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About the Role
We are seeking a Senior Data Scientist to own the development, validation, and operationalization of diagnostic AI models for rare diseases. This role will drive analytical rigor in our testing programs and influence product decisions through data insights.
Responsibilities
- Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models, from feature engineering through production deployment.
- Run prospective testing experiments, applying diagnostic models to undiagnosed patients and coordinating testing to improve model performance.
- Build and maintain PG's synthetic patient data pipeline for research programs and model development.
- Optimize the patient intake experience using NLP and multimodal data analysis to maximize data quality and conversion.
- Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and performance monitoring.
- Conduct ad hoc strategic analyses to inform product prioritization, causality assessment, and generate customer-facing program insights.
- Establish MLOps infrastructure, including model monitoring, drift detection, API observability, and operational processes.
- Conduct blue sky research initiatives to create value from data.
- Collaborate with Data Engineering to build a robust, scalable data foundation.
Requirements
- 7+ years of experience in data science, machine learning engineering, or a closely related field.
- Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL.
- Demonstrated end-to-end ML experience, including problem definition, feature engineering, validation, deployment, and monitoring in a production environment.
- Experience with NLP techniques and applying language models to real-world problems.
- Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI).
- A track record of operating with high ownership in lean, fast-moving environments.
- Strong analytical communication skills, capable of translating complex model outputs into clear, actionable narratives for diverse audiences.
- Empathy and a patient-focused motivation to have a positive impact on humanity.
- Comfort in a fast-paced, often ambiguous environment with rapid change.
- Action-oriented and excited to build a company from the ground up.
Skills
- Python
- pandas
- NumPy
- scikit-learn
- PySpark
- SQL
- Machine Learning
- NLP
- Language Models
- Prompt Engineering
- AI API Performance Evaluation
- MLOps
- Model Monitoring
- Drift Detection
- API Observability
Location
- Downtown SF
Work Type
- Hybrid
- Work from anywhere (up to 4 weeks a year)
Experience Level
- Senior
Salary/Compensations
- $180,000-$230,000 annually
Benefits
- Competitive early-stage equity grants
- Generous Flexible Time off policy
- Parental Leave Benefits (12 weeks for both birthing and non-birthing)
- Health Benefits including medical, dental, vision, therapy, FSA, and 401k
- Company-sponsored team lunch every Thursday
- Pet-friendly office
About the Company
- Probably Genetic is changing the lives of patients living with severe, complex diseases by using a data platform to develop and launch treatments.
- Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients.
- We help patients access diagnoses, clinical trials, and treatments as early as possible.
- We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves.
- We are developing cutting-edge solutions in bioinformatics, AI, and drug development.
- We have raised multiple rounds of funding from investors including Threshold, Khosla, and Y Combinator.
- We offer competitive salaries, comprehensive benefits, and meaningful early stage equity.
Equal Opportunity
- Probably Genetic is committed to fostering a welcoming and inclusive work environment for people of all genders, sexuality, ethnicity, socioeconomic background and life experiences.
- We urge candidates of all backgrounds to apply.
- If you require specific accommodations as you interview or consider working with us, please let us know.