Senior Data Scientist
New
R
RaydarHealthcare technology
Remote (US)Full-TimeSenior
SalaryBase salary: USD 220,000 to 260,000 per year; Equity; Performance bonus
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Job Details
- Required Skills
- PythonSQLLLM
Requirements
- Bring experience in the commercial side of large pharmaceutical companies, such as healthcare provider targeting, field teams, or sales support; broader biopharma data science experience is also considered.
- Have experience building data and machine learning pipelines, including ETL/ELT and predictive modeling.
- Have a track record of taking models from concept through working production deployment.
- Have experience leading technical client delivery from early scoping and solution design through implementation and post-sale integration.
- Demonstrate strong Python and SQL skills and working knowledge of a major cloud provider.
- Be able to lead technical workshops, communicate with clients, and present findings to senior stakeholders.
- Be willing to take on varied responsibilities in a small, quick-moving team.
- Bonus: Have exposure to large language model applications or AI agents, including prompt design, guardrails, or observability.
- Bonus: Have experience in an early-stage or high-growth startup in a founding or senior technical capacity.
- Bonus: Have predictive modeling experience on commercial pharma problems, including specialty or rare disease launches.
Responsibilities
- Lead client relationships and the analytical lifecycle, from data onboarding and study planning through model deployment and refinement.
- Develop predictive models for audience targeting and marketing, including segmentation, propensity scoring, and campaign optimization.
- Plan commercially focused studies and justify analytical approaches to senior audiences.
- Run production models on a public cloud using automated deployment practices and ongoing performance monitoring.
- Partner with business, analytics, and IT counterparts at client organizations to shape practical analytical solutions.
- Share recurring client needs and themes with the internal product group.
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