AI Research Scientist – Healthcare Machine Learning

Convergenz; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Remote work

Up to 25% travel

W-2 benefits package

11 paid holidays

10 PTO days

Job summary

Convergenz is seeking an AI Research Scientist to support a federally funded healthcare research initiative under ARPA-H. The role is remote in the United States with up to 25% travel, and requires US citizenship for Public Trust eligibility.

You will work at the intersection of advanced AI research, biomedical data science, and privacy-preserving technologies, influencing cutting-edge AI approaches for personalized healthcare.

Qualifications

• PhD in CS or related field; strong research track record.
• 7+ years of relevant research or industry experience.
• Experience with healthcare/biomedical data and ML.
• Experience with federated learning and privacy-preserving techniques.
• Strong communication and ability to explain complex concepts.
• US Citizenship required and ability to obtain Public Trust.

Responsibilities

• Serve as SME in ML, federated AI, and privacy-preserving healthcare data.
• Evaluate advanced AI methodologies and longitudinal/causal models.
• Assess federated architectures across research institutions.
• Guide integration of diverse biomedical datasets.
• Evaluate model accuracy, generalizability, fairness, and privacy.
• Review research proposals, milestones, budgets, and deliverables.
• Collaborate with multidisciplinary teams to integrate data and AI.
• Advance AI research supporting personalized healthcare.

Skills

Federated learning

Privacy-preserving ML

Longitudinal modeling

Causal inference

Healthcare ML

Model evaluation

Research leadership

Communication

Education

PhD in Computer Science or related field

MS with substantial research/industry experience

Tools

Python

TensorFlow

PyTorch

Distributed ML

Job description

AI Research Scientist – Healthcare Machine Learning

Remote | Long-Term Federal Research Program | Up to 25% Travel

US Citizen required - must be able to obtain a Public Trust

About the Opportunity

We are seeking an experienced AI Research Scientist to support an innovative, federally funded healthcare research initiative through the Advanced Research Projects Agency for Health (ARPA-H).

This opportunity focuses on advancing how artificial intelligence and machine learning can be used to understand health and developmental outcomes, identify meaningful patterns in complex biomedical data, and support more personalized interventions.

You will work at the intersection of advanced AI research, biomedical data science, federated learning, and privacy-preserving technology.

Unlike traditional AI engineering positions, this role offers the opportunity to help shape and evaluate cutting-edge research initiatives, collaborate with leading scientific and technical teams, and influence the development of AI approaches that could meaningfully improve health outcomes.

What You'll Do

• Serve as a technical subject matter expert in machine learning, federated AI, and privacy-preserving approaches to healthcare data.
• Evaluate advanced AI and computational modeling methodologies, including longitudinal modeling, causal inference, predictive analytics, and trajectory analysis.
• Assess federated learning architectures that enable collaboration across research institutions while protecting sensitive data.
• Provide scientific and technical guidance on integrating diverse biomedical datasets, including clinical, genomic, environmental, sensor, and other real-world data.
• Evaluate model accuracy, generalizability, interpretability, fairness, and privacy.
• Review research proposals, technical approaches, project milestones, budgets, and scientific deliverables.
• Collaborate with multidisciplinary research teams to ensure effective integration of data, AI models, and intervention research.
• Help advance innovative AI research supporting personalized healthcare and developmental outcomes.

Required Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a closely related discipline. Candidates with a relevant master's degree and substantial research or industry experience may also be considered.
• 7+ years of relevant research or industry experience, with additional experience required for more senior consideration.
• Experience developing or evaluating machine learning models using healthcare, biomedical, or other complex real-world datasets.
• Experience with federated learning, distributed machine learning, or privacy-preserving computational techniques.
• Strong understanding of longitudinal modeling, causal inference, statistical modeling, or related advanced analytical methodologies.
• Experience managing research initiatives, evaluating technical deliverables, or supporting project planning and budgets.
• Strong communication skills and the ability to evaluate and explain complex scientific concepts.
• US Citizenship required, with ability to obtain a federal Public Trust determination.

Preferred Qualifications

• Experience with multi-institutional biomedical research initiatives or distributed research networks.
• Familiarity with healthcare data interoperability standards such as OMOP, HL7 FHIR, or GA4GH.
• Experience integrating multimodal datasets, including genomics, clinical records, sensors, language, audio, or video.
• Knowledge of differential privacy, secure multiparty computation, or related privacy-enhancing technologies.
• Familiarity with responsible AI, research data governance, and healthcare privacy requirements.
• Research experience involving autism, neurodevelopment, or longitudinal health outcomes.
• Experience with federal research programs, scientific proposal evaluation, or technical program oversight.
• Location: Remote, United States
• Travel: Up to 25%, with approved business travel expenses covered
• Engagement: Initial 12-month W-2 contract supporting a five-year federal program, with potential for long-term extensions
• Benefits: Available W-2 benefits package, including 11 paid holidays and 10 PTO days
• Eligibility: US Citizenship required; federal Public Trust process required

Why This Opportunity?

This is an opportunity to contribute to ambitious, high-impact healthcare AI research without being limited to a traditional software development role.

You'll have the chance to influence the scientific direction of advanced AI initiatives, work alongside accomplished researchers, and help translate innovative computational approaches into meaningful healthcare applications.