Bioinformatics Scientist: Shape Next-Gen Cell Therapy

Gameto

United States

On-site

USD 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Opportunity to work with top scientists and engineers
Contribution to women's health innovation
Inclusive work environment

Job summary

A pioneering biotechnology company in women's health is seeking a Bioinformatics Scientist to lead the analysis of multi-omics data and contribute to the development of innovative therapeutics. This role requires strong programming and statistical modeling skills, as well as the ability to collaborate effectively in a cross-functional environment. The ideal candidate will have experience in analyzing sequencing datasets and a passion for advancing women's health through data-driven insights.

Qualifications

  • 1–3+ years of hands-on experience in bioinformatics, preferably in biotech.
  • Proficiency in analyzing single-cell and bulk RNA sequencing data.
  • Experience with AI/ML frameworks and their application in analytics.

Responsibilities

  • Analyze single-cell RNA sequencing data to identify cell state transitions.
  • Integrate multi-omics datasets to define cell identity.
  • Support experimental design and statistical analysis for studies.

Skills

Analysis of high-throughput sequencing data
Programming in R and/or Python
Statistical modeling techniques
Machine learning and AI frameworks
Strong communication skills

Education

Bachelor's Degree or Masters in Bioinformatics, Computational Biology, Systems Biology

Tools

AWS

Job description

A pioneering biotechnology company in women's health is seeking a Bioinformatics Scientist to lead the analysis of multi-omics data and contribute to the development of innovative therapeutics. This role requires strong programming and statistical modeling skills, as well as the ability to collaborate effectively in a cross-functional environment. The ideal candidate will have experience in analyzing sequencing datasets and a passion for advancing women's health through data-driven insights.
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