Probably Genetic

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead the end-to-end development, validation, and deployment of predictive diagnostic AI models for rare diseases, from feature engineering to production, coordinate prospective testing with undiagnosed patients, build scalable data pipelines and NLP-driven patient intake improvements, and inform product decisions through data-driven insights and MLOps practices.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models — from feature engineering through production deployment – that power program eligibility decisions and clinical decisions for patients.
•Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance.
•Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle.
•Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion.
•Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring.

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityParential Leave

Key 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: you have taken models from problem definition through 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).

Experience:7+ yearsHealthcareBioinformaticsRare diseaseAI

Skills:Analytical thinkingCommunicationOwnershipProblem-solvingCollaboration

Tech Stack:PythonPandasNumPyScikit-learnPySparkSQLNLPOpenAIDatabricksMLOpsAPI

Company Brief

Probably Genetic

Probably Genetic uses AI and clinical-grade genetic testing to help undiagnosed rare-disease patients get faster diagnoses, partnering with patient groups and drug developers to run sponsored testing programs and connect patients to treatments and trials.

Industry: Diagnostics

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor

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Probably Genetic

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models — from feature engineering through production deployment – that power program eligibility decisions and clinical decisions for patients.
•Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance.
•Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle.
•Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion.
•Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring.

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityParential Leave

Key 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: you have taken models from problem definition through 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).

Experience:7+ yearsHealthcareBioinformaticsRare diseaseAI

Skills:Analytical thinkingCommunicationOwnershipProblem-solvingCollaboration

Tech Stack:PythonPandasNumPyScikit-learnPySparkSQLNLPOpenAIDatabricksMLOpsAPI

Company Brief

Probably Genetic

Industry: Diagnostics

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor