11 Jun
Senior Data Scientist - Cancer Target Discovery
California, Southsanfrancisco , 94102 Southsanfrancisco USA

Our client is solving a major bottleneck in the field of immunotherapy - identifying novel targets that can be used to generate therapies to treat cancer in broad patient populations.This Jobot Job is hosted by: Augie UllmannAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $140,000 - $200,000 per year

A bit about us:Our Client is committed to making a difference for patients. Their focused, creative, and ambitious team makes them the perfect engine to drive therapeutic solutions to reality. We're looking for enthusiastic and self-motivated data scientists to bring their talents to a fast-paced environment.Firm requirements are 3+ years of industry experience relevant to statistical modeling and/or ML, experience scaling large deep learning networks, and experience building/modifying/scaling ML architectures (CNN, LSTM, etc). ALL RESUME SUBMISSIONS MUST INCLUDE COVER LETTER

Why join us?
  • Competitive Base Salary, and equity (based on experience)!
  • Medical, Dental, and vision Benefits.
  • Accelerated Career Growth!

Job DetailsYour Typical Responsibilities:1) Building, testing, optimizing, and executing statistical and/or machine learningmodels (support vector machines, random forests, convolutional neural networks,etc.) related to DNA/RNA/protein data for novel target discovery2) Working in a small team of 5-6 computationalists to develop interdisciplinary skillsin data infrastructure, data pipelines, scaling and automating pipelines, andbioinformatics3) Collaborating with multiple internal groups on cross-functional projects4) Creating presentations and providing written and verbal updates on scientificfindingsRequired Qualifications:1) 3+ years of industry experience relevant to statistical modeling and/or machinelearning2) Experience in building and testing statistical and/or machine learning models(support vector machines, random forests, convolutional neural networks, etc.)3) Building and/or modifying scalable machine learning architectures (CNN, LSTM,etc.)4) Experience scaling large deep learning networks5) Self-motivated and a proactive thinker - can work independently and in teams6) Relevant experience in statistics and machine learning7) Excellent written and communication skills presenting and discussing scientificdataPreferred Qualifications:1) Master's or Ph.D. degree or equivalent in relevant field2) Previous roles in managing teams and projects3) Knowledge in any of the following fields: structural biology, immunology, proteinengineering, cancer biology4) Experience in applying computational models to protein structure data (affinityprediction, protein-protein docking, homology-based predictions, physics-basedpredictions)5) Experience utilizing Amazon Web Services tools to scale and automate pipelines6) Parallel computing strategies to accelerate data analysisInterested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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