Postdoctoral Fellow (Data Engineering & AI/ML)

The Geneva Foundation; Bethesda (MD); On-site; USD 65,000 - 79,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

403b retirement plan

Flexible leave options

Paid time off

PSLF eligibility

Job summary

The Geneva Foundation in Bethesda, MD is seeking a Post-Doctoral Fellow to support the sleep foundation project. You will assist the Principal Investigator and team, manage enrollment and regulatory tasks, and help develop scalable data pipelines for multimodal sleep data.

Ideal candidates hold a PhD or MD and have 5+ years in multimodal data analysis, signal processing, and cloud-based ETL pipelines. The role emphasizes collaboration across institutions and robust data management in a

Qualifications

• PhD or MD required.
• 1-2 years medical research project management experience strongly desired, preferably with Department of Defense.
• 5+ years experience with multimodal data analysis.
• Proven experience with signal processing (eg, time-series biosensor data).
• Hands-on experience with version control systems (eg, Git) and ability to work in a collaborative coding environment.
• Experience and/or a strong desire to learn the ins and outs of cloud computing, including managing cloud-native data warehouses and standing up ETL pipelines.
• Preferred qualifications: strong knowledge of sleep science, familiarity with machine learning workflows including model development, model tuning, and deploying models at scale.
• Ability to work in a fast-paced, multidisciplinary, multi-site (sometimes asynchronous) team environment.
• Knowledge of military system, preferred.
• Demonstrate competence in oral and written communication.
• Must be organized, attentive to detail, and possess a positive, friendly and professional demeanor.
• Ability to be flexible with changing priorities and available to interact with employees, clients and sponsors of all levels.
• Ability to exercise independent judgment in fast-paced, high-pressured environment with strict deadlines and to manage multiple projects.
• Computer skills including at least intermediate level experience with Excel and other Microsoft Office Software.

Responsibilities

• Design, develop, and deploy scalable applications (front-end interfaces and back-end data pipelines) to support large-scale research.
• Build ETL pipelines that ingest multimodal datasets, ensuring efficient storage, retrieval, and processing of massive datasets.
• Support the build-out of scalable infrastructure to support advanced machine-learning models using physiological features.
• Optimize application performance and scalability through performance tuning, code refactoring, and database optimization techniques.
• Stay updated with emerging industry trends, academic literature, and technologies in data engineering, cloud architecture, and machine learning.
• Ensure data integrity throughout engineering workflows.
• Assist in the preparation of SOPs, analytical frameworks, and technical documentation.
• Collaborate with leadership and curate progress reports; provide technical oversight to team members.
• Assist in regulatory support, Data Sharing Agreements, and other project documentation.
• Collaborate with PI and research team in performance of the research study.
• Contribute to drafting and submission of abstracts, manuscripts and reports.
• Prepare progress reports on research as required
• Analyze and write-up data
• Present complex information effectively to a range of audiences
• Provide data management assistance
• Provide project close-out support

Skills

PhD/MD

Medical research PM

Multimodal data

Signal processing

Git / version control

Cloud/ETL pipelines

Sleep science knowledge

ML workflow

Military systems

Communication skills

Organization

Adaptability

Independent judgment

Excel / MS Office

Education

PhD or MD

Job description

About the Position

The Post-Doctoral Fellow I provides assistance to the Principal Investigator, Co Investigators, and Research Staff. S/he ensures enrollment numbers are successfully met, when applicable, and protocol adherence, monitoring visits, overseeing regulatory and administrative details, data management assistance and project close-out support is provided.

About the Project

This project is a multi-institution research collaboration with Stanford, Johns Hopkins, the Veteran Affairs (VA), and the Department of War (DoW) to build a sleep foundation model. Unlike traditional AI models, a sleep foundation model relies on self-supervised learning on vast amounts of physiological sleep study data (petabyte-level). By generating representations (embeddings) from the sleep data, the team aims to forecast future health risks and uncover latent patterns that traditional sleep scoring metrics miss.

Salary Range

$65,000 - $79,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate’s related knowledge, skills, and abilities for the position.

Qualifications

• PhD or MD required
• 1-2 years medical research project management experience strongly desired, preferably with Department of Defense
• 5+ years experience with multimodal data analysis
• Proven experience with signal processing (eg, time-series biosensor data)
• Hands-on experience with version control systems (eg, Git) and ability to work in a collaborative coding environment
• Experience and/or a strong desire to learn the ins and outs of cloud computing, including managing cloud-native data warehouses and standing up ETL pipelines
• Preferred qualifications: strong knowledge of sleep science, familiarity with machine learning workflows including model development, model tuning, and deploying models at scale
• Ability to work in a fast-paced, multidisciplinary, multi-site (sometimes asynchronous) team environment
• Knowledge of military system, preferred.
• Demonstrate competence in oral and written communication
• Must be organized, attentive to detail, and possess a positive, friendly and professional demeanor
• Ability to be flexible with changing priorities and available to interact with employees, clients and sponsors of all levels
• Ability to exercise independent judgment in fast-paced, high-pressured environment with strict deadlines and to manage multiple projects
• Computer skills including at least intermediate level experience with Excel and other Microsoft Office Software

Responsibilities

• Design, develop, and deploy scalable applications (both front-end interfaces and back-end data pipelines) to support large-scale research
• Build ETL pipelines that ingest multimodal datasets (wearables, cross-referenced with EHRs, PSGs, and subjective sleep metrics), ensuring efficient storage, retrieval, and processing of massive datasets (+1million records)
• Support the build-out of scalable infrastructure to support advanced machine-learning models using physiological features and sleep microarchitectures
• Optimize application performance and scalability through performance tuning, code refactoring, and database optimization techniques
• Stay updated with emerging industry trends, academic literature, and technologies in data engineering, cloud architecture, and machine learning to continuously improve the lab’s technical capabilities
• Ensure data integrity throughout engineering workflows.
• Assist in the preparation of Standard Operating Procedures (SOPs), analytical frameworks, and technical documentation
• Maintain open communication with leadership, advise on technical processes, and curate progress reports
• Provide technical support and oversight to team members with less experience
• Assist in regulatory support, Data Sharing Agreements, and other project documentation
• Collaborate and assist the Principle Investigator, Co-Investigators and research team in the performance the research study
• Contribute to the drafting and submitting of abstracts, manuscripts and reports for dissemination
• Prepare progress reports on research as required
• Analyze and write-up data
• Present complex information effectively to a range of audiences
• Provide data management assistance
• Provide project close-out suppo

About Geneva

As a leader in military medical research, at Geneva, our professionals develop critical solutions – and build rewarding careers. Our team of more than 400 employees across the world joins forces with some of the world’s leading researchers and innovators, who are committed to the advancement of military medicine worldwide.

Mission

Transforming Military Medicine to Save Lives Worldwide Geneva is a 501(c)3 nonprofit that advances military medicine through research, development, and education as we pursue our purpose to ensure optimal health for service members and the communities they serve.

EEO Statement

The Geneva Foundation is an equal opportunity employer.

Benefits

• Our benefits package includes financial rewards that are a significant part of the employee's total rewards compensation package.
• Medical, dental, and vision healthcare
• Flexible Spending Account
• Health Savings account, with employer contribution
• Coverage is provided for employees and family members including domestic partners
• Short-and long-term disability
• Employee Assistance Program
• Life & ADD insurance
• 403b retirement plan with generous employer match
• Flexible leave options
• 11 paid holidays per year
• up to 4 weeks of paid time off in a rolling year
• Employees may qualify for PSLF as Geneva is a 501(c)(3) nonprofit organization

Full time positions come with all benefits. Part time and intermittent positions may vary.