This is a fully remote position, open to applicants in Brazil.

📋 Description

• Evaluate sequencing laboratories, biobanks, diagnostic providers, life sciences organizations, and research consortia that utilize genomics, transcriptomics, proteomics, or multi-omics data.

• Analyze dataset variations based on cohort composition, assay or sequencing techniques, availability of raw and processed data, quality documentation, and associated clinical or phenotype information.

• Manage NDAs, sample access, and DataLab assessments.

• Clarify data provenance, permitted applications, and consent or licensing limitations with relevant internal reviewers.

• Collaborate with the Commercial team on pricing strategies, licensing frameworks, and statements of work.

• Facilitate activation with Healthcare Operations and Solutions.

• Establish trusted partnerships.

• Identify underutilized molecular data assets.

• Suggest partnerships that address client needs and gaps within the omics portfolio.

⛳️ Requirements

• Proven experience in partnerships, business development, or data licensing within the life sciences sector, demonstrating a history of transforming external relationships into actionable outcomes.

• Direct experience in genomics with a solid understanding of transcriptomics, proteomics, and the overall multi-omics landscape.

• Familiarity with raw and processed sequencing formats such as FASTQ, BAM, and VCF.

• Capability to engage in discussions about dataset quality, provenance, and pertinent documentation with technical stakeholders.

• Comprehension of how cohort characteristics, assay methodologies, and associated clinical or phenotype information influence dataset utility.

• Ability to extract consent, de-identification, and data-use limitations for expert evaluation.

• Strong cross-functional coordination skills and sound judgment in a nascent environment.

• Background in AI data partnerships, research data commercialization, or sample evaluation processes.