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Form of workAbout Nine Square Therapeutics:
Nine Square Therapeutics is a growing biotech company founded by ATP Ventures together with leading scientists in the field of computational chemistry and system biology. Our mission is to find treatments for life-threatening neurodegenerative diseases, such as Parkinson's disease and ALS. We are applying molecular modeling and molecular dynamics simulations combined with imaging-based cell profiling to identify and develop novel small-molecule therapeutics that significantly improve patients' lives. Nine Square Therapeutics offers a dynamic start-up environment with a passionate team of mission-driven professionals. We seek colleagues to push the boundaries of drug discovery and identify innovative solutions to scientific problems .
Position Summary:
As a Computational Biology Intern, your work will contribute to the discovery and characterization of novel small molecule drugs targeting the brain. We are searching for creative candidates with a drive to learn and to proactively contribute ideas to push our
research to the next stage. This opportunity will allow you to gain experience working in an interdisciplinary team; understanding how to operate at the interface of biology, chemistry and data science.
You will use your knowledge to support the development of our machine-learning enabled cell profiling platform. The project will entail implementing vision transformer-based pipelines on internal libraries of cellular imaging. Final project design will be developed together with the successful candidate, building on their skills and experience.
Please include a cover letter alongside your resume, explaining your motivations for undertaking an internship with Nine Square Therapeutics, and highlighting the key skills you can bring to our team.
Primary Responsibilities:
Final project design will be developed together with the successful candidate, building on their skills and experience.
Examples of the kinds of projects you could be working on:
Requirements:
Full compensation packages are based on candidate experience and certifications.
South San Francisco, CA pay range
$25 - $35 USD
Nine Square Therapeutics is a growing biotech company founded by ATP Ventures together with leading scientists in the field of computational chemistry and system biology. Our mission is to find treatments for life-threatening neurodegenerative diseases, such as Parkinson's disease and ALS. We are applying molecular modeling and molecular dynamics simulations combined with imaging-based cell profiling to identify and develop novel small-molecule therapeutics that significantly improve patients' lives. Nine Square Therapeutics offers a dynamic start-up environment with a passionate team of mission-driven professionals. We seek colleagues to push the boundaries of drug discovery and identify innovative solutions to scientific problems .
Position Summary:
As a Computational Biology Intern, your work will contribute to the discovery and characterization of novel small molecule drugs targeting the brain. We are searching for creative candidates with a drive to learn and to proactively contribute ideas to push our
research to the next stage. This opportunity will allow you to gain experience working in an interdisciplinary team; understanding how to operate at the interface of biology, chemistry and data science.
You will use your knowledge to support the development of our machine-learning enabled cell profiling platform. The project will entail implementing vision transformer-based pipelines on internal libraries of cellular imaging. Final project design will be developed together with the successful candidate, building on their skills and experience.
Please include a cover letter alongside your resume, explaining your motivations for undertaking an internship with Nine Square Therapeutics, and highlighting the key skills you can bring to our team.
Primary Responsibilities:
Final project design will be developed together with the successful candidate, building on their skills and experience.
Examples of the kinds of projects you could be working on:
- Develop tools for the visualization of data to understand the dynamic behavior of cellular disease models
- Design and build data preprocessing and data quality control pipelines
- Benchmarking of different machine learning models using internal datasets
- Creation of an internal system to allow browsing of different disease modeling and assay scenarios
Requirements:
- Working towards BS (with relevant coursework), MS, or Ph.D. in an engineering, mathematics or life sciences discipline
- Good understanding of machine learning and statistical principles
- Experience programming in one or more programming languages, with preference given to those with experience in MATLAB, R, and/or Python
- Strong communication skills
- Demonstrated ability to write high-quality code
- Experience with microscopy or image-based datasets advantageous
Full compensation packages are based on candidate experience and certifications.
South San Francisco, CA pay range
$25 - $35 USD
