Principal Scientist, Machine Learning (25018-B-670-CBIO) - ArsenalBio
View Company Profile- Job Title
- Principal Scientist, Machine Learning (25018-B-670-CBIO)
- Job Location
- South San Francisco
- Job Description
- WHO WE AREArsenal Biosciences Inc. is a clinical-stage programmable cell therapy company engineering advanced CAR T-cell therapies for solid tumors. We seek a talented and experienced Principal Scientist, Machine Learning to work HYBRID based in our SOUTH SAN FRANCISCO office.ArsenalBio’s mission and purpose are very clear: defeat cancer. With our programmable and computationally driven approach, our team is engineering medicines to attack cancer’s inherent multifaceted nature and overcome the challenges of addressing solid tumors with cell therapy.Driven by a collective of diverse experts across multi-scientific disciplines and clinical and manufacturing expertise, we are united in our purpose to develop the optimal medicines for improving patients’ lives.This means you’ll have the opportunity to work with the best talent in the field of cell therapy and be part of ONE TEAM, which advances therapies for patients who need it most.We’re hunting for a Principal Scientist, Machine Learning to join our dynamic Computational Biology and Machine Learning team! If you’re ready to push the boundaries of AI and its impact on healthcare, this is your opportunity. Collaborating with an interdisciplinary team of world-class scientists and engineers, you’ll spearhead the development of cutting-edge machine learning models. Harness ArsenalBio’s unparalleled proprietary datasets to tackle real-world challenges and drive innovations that make a meaningful - difference in patients’ lives. Join us in shaping the future of precision medicine!WHAT YOU’LL DO
- Design and implement novel ML architectures that leverage massive single-cell datasets to assist with drug discovery and development.
- Work closely with experimental scientists to guide our data processing and generation strategies to maximize model performance for specific applications.
- Publish and present at academic conferences.
- Train and mentor a growing team of ML scientists and engineers.
- Ph.D. in Computer Science, Electrical Engineering, Statistics, Biomedical Engineering, Bioinformatics, or a related field, with 7+ years of industry experience
- OR Master’s degree in one of the above fields, with 12+ years of industry experience
- Proven track record of developing novel deep-learning models with applications to biological questions.
- Familiarity with single-cell sequencing data.
- Ability to work collaboratively and communicate effectively in an interdisciplinary environment.
- Strong software engineering skills, proficiency in Python, and familiarity with state-of-the-art libraries for deep learning model training.
- Experience working in Linux-based cloud computing environments.
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ArsenalBio Company Size
Between 100 - 500 employees
ArsenalBio Founded Year
2019
ArsenalBio Total Amount Raised
$630,806,656
ArsenalBio Funding Rounds
View funding detailsSeries C
$325,000,000 USD
Series B
$220,806,682 USD
Series A
$85,000,000 USD