S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Principal Scientist, Pharmacokinetics (PK)
XX
Principal Scientific Data ScientistOakwell Hampton Group • United States
Postuler Maintenant
XX

Principal Scientific Data Scientist

Oakwell Hampton Group
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

We are a fast-growing startup backed by an Nvidia VP, working alongside top AI labs and global tech companies to build the foundational data layer that will power the next generation of AI-driven drug discovery. We are conducting a confidential search for a senior scientific leader to oversee and execute our data strategy. We need a scientist who can lead—not just manage—and who brings a wealth of "big pharma" clinical experience to the table. The Role As our Principal Scientific Data Scientist, you will ensure our data is world-class, rigorous, and ready to train the AI models that will discover tomorrow's breakthrough therapeutics. You will: Lead the day-to-day operations and strategic direction of our biological data layer across multiple concurrent projects. Leverage your deep expertise in bioinformatics and Real-World Data (RWD) to translate complex clinical needs into precise data specifications. Draw heavily on your background in global pharma clinical programs to personally examine, validate, and enforce the scientific rigor of our data generation pipelines. Manage a distributed network of PhD-level expert contractors to recruit, brief, review, and iterate on scientific data generation. The Ideal Candidate Education:
Ph.D. in Bioinformatics, Computational Biology, Pharmacology, or a closely related life sciences field. Domain Expertise:
Extensive experience working within global pharmaceutical companies, with a strong focus on clinical programs and translational research. Technical Skills:
Deep bioinformatics expertise with a proven track record of handling Real-World Data (RWD), multi-omics datasets, and clinical trial data analysis pipelines. Leadership:
Demonstrated experience leading computational teams, managing complex data operations, and taking ownership of end-to-end data quality. Mindset:
Detail-obsessed, fast-moving, and possessing a "builder" mentality—you are a scientist first who understands the biology and can build the infrastructure to support it. Why Join?
This is an opportunity to join a founding team with real equity and make a massive impact at the most exciting intersection in biotech today: AI and drug discovery. If you are a seasoned pharma scientist who is tired of big pharma bureaucracy and wants to build infrastructure that matters, we want to hear from you
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.