Data Scientist - Division of Clinical Cancer Genomics
City of Hope
Duarte, CA
Job posting number: #7294774 (Ref:10028133)
Posted: December 6, 2024
Salary / Pay Rate: $51.24 - $81.98 / hour
Application Deadline: Open Until Filled
Job Description
Join the forefront of groundbreaking research at theBeckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.
A Data Scientist role is available in the Division of Clinical Cancer Genomics under Dr. Stacy Gray. In this role you will query and analyze large complex datasets to discover insights to apply to an evolving cancer care delivery environment. You will use data mining, statistics and machine learning to understand relationships and patterns in data, build predictive models and propose actionable solutions.
For more information on Dr. Gray, please visit here.
As a successful candidate, you will:
· Collaborate with administrative leaders, clinicians and IT specialists
· Build machine learning models
· Design and implementation of pilots for validation and optimization of models in real time
· Produce technical documentation, visualizations and presentations
Your qualifications should include:
· Masters degree with 0+ years of experience or a Bachelors degree with 3+ years of experience
· Experience with data analytics within industry or academic environment, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and clustering
· Experience withrelational databases and SQL queries.
· Must be knowledgeable in at least one scientific computing language such as Python (e.g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e.g. caret, dplyr, ggplot2)
· Familiarity and experience with Machine learning (RandomForest, XGBoost/ LightGBM, etc.) and deep learning (CNN, RNN, LSTM, etc.) techniques
· Proficiency in at least one programming language (e.g. Python, Java, C/C++)
· Experience within a health care environment and HER, genomics and/or medical imaging data is preferred
City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity and inclusion, please click here.
To learn more about our Comprehensive Benefits, pleaseCLICK HERE.
Salary / Pay Rate Information:
Pay Rate: $51.24 - $81.98 / hour
The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time.
City of Hope is a community of people characterized by our diversity of thought, background and approach, but tied together by our commitment to care for and cure those with cancer and other life-threatening diseases. The innovation that our diversity produces in the areas of research, treatment, philanthropy and education has made us national leaders in this fight. Our unique and diverse workforce provides us the ability to understand our patients' needs, deliver compassionate care and continue the quest for a cure for life-threatening diseases. At City of Hope, diversity and inclusion is a core value at the heart of our mission. We strive to create an inclusive workplace environment that engages all of our employees and provides them with opportunities to develop and grow, both personally and professionally. Each day brings an opportunity to strengthen our work, leverage our different perspectives and improve our patients’ experiences by learning from others. Diversity and inclusion is about much more than policies and campaigns. It is an integral part of who we are as an institution, how we operate and how we see our future.
