Data Scientist I
Children's Hospital of Philadelphia · Philadelphia, PA/Remote
The Center for Data-Driven Discovery in Biomedicine (D3b - d3b.center) seeks a talented data scientist with project management experience to join a team of scientists, analysts, and developers in the Translational Imaging Research Unit (TIRU) committed to accelerating treatments and cures for children with cancer. Main projects and responsibilities include project managing the development of pipelines and standardized workflows to facilitate sharing and analysis of biomedical imaging data, which supports research at CHOP as well as pediatric healthcare sites around the world.
We’re looking for creative problem solvers who can leverage software and system engineering to perform both upstream and downstream biomedical imaging analysis. You will be project managing the technical aspects of projects centered on brain tumor research and clinical trials as well as data integration efforts that drive D3b’s research projects. The Data Scientist will be responsible for managing the development life cycle to ensure project/product delivery, will lead daily stand-ups with TIRU team members, will provide project updates to stakeholders and will manage project timelines and risk. The Data Scientist will be supervised by a TIRU technical lead within a multi-disciplinary team within CHOP and work closely with D3b project management team.
The successful candidate will have experience in agile and scrum methodology, code development and management (Github/JIRA), will communicate effectively, and empower the technical teams to deliver on innovation. Deep knowledge of, or direct experience with medical imaging data, database management, and/or handling of “big data” is preferred.
Ideal candidate would have experience with:
- Database design and management, SQL
- Agile and scrum software development methodologies
- Working knowledge of GitHub and/or Jira
- Cloud platforms (such as Amazon Web Services and Google Cloud Platform)
- Tableau or similar
- Biomedical/life sciences data
Job Responsibilities (Continued)
- With guidance, contribute to design and development of production systems that incorporate data queries, data flow, and algorithms, ultimately supporting large-scale implementation.
- Interact with a variety of technical teams and stakeholders to ensure ongoing project goals are met by assessing quality design, distilling requirements into actionable steps, and managing implementation for timely delivery.
- Perform exploratory data analysis and predictive modeling in pediatric biomedical imaging research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
- Contribute to assessing and implementing computational, algorithmic, and predictive analytics approaches to address assigned biomedical research questions in areas such as clinical decision support and population health surveillance.
Job Responsibilities (Continued)
- Implement computational algorithms and analysis for test and evaluation; interprets data to assess algorithm performance.
- Develop high-quality code implementing database management, ETL data flow, and advanced computational algorithms for biomedical imaging data.
- Participate in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers. Prepares project status reports and written documentation in support of planned projects/products.
- Facilitates effective use of software and data engineering methodologies to translate models and algorithms into engineered production applications.
- Utilizing GitHub/Jira workflows, manages all operational and tactical aspects of assigned projects and ensures timely delivery of all project objectives, including adaptive tasking according to team needs.
Required Education and Experience
Required Education: Bachelors in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field.
Preferred Education, Experience & Cert/Lic
Preferred Education: Masters in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Non-degree graduate coursework such as a graduate certificate in Analytics, Statistics, or Data Science preferred.
Preferred Experience: At least one (1) year of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects
Additional Technical Requirements
- Experience and demonstrated ability acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
- Experience using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in either applied educational or professional projects is required.
- Experience writing code in either applied educational or professional projects using one or more of the following languages: Python, Scala, Java is required.
- Familiarity with relational databases (e.g. Postgres, MySQL) strongly preferred.
- Familiarity RESTful web services application programming interfaces preferred.
- Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.
- Applied statistics or mathematical modeling experience preferred.
- Natural language processing experience particularly in the biological and medical domains preferred.
- Experience using distributed computing technologies (e.g. Akka, MapReduce, Cuda) preferred.
- Familiarity with graph, key value, and document data stores (e.g. Neo4j, Hadoop, MongoDB) preferred.
- Experience creating informative visualizations for complex, high dimensional data preferred.
- Experience with probabilistic graphical models, time series predictive models, Markov models preferred.
All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption.
Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products.
Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status.
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