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About the Role

The Data Science and Biostatistics Unit (DSBU) within the Department of Biomedical and Health Informatics (DBHi) provides data management, analysis, and consultation to researchers across CHOP’s Research Institute. The interdisciplinary team specializes in diverse multimodal healthcare data and a wide range of machine learning and statistical methodologies. This role leads a team of data scientists, ensuring high-quality work delivery and collaborating with principal investigators to achieve meaningful research outcomes and academic output. The manager will advance DSBU priorities, manage the data science team, and oversee budgets, serving as both a mentor and individual contributor, particularly in computer vision and natural language processing projects involving image, video, and unstructured text healthcare data.

Responsibilities

Build and manage a team of staff scientists for data science research program development and execution.
Recruit, hire, and manage staff, including performance and career development.
Collaborate with clinical and biomedical researchers to identify data science research questions.
Lead data science research experiment planning and execution, serving as Principal or Co-investigator when appropriate.
Identify relevant funding opportunities and lead collaborative proposal planning and writing.
Disseminate research findings through peer-reviewed journal articles and professional conference presentations.
Communicate research methods, implementation, and results to diverse audiences of clinicians, scientists, analysts, and programmers.
Guide and mentor junior staff and biomedical researcher collaborators on research project execution.
Serve as the subject matter expert for computational algorithm implementation, testing, evaluation, and advanced data interpretation to assess algorithm performance.
Set standards and ensure staff accountability for formulating analysis plans that meet stringent criteria for reproducibility and measures of significance.
Serve as the subject matter expert and lead architect for developing high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software.
Lead education for diverse audiences on data science research methods, implementation, and results.
Mentor junior staff, student workers, co-ops, and research trainees (fellows, post-docs).
Manage large, complex projects, take responsibility for major components of larger research initiatives, assign work to junior staff, and track deliverables against project timelines.

Requirements

Expertise in acquiring new technical/analytic skills and domain knowledge for research and development projects.
Expertise in formulating analysis plans and selecting appropriate methods.
Expertise using machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in applied academic or professional projects.
Expertise writing code in Python, Scala, or Java for applied academic or professional projects.
Applied statistics or mathematical modeling experience.
At least seven years of experience in applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects.
At least three years of leadership, management, or supervisory experience.

Skills

Familiarity with relational databases (e.g., Postgres, MySQL).
Familiarity with RESTful web services application programming interfaces.
Strong verbal and written communication skills with the ability to explain complex technical concepts to a lay audience.
Natural language processing experience, particularly in biological and medical domains.
Experience using distributed computing technologies (e.g., Akka, MapReduce, Cuda).
Familiarity with graph, key-value, and document data stores (e.g., Neo4j, Hadoop, MongoDB).
Experience creating informative visualizations for complex, high-dimensional data.
Experience with probabilistic graphical models, time series predictive models, Markov models.

Location

United States of America

Work Type

Day Shift
Full-time
Part-time

Experience Level

At least seven years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience
At least three years of leadership, management, or supervisory experience
At least five years of leadership, management, or supervisory experience (Preferred)
At least ten years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience (Preferred)

Education Level

Master's Degree
Doctorate in Analytics, Data Science, Statistics, Mathematics, Computer Science, or related field (Preferred)

Salary/Compensations

$139,220.00 - $184,460.00 Annually
Eligible for an incentive program

About the Company

Children’s Hospital of Philadelphia (CHOP) is a diverse community of over 20,000 professionals dedicated to advancing pediatric care.
CHOP values employee experience, voice, and contributions to make a difference for patients and families.

Equal Opportunity

CHOP does not discriminate based on race, color, sex, national origin, religion, or any other legally protected categories in employment, training, or vendor decisions or programs.
CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means.
EEO / VEVRAA Federal Contractor.
Annual influenza vaccine is required for employees who work in patient care buildings or have patient-facing responsibilities.