Overview:

Join our Office of Data Sciences as a Project Scientist and play a key role in transforming pediatric research through data-driven innovation and AI. You’ll help craft winning grant proposals, evaluate cutting-edge technologies—from LLMs to genomic analytics—and build AI-enabled workflows that accelerate translational medicine. Ideal candidates bring hands-on expertise in data science, analytics, and cloud platforms (AWS experience a plus). You’ll partner with clinicians and researchers to identify impactful solutions, drive rigorous technology assessments, and support project execution from concept to publication. If you’re curious, detail-oriented, and thrive in a collaborative, fast-paced environment, this is your opportunity to make a lasting difference in children’s health.

Job Description Summary:

Job Description:

• Collects and organizes large and complex sets of data from various sources.
• Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques.
• Identifies patterns and trends in data to provide insights and recommendations.
• Communicates findings and results to stakeholders through reports and presentations.
• Collaborates with cross-functional teams to develop and improve data-driven solutions.
• Stays up-to-date with industry trends and advancements in data science techniques.
• Assists in the mentoring of less experienced staff.

Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required.

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• Strong desire to learn and highly collaborative.
• Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts.

• Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required.
• Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required.
• Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required.
• Some experience working with healthcare data, preferred.

OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, Walking

FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs

CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting

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"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"