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Senior Data Scientist

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Atrium Staffing
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below

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.

Job Wrapping : #LI-AJ3

Position Requirements
10+ Years work experience
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