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Senior Data Scientist

Senior Data Scientist

  • 2021-23169
  • Hercules, California, United States

We are seeking a data scientist to be part of an elite data science team responsible for creating innovative tools, methods and best practices around the scientific literature. The ideal candidate cares deeply about developing and implementing solutions that dramatically improve one's ability to integrate and quantify knowledge extracted from millions of scientific publications.

Responsibilities

  • Participating in identifying, experimenting and testing of new ways to deliver value from combinations of operational data, customer data and third-party data sources.
  • Transforming and blending complex datasets both structured and unstructured into scientific insights.
  • Performing descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning.
  • Building data pipelines for processing natural language text at scale.
  • Developing front-end tools and interfaces (e.g. notification and alert systems, dashboard reports) for internal clients to view and interact with processed data.
  • Staying on the cutting edge of technology and Data Science.
  • Serving as Data Science representative for the global analytics center of excellence.
  • Coaching and assisting business users along the journey from Excel style analytics to advanced Big Data style analytics.

Qualifications

  • PhD or Master Degree in computer science, data science or similar field with 3+ years experience.
  • Bachelor’s Degree in computer science, data science or similar field with 6+ years experience.
  • Fluency in Python (Flask, FastAPI, Pytest, SqlAlchemy), SQL and at least one of the following: R (RStudio, R Markdown), Go, JavaScript (D3.js, jQuery), Java, C++.
  • Version Control with Git (GitLab with CICD, Docker).
  • Working knowledge of Amazon AWS services (EC2, Elastic Beanstalk).
  • Deep understanding of the mathematical and theoretical foundations of search technologies, statistical analysis and machine learning.
  • Strong practical and applied knowledge of data retrieval and analysis techniques including Search, descriptive statistics, supervised and unsupervised machine learning, NLP, deep learning.
  • Knowledge of biomedical domain literature resources (e.g., PubMed, PubMed Central, ontologies, controlled vocabularies) and tools (BioPython, BioConductor, BLAST, Muscle) a plus.
  • Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership.
  • Onsite or Remote

About Bio-Rad:

Bio-Rad is a global leader providing a broad array of clinical diagnostics and life science research products. With a team of more than 8,000 employees and a global network of operations serving our customers, we help people live longer, healthier lives.

Bio-Rad was founded over six decades ago and has continued to provide the healthcare industry with innovative and useful products that help life science researchers accelerate the discovery process and medical diagnostic labs obtain faster, better results.

EEO/AA Employer/Veterans/Disabled/Race/Ethnicity/Gender/Age

 

Agency Non-Solicitation: 

Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.

 

 

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