Bioinformatics Scientist: TF Discovery in Reprogramming
e184
Portland (OR)
On-site
USD 85,000 - 120,000
Full time
14 days+
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Benefits offered by this job
Competitive salary + equity participation
Comprehensive Medical, Dental, Vision, and 401(k) with company match
20 days PTO + 11 paid holidays
Job summary
e184 is looking for a Bioinformatics Scientist to lead computational analyses in multi-modal genomics, focusing on gene regulatory networks and cellular reprogramming. Ideal candidates will have a PhD in Bioinformatics or Computational Biology and strong expertise in RNA-seq analysis. This role involves close collaboration with experimental teams to translate computational predictions into experimental designs, making significant contributions to advancements in human fertility and reproductive medicine.
Qualifications
Demonstrated track record applying computational TF ranking to cellular reprogramming.
Hands-on experience with established GRN inference methods.
Strong publication record in related fields.
Responsibilities
Lead end-to-end TF discovery for cellular reprogramming.
Analyze multi-modal genomics data to identify transcription factors.
Collaborate closely with wet lab teams on experimental designs.
Skills
Computational TF ranking
GRN inference
Multi-platform RNA-seq expertise
Programming in Python and R
Statistical analysis for high-dimensional data
Education
PhD in Bioinformatics, Computational Biology, or related field
Tools
Scanpy
Seurat
Cloud platforms
Job description
e184 is looking for a Bioinformatics Scientist to lead computational analyses in multi-modal genomics, focusing on gene regulatory networks and cellular reprogramming. Ideal candidates will have a PhD in Bioinformatics or Computational Biology and strong expertise in RNA-seq analysis. This role involves close collaboration with experimental teams to translate computational predictions into experimental designs, making significant contributions to advancements in human fertility and reproductive medicine.