Scientist, Translational Research
Scientific Search
Behavioral Health Market Context
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Benefits
Competitive salary + exceptional benefits + a mission that truly matters
Job Description
Scientist, Translational Research
Remote OR Hybrid
Join a mission-driven powerhouse transforming the future of cancer research. My client — one of the world’s most impactful forces in multiple myeloma innovation — is searching for a bold, curious, systems-level thinker ready to turn data into discoveries that change lives.
As a Scientist in Translational Research, you’ll work at the cutting edge of multi-omic analytics, computational oncology, and precision medicine. Think large-scale genomics, single-cell sequencing, immune profiling, and real-world clinical data — all channeled into one of the richest myeloma data ecosystems ever built. Here, your code won’t sit in a repository — it will directly inform how patients are treated.
Why You Should Apply
• Shape next-generation biomarker and therapeutic insights.
• Collaborate with leading academic and biopharma partners.
• Contribute to high-visibility publications, abstracts, and conferences.
• Competitive salary + exceptional benefits + a mission that truly matters.
What You’ll Do
• Lead multi-omic analyses and computational workflows.
• Enhance a global data-sharing platform used by top researchers.
• Interpret complex datasets to uncover biological drivers of disease.
• Present findings internally and across scientific forums.
About You
• PhD with 2+ years postdoc in bioinformatics, cancer genomics, or related fields.
• Strong Python/R, AWS/Linux, and multi-omics experience.
• Strong communicator with a publication track record.
How To Apply
Send your resume to [email protected] and reference Job #19856.
Remote OR Hybrid
Join a mission-driven powerhouse transforming the future of cancer research. My client — one of the world’s most impactful forces in multiple myeloma innovation — is searching for a bold, curious, systems-level thinker ready to turn data into discoveries that change lives.
As a Scientist in Translational Research, you’ll work at the cutting edge of multi-omic analytics, computational oncology, and precision medicine. Think large-scale genomics, single-cell sequencing, immune profiling, and real-world clinical data — all channeled into one of the richest myeloma data ecosystems ever built. Here, your code won’t sit in a repository — it will directly inform how patients are treated.
Why You Should Apply
• Shape next-generation biomarker and therapeutic insights.
• Collaborate with leading academic and biopharma partners.
• Contribute to high-visibility publications, abstracts, and conferences.
• Competitive salary + exceptional benefits + a mission that truly matters.
What You’ll Do
• Lead multi-omic analyses and computational workflows.
• Enhance a global data-sharing platform used by top researchers.
• Interpret complex datasets to uncover biological drivers of disease.
• Present findings internally and across scientific forums.
About You
• PhD with 2+ years postdoc in bioinformatics, cancer genomics, or related fields.
• Strong Python/R, AWS/Linux, and multi-omics experience.
• Strong communicator with a publication track record.
How To Apply
Send your resume to [email protected] and reference Job #19856.
Qualifications
- •Shape next-generation biomarker and therapeutic insights
- •PhD with 2+ years postdoc in bioinformatics, cancer genomics, or related fields
- •Strong Python/R, AWS/Linux, and multi-omics experience
- •Strong communicator with a publication track record
Responsibilities
- •As a Scientist in Translational Research, you’ll work at the cutting edge of multi-omic analytics, computational oncology, and precision medicine
- •Collaborate with leading academic and biopharma partners
- •Contribute to high-visibility publications, abstracts, and conferences
- •Lead multi-omic analyses and computational workflows
- •Enhance a global data-sharing platform used by top researchers
- •Interpret complex datasets to uncover biological drivers of disease
- •Present findings internally and across scientific forums
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