This job post is closed and the position is probably filled. Please do not apply. Work for Deep Genomics and want to re-open this job? Use the edit link in the email when you posted the job!
๐ค Closed by robot after apply link errored w/ code 404 9 months ago
\nAbout Us\nDeep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is based in Toronto, Ontario with an additional location in Cambridge, Massachusetts. \n\n\nWhere You Fit In \nWe are looking for a Senior Data Scientist to join our team of machine learning scientists, software engineers, and wet lab biologists. Your role will focus on collaborating closely with bench scientists to design experiments and analyze data. You will also work alongside machine learning scientists, applying ML models to practical, impactful projects. \n\n\n\n\n\nWhat you will do:\n* Collaborate with wet lab scientists on experimental design and data analysis.\n* Develop and maintain tools for automating data analysis pipelines.\n* Benchmark internal and external machine learning models, focusing on applications like variant effect prediction and RNA therapeutic design.\n* Mentor and guide junior data scientists, fostering a supportive and collaborative environment for team growth and learning.\n\n\n\nWhat you bring:\n* An MSc or PhD in computational biology, biostatistics, or a related field.\n* At least three years of experience working with experimental teams.\n* A strong understanding of statistics.\n* Solid experience in software engineering best practices, such as version control, unit testing, and continuous integration.\n\n\n\nNice to have:\n* Experience with deep learning models applied to biology\n\n\n\nWhat we offer:\n* A highly competitive salary and meaningful equity compensation (ESOPs)\n* A wide array of company-paid benefits\n* Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.\n\n\n\n\n\nDeep Genomics thanks all applicants, however only those selected for an interview will be contacted. \n\n\nDeep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design and Senior jobs that are similar:\n\n
$47,500 — $85,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nToronto, Ontario
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.