21 Apr
Senior Data Scientist - Cancer Target Discovery
California, Southsanfrancisco , 94102 Southsanfrancisco USA

Vacancy expired!

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.

Vacancy expired!


Report job