Senior Data Scientist - 407284

Atrium; Los Angeles (CA); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Generous PTO

Professional development stipend

Job summary

Atrium, a small biotech company focused on neurodegeneration, is seeking a hands-on Senior Data Scientist to own and build the company’s scientific data platform and analytics infrastructure.

You will transform experimental data into decision-ready insights while partnering with scientists, engineers, and leadership, owning data ingestion, ML pipelines, and reproducible workflows across AWS and related tools.

Qualifications

• 4+ years of industry experience in data science or related roles.
• Strong Python and statistics skills.
• Experience building analytical pipelines and reproducible workflows.
• Experience with version control, testing, and documentation.
• Experience with LLM-based tools or automations.
• Data-driven mindset applied to experimental datasets.

Responsibilities

• Own AWS-based scientific data infrastructure including ingestion, organization, QC, metadata, and access.
• Develop internal AI/LLM tools and analytical workflows.
• Build ML/CV pipelines for microscopy/histology image analysis.
• Establish automated data quality, validation and error-checking processes.
• Analyze diverse datasets using statistical methods to derive insights.
• Build production-ready analytical pipelines.
• Collaborate with Engineering and Scientific teams to align predictions with experiments.
• Maintain ownership and autonomy over the data function.

Skills

Python

Applied statistics

Data pipelines

LLM tools

Version control

Testing

Documentation

ML/Computer vision

Image segmentation

Education

Master's or PhD in a quantitative field

Tools

AWS

S3

Job description

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.