Demo

Senior Bioinformatics Scientist

Integrated Resources, Inc ( IRI )
San Diego, CA Part Time
POSTED ON 1/7/2025
AVAILABLE BEFORE 4/2/2025

Responsibilities:

We are looking for a contractor with extensive experience in computational biology to fill a Senior Scientist role on our Companion Diagnostics team in Merck, San Diego.

If you have a strong foundation in analyzing transcriptomics and genetics data, along with a deep understanding of statistics and AI/ML, we'd love to hear from you. Your work will be instrumental in driving precision medicine and drug development by dissecting the molecular mechanisms underlying immune-mediated diseases.

We welcome applications from individuals with a track record of innovative translational research, regardless of their current setting (clinical, academic, or industrial).

  • Use computational and statistical methods to stratify patients and develop Companion Diagnostic algorithms.
  • Conduct in-depth analyses to uncover the key biological functions and disease mechanisms driving disease subtypes.
  • Contribute to accurately represent key disease states in model systems and other validation scenarios.
  • Work closely with discovery immunology teams in the iterative process of validation of therapeutic candidates and/or mechanistic hypotheses.
  • Summarize your findings and report conclusions to Merck stakeholders.


Qualifications:

  • Minimum qualification: Master’s degree with 4 years of experience in computational biology, bioinformatics or related fields.
  • Advance degree- PhD in computational biology, bioinformatics, or related fields.


Required experience and skills:

  • Experience in biotech or pharmaceutical industries is a plus.
  • Advanced skills in a high-level programming language such as R or Python for data analysis and visualization.
  • Expertise in downstream analysis for common NGS data types, such as WGS/WES/panel-seq, bulk RNA-seq. Expertise with single-cell RNAseq and spatial transcriptomics is a plus.
  • Basic understanding of disease biology and molecular/cellular mechanisms in immunology.
  • Expertise in contemporary machine-learning/AI methods is a plus.

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