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Atrium · Los Angeles, CA

Senior Data Scientist - 407284

seniorfull time$150,000 – $180,000 / yearPosted yesterday
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Client Overview

Our client is a small biotech company focused on neurodegeneration. They are currently looking to add a Senior Data Scientist to their team.

Salary/Hourly Rate

$150k - $180k

Position Overview

Our client is seeking a hands-on Senior Data Scientist to own and build the company’s scientific data platform and analytics infrastructure. The Senior Data Scientist will transform experimental data into reliable, decision-ready insights while partnering closely with scientists, engineers, and leadership.

Responsibilities Of The Senior Data Scientist

- Own AWS-based scientific data infrastructure, including data ingestion, organization, quality control, metadata, and access.

- Develop internal AI/LLM tools, analytical workflows, and research knowledge systems.

- Build and maintain ML/computer-vision pipelines for microscopy and histology image analysis.

- Establish automated data-quality, validation, and error-checking processes.

- Analyze behavioral, imaging, histology, and omics datasets using statistical methods.

- Build reproducible, production-quality analytical pipelines.

- Partner with the Engineering and Scientific teams to connect computational predictions with experimental results.

- The Senior Data Scientist will have significant ownership and autonomy across the data function.

Required Experience/Skills For The Senior Data Scientist

- 4+ years of relevant industry experience.

- Strong Python and applied statistics skills.

- Experience building analytical/data pipelines and reproducible workflows.

- Experience with version control, testing, documentation, and quality controls.

- Experience building LLM-based tools, assistants, or automations.

- AWS/cloud data engineering experience, including S3.

- Experience with ML/computer vision and image segmentation.

- Strong ability to work with experimental/scientific datasets.

Education Requirements

- Master's degree or PhD in Data Science, Statistics, Mathematics, Engineering, or another quantitative discipline is preferred.

Benefits

- Medical, dental, and vision.

- HSA.

- 401(K) with 3% company contribution.

- Generous PTO.

- 12 weeks of parental leave.

- Professional development stipend.

- Complimentary office food and beverages.

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