Bachelor's degree in computational biology, computer science, biochemistry, or related field
• 1-2 years of experience in computational systems biology and machine learning

Technical Expertise

• Computer languages and environments: Python, PyTorch
• Understanding of commonly used computational pipelines developed for protein analysis
• Ability to generate machine learning algorithms using PyTorch
• Ability to perform data analysis in the context of protein structure and design

Communication Skills

• Excellent oral and written English communication
• Excellent communication of science-related topics, including computational biology, systems biology, protein structure and engineering
• Ability to present scientific research to both experts and non-experts in the field

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.