Harvard University · 5 hours ago
Full-Stack Machine Learning Engineer / Data Scientist
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$40/hr - $50/hr
3+ years expHarvard University is seeking to hire a Full-Stack Machine Learning Engineer / Data Scientist to support the management, analysis, and visualization of behavioral and clinical data streams. The role involves working on scalable data pipelines and deploying analytic tools aimed at advancing understanding and treatment of suicidal thoughts and behaviors.
EducationHigher EducationUniversities
Responsibilities
Work with the research team to support the design, development, and implementation of ML models
Support infrastructure for cleaning, processing, analyzing, and visualization of various data types (e.g., GPS data scraped from smartphones, accelerometer data from wearable devices, digital phenotyping data, etc.)
Support experiments to evaluate model performance, perform error analysis, and suggest and implement improvements
Conduct higher-level analysis of data and supervise analyses performed by other members of the lab
Integrate data across workflows (e.g., digital phenotyping, behavioral, and clinical data)
Help develop and support a secure, scalable dashboard or lightweight clinical app that synthesizes data and provides visualizations in real time
Deploy modular, reusable visualization components and maintain version-controlled code repositories
Work closely with university and Harvard teaching hospital-based IT teams to ensure interoperability, reliability, and clinical relevance
Assist with preparation of grant applications, presentations, and publications
Collaborate with researchers in the design, planning, and implementation of analyses that enrich research productivity and reliability
Build understanding of research activities through regular engagements
Provide feedback on scope of work and project plan and track progress of regular milestones
Build and maintain aspects of software code and custom data processing pipelines for complex environments
Apply firm understanding of specific technology to develop custom solutions to meet researchers’ needs
Work in a team of developers and researchers in collaboration with systems professionals
Provide regular communications to project leads with updates
Build internal code design and development guides for future contributors
Teach workshops for researchers on sustainable software and data management practices
Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct
Qualification
Required
Minimum of three years' post-secondary education or relevant work experience
3-5+ years of hands-on experience with time-series data, sensor data, or biomedical/wearable data
Proficiency in one or more programming languages (Python and/or JavaScript preferred), including libraries for ML (TensorFlow, PyTorch), data engineering (pandas, NumPy), and visualization (Plotly, Dash, Bokeh)
Experience deploying dashboards or apps (e.g., Dash, Streamlit, React, Flask, or similar)
Experience with real-time or streaming data pipelines
Expert-level knowledge of statistical programming, particularly R (tidyverse, ggplot2) and R Markdown
Strong understanding of ML approaches for classification, anomaly detection, and prediction using high-frequency data
Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling
Experience with EHR data, REDCap, Qualtrics, or hospital-based informatics systems
Company
Harvard University
Harvard University is a private research university and a member of the Ivy League.
10001+ employees
H1B Sponsorship
Harvard University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (300)
2024 (316)
2023 (255)
2022 (241)
2021 (176)
2020 (152)
Funding
Current Stage
Late StageTotal Funding
$136.43MKey Investors
National Endowment for the Humanities (NEH)Alfred P. Sloan FoundationMassachusetts Clean Energy Center
2023-01-10Grant· $0.35M
2022-01-01Grant· $1.5M
2021-08-24Grant· $0.07M
Leadership Team
Anne Margulies
CIO
Christopher Petty
Director Of Business Development
Recent News
CB Insights
2026-01-23
2026-01-20
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