3 дня назад
Senior Data Analyst (AI)
103 600 - 129 450$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (AI): Building a next-generation AI analytics platform for R&D operations with an accent on Python, advanced SQL, data pipelines, and rigorous validation of AI-assisted development. Focus on designing scalable self-service analytics tools, optimizing complex data workflows, and ensuring production-grade code quality, data accuracy, and system reliability.
Location: Hybrid role based in San Carlos, California, with one day per week onsite
Salary: $103,600–$129,450 USD per year, plus additional compensation and benefits
Company
develops cell-free DNA testing and personalized genetic diagnostics for oncology, women’s health, and organ health.
What you will do
- Design, prototype, and build a modern AI analytics platform for R&D operations.
- Use Claude Code, Gemini, and other AI coding assistants to accelerate development while reviewing, debugging, testing, and validating generated output.
- Extract, transform, model, and analyze complex multi-source R&D data using optimized SQL and data pipelines.
- Create actionable insights, automated KPI workflows, and self-service analytics interfaces for R&D decision-making.
- Collaborate with R&D stakeholders and operational teams to define requirements and deliver robust data tools.
- Establish data validation frameworks, automated monitoring, and integrity checks.
Requirements
- At least 2 years of experience in data analysis, analytics engineering, or software and data platform development.
- Advanced Python proficiency for data analysis, pipeline development, and platform prototyping.
- Strong expertise in writing, optimizing, and maintaining complex SQL queries.
- Practical experience with AI developer assistants such as Claude Code, Gemini, or GitHub Copilot.
- Ability to independently validate data workflows, queries, automated outputs, and AI-assisted code for quality, security, and accuracy.
- Experience with clean, modular, reproducible, documented code and Git-based version control.
Nice to have
- Experience with Snowflake, dbt, or other modern cloud data warehouse and analytics engineering tools.
- Experience building web-based data applications with Streamlit, Dash, Gradio, or similar frameworks.
- Knowledge of molecular biology, biochemistry, bioinformatics, operations research, or related biotech fields.
- Proficiency in a Linux or Unix environment.
Culture & Benefits
- Comprehensive medical, dental, vision, life, and disability benefits.
- 401(k) with company match, equity awards, paid time off, and company holidays.
- Fertility care benefits and free testing for employees and immediate family members.
- Pregnancy and baby bonding leave, commuter benefits, wellness programs, and work-life benefits.
- Collaborative work with statisticians, geneticists, physicians, laboratory scientists, software engineers, and other specialists.
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