Remote Otter LogoRemoteOtter

Principal Scientist R&D - Remote

Posted 3 weeks ago
All others
Full Time
IL, USA
$107,000 - $132,000 USD/year

Overview

We are seeking a highly experienced and innovative Principal Scientist to join our team at Tempus, focusing on precision medicine and advancing the healthcare industry through AI and real-world evidence.

In Short

  • Lead early-stage assay and device technology feasibility initiatives.
  • Drive early development to enable assets in Tempus's product portfolio.
  • Focus on technical evaluations and development of molecular chemistries.
  • Interface with bioinformatics and data teams for AI application development.
  • Contribute to multiomic technology evaluations in various life science areas.
  • Support bespoke research contracts with Pharma and Biotech customers.
  • Mentor and advise scientific staff.
  • Collaborate with diverse scientific and operational teams.
  • Design and execute complex experiments.
  • Communicate feasibility outcomes effectively.

Requirements

  • Ph.D. in Molecular Biology, Biochemistry, Genetics, or related field.
  • 8+ years of experience in a relevant scientific role.
  • Strong analytical and problem-solving skills.
  • Expertise in NGS-related technologies and applications.
  • Knowledge of multiomics, proteomics, and metabolomics.
  • Strong written and verbal communication skills.
  • Ability to collaborate cross-functionally.
  • Experience mentoring scientific staff.

Benefits

  • Full range of benefits including incentive compensation.
  • Restricted stock units.
  • Medical and other benefits.
Tempus logo

Tempus

Tempus is a pioneering technology company focused on precision medicine and transforming the healthcare industry through advanced AI solutions. Their proprietary platform integrates real-world evidence to provide physicians with real-time, actionable insights, ensuring that patients receive the most effective treatments tailored to their unique needs. Tempus is dedicated to advancing cancer precision medicine by leveraging multimodal datasets and cutting-edge machine learning techniques, fostering collaboration across various teams to drive innovation in drug development and clinical testing.

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