Digital Health And Behavior Data Scientist

Axle•Baltimore, MD

About The Position

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle is seeking a Digital Health And Behavior Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the National Institute on Drug Abuse (NIDA) located in Baltimore, MD. Overview: This position will provide advanced computational and data science expertise to support digital health and behavioral research within the NIH Intramural Research Program. This position is responsible for leading multimodal data integration, machine learning and simulation modeling, and supporting human subjects research activities to advance understanding of substance use, treatment outcomes, and recovery. The ideal candidate will demonstrate a strong publication record, including peer-reviewed scientific papers as first author, senior author, or contributing middle author, reflecting substantive contributions to computational modeling, machine learning, AI-driven research, or digital health studies.

Requirements

Good Clinical Practice (GCP)
Computer Science
Social Psychology
Information Sciences
Statistics and Decision Science
SQL
Pytorch
TensorFlow
Hugging Face
Pandas
Open AI API Integration
AWS, Azure
GitHub, Jupyter Notebook
RedCap
Mobile Sensing Platforms
Python
MATLAB
Linux
R Skills
Machine Learning Generative AI
Natural Language Processing / LLMs
Computational Simulation Modeling
Multimodal Time-Series Data Analysis
Reproducible Data Science (Python/R)
Human Subjects Research Support
Manuscript writing
Ordering Supplies
Data Presentation
Data Analysis
SOP writing

Responsibilities

Develop and implement computational, statistical, and simulation-based experimental designs to evaluate behavioral and digital health research hypotheses.
Oversee project data quality; analyze and interpret project data.
Write technical reports and prepare manuscripts.
Develop and share analytical tools, scripts, and reproducible workflows to support laboratory research activities.
Review scientific data to determine if a research program can be developed around an idea or data package.
Supports the planning and execution of research experiments in the context of the laboratory's overall research program.
Design and conduct experiments and studies requiring the application of a broad professional knowledge of scientific theories and principles.
Advance the science through proposing and investigating new target projects for initiation based on novelty and relevance to human health.
Supports laboratory staff on research projects and techniques.
Work with staff on the interpretation of experiments performed by research scientists.
Independently direct and conduct special research projects that have a high priority for the laboratory with special emphasis in the development of novel research treatments.
Work with postdoc/biological scientists to perform statistical analysis for research projects.
Provide technical guidance to laboratory staff on computational modeling, machine learning methods, and data analysis strategies.
Maintains laboratory equipment and the training of others in their use.
Operate, troubleshoot and train others to use laboratory equipment and software.
Provide advice and assistance to users in designing experiments, using instrumentation, data acquisition and analysis, and preparing figures for publication.
Assists in maintaining adequate space and facilities for ongoing and projected research studies.
Participate in the laboratory’s review of future proposals for resource allocations.
Evaluates, analyzes and interprets research data, communicates results and methods in reports, presentations, and manuscripts.
Conduct bioinformatics data analyses and statistical analyses; prepare data for abstracts and manuscripts.
Maintain a detailed and up-to-date electronic laboratory notebook detailing all experiments.
Collaborate with investigators to translate research questions into quantitative modeling and data-driven study designs.