Senior Data Scientist - Bioinformatics

Dinamo Biotechnologies
San Francisco, US
On-site

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed machine learning models for bioinformatics applications
  • Contributed to the field through publications or commercial products
Typical background
PhD or Master's degree in bioinformatics, computational biology, or related field3+ years of professional experience in data science and machine learning

Transferable backgrounds

  • Coming from Bioinformatics Scientist
  • Coming from Data Scientist

Skills & requirements

Required

BioinformaticsMachine LearningPythonHigh-dimensional 'omics Data AnalysisImmunology

Preferred

Expertise In 'omics, Liquid Biopsy, And Immunology

Stack & domain

BioinformaticsComputational BiologyData ScienceMachine LearningHigh-dimensional 'omics DataBioinformatics AnalysisLiquid BiopsyImmunologyPythonAIML

About the role

Original posting from Dinamo Biotechnologies via LinkedIn

Role Description

Dinamo Biotechnologies seeks exceptional candidates with expertise in data science and machine learning within the field of bioinformatics. This position encompasses the development of machine learning (ML) and artificial intelligence (AI) methodologies. This is a 100% hands-on, full-time, on-site role located at our laboratory in San Carlos, CA. Remote or hybrid work arrangements are not available.

Minimum Requirements

  • A Ph.D. or Master's degree in bioinformatics, computational biology, or a closely related discipline.
  • A minimum of 3 years of professional experience in data science and machine learning with high-dimensional 'omics data.
  • Demonstrated contributions to the field through publications, patents, or commercial products utilizing machine learning applications.

Required Proficiencies

  • Proficiency in bioinformatics analysis for 'omics, liquid biopsy and / or immunology.
  • Expertise and fluency in data science and machine learning utilizing Python.
  • Advanced programming skills in Python.

Source: Dinamo Biotechnologies careers (LinkedIn)

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