Senior Biomedical Data Analyst

4 weeks ago


San Diego, California, United States Sapient Bioanalytics, LLC Full time

About Sapient Bioanalytics, LLC

We are a fast-growing early-stage biotech company headquartered in San Diego, CA. Our focus is on delivering multi-omics services to accelerate drug development and transform personalized medicine.

Our Mission

Combining state-of-the-art mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies.

The Role

We are seeking a highly skilled Senior Biomedical Data Analyst to support our biomarker discovery service offerings and R&D efforts with insights gained from analyzing clinical and multi-omics data.

Your Responsibilities

  • Analyze datasets, mine databases, and create code according to Company-defined good practice to drive optimization and improvement within and across projects.
  • Apply statistical and machine learning methods with rigor to high-dimensional omics and clinical data to derive insights.
  • Collaborate with scientists and clinicians internally and externally to investigate scientific and medical problems with rigorous analyses and critical thinking.
  • Communicate methods used, data insights, and scientific findings to collaborators and clients with clarity.

Requirements

  • MS or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field.
  • 2+ years of hands-on experience in statistical analysis and data mining, as well as modeling and coding.
  • Deep knowledge and understanding of statistical methods and basic machine learning algorithms.
  • Life science domain knowledge and good intuition in applying appropriate data analysis approaches to best address questions given the scientific context.
  • Experience in clinical or epidemiological study data analysis is preferred.
  • Consistent use of git or other code management tools is preferred.
  • Proficiency in Python or R for product-level code development.
  • Strong use of clean code principles, testing principles, and understanding of CI/CD processes is preferred.
  • Experience with database query language (e.g. SQL) and cloud computing (e.g. AWS) is preferred.
  • Excellence in communicating findings by visualizing the results, composing presentation slides, and forming a scientific report.
  • Self-motivated, dedicated, and accountable.
  • Curious and eager to grow, thriving in a dynamic and intellectually challenging environment.
  • Great team player.

Location and Salary

Position Location – San Diego, California (Sorrento Valley)

Position Type – Full-time, on-site

Estimated Compensation Range: $100K-$135K per year, depending on qualifications and experience.



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