Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
About the role
- Research fellow analyzing Surgo Health’s AI-moderated healthcare trust dataset. Developing rigorous, publishable research on conversational interviews, survey methodology, and healthcare trust.
Responsibilities
- Develop a research project using Surgo Health's healthcare trust dataset
- Analyze trust dynamics across medical providers, health institutions, social media, and artificial intelligence
- Leverage qualitative dialogues gathered by Derin®, Surgo's AI-moderated interviewing system
- Compare standard survey approaches with AI-moderated conversational interviews
- Investigate trust erosion and recovery, public perspectives on AI in healthcare, decisions made against medical advice, institutional versus individual trust, or pharmaceutical industry perceptions
- Analyze survey methodology, interviewer design, conversation dynamics, and computational methods
- Prepare one journal manuscript for peer review
- Produce documented analysis code reproducing all reported figures from the dataset
- Participate in weekly project touch-point meetings
- Incorporate methodological guidance from Surgo Health's research team
- Obtain final manuscript sign-off from Surgo Health
Requirements
- Submit a 1–2 page research proposal
- Proposal should outline the core contribution, use of qualitative data, practical application, analytical plan, and publication goals
- Research questions must be answerable with the current dataset and not require funding for new data collection
- Projects should leverage conversational interview data and examine reasoning, experiences, or context beyond closed-ended items
- Proposals should contribute to contemporary thinking on trust and healthcare in the U.S.
- Proposals should aim for peer-reviewed publication with rigorous methodology
- Analytical plan should address key variables, panel-specific estimates, and randomized and observational factors
- Selected based on practical relevance, research depth, feasibility, alignment with Surgo Health research priorities, and publication potential
- Selected projects must comply with reporting standards
Benefits
- Weekly touch-point meetings on the project
- Full access to the study dataset
- Methodological and analytical support from Surgo's research team
- Onboarding resources, including the data dictionary and reporting standards
- Lead authorship and publication support
- Compensation of $6,000 upon successful submission of draft to Surgo
- Earliest project start date: 26th October 2026
- Paper completion: 19th February 2027
- Final manuscript submission: 26th February 2027
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Degree requirement
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