Lead Data Scientist (Genomics, Machine Learning)
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- 10006543 Requisition #
Thanks for your interest in the Lead Data Scientist (Genomics, Machine Learning) position.
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Basic education, experience and skills required for consideration:
- Master’s in computer science, engineering, statistics, mathematics, physics or related field
- 8+ years of experience with data analytics within industry, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and decision support.
- 3+ years of experience with decision trees
- Strong leadership skills with 2+ years of experience leading a technical team
- 2+ years of industry experience
Preferred Education:
- PhD
Skills/Abilities:
- Experience with project management tools (Jira preferred)
- Experience with relational databases and SQL programming
- Must be knowledgeable in at least one of the statistical and analytic languages such as Python (e.g. pandas, scikit-learn, genism, seaborn), R (e.g. caret, dplyr, ggplot2), Matlab
- Proficiency in at least one programming language (e.g. Python, Java, C)
- Ability to work independently and use creative approaches to problem- solving.
- Capable of turning questions into testable hypotheses, extracting data from complex databases, creating and evaluating statistical models
- Experience in data visualization and ability to communicate results to a non-technical audience
- Ability to maintain a professional attitude and demeanor during normal and pressure situations.
- Demonstration of effective oral/written communication and presentation skills.
- Able to prioritize, organize, assess and reallocate work in order to meet deadlines.
- Familiarity with a health care environment and EHR data
- Time series analysis
- Natural Language Processing (NLP)
- Gradient boosted tree libraries such as XGBoost and LightGBM
- Deep neural networks
- Cloud services platforms like Amazon AWS and Microsoft Azure
- Awareness of the recent trends and developments in the Data Science / Machine Learning fields
City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.
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