Senior Data Scientist

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

Benefits offered by this job

Medical, dental, vision

HSA

401(k) with company contribution

Generous PTO

12 weeks parental leave

Professional development stipend

Complimentary office food & beverages

Job summary

Atrium Staffing is seeking a hands-on Senior Data Scientist for a small biotech client in Los Angeles. The role owns the scientific data platform, builds analytics infrastructure, and delivers production-grade data pipelines for decision-ready insights.

Requirements include 4+ years in industry, strong Python/statistics, experience with data pipelines, ML/vision, and AWS S3. Master’s/PhD preferred. Competitive salary and benefits offered.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Statistics

Data pipelines

LLM tools

AWS S3

Machine Learning

Computer vision

Image segmentation

Experimental data

Education

Master's or PhD in Data Science/Statistics/Mathematics/Engineering

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.

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