Senior Director Translational Research and Data...
@ Tempus AI

New York, NY
$255,000
On Site
Full Time
Posted 22 days ago

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Job Details

About the Role

Tempus AI is seeking a strategic and experienced leader for the role of Senior Director Translational Research and Data Solutions. In this client-facing position, you will integrate scientific and commercial functions, cultivate pharmaceutical partnerships, and drive revenue through the Life Sciences Data team.

Key Responsibilities

  • Strategic Partnerships and Revenue Growth: Cultivate and expand relationships with pharmaceutical and biotechnology clients, develop targeted solutions, and drive revenue growth.
  • Scientific and Technical Leadership: Oversee project execution teams, guide computational and statistical strategies, and ensure scientific quality of analyses.
  • Collaboration and Communication: Work with internal teams to align business goals and communicate technical plans to diverse stakeholders.

Qualifications

Advanced degree (PhD or MD preferred) with skills in computational biology, bioinformatics, or related fields. Minimum 5+ years in life sciences R&D or Real-World Data environments. Proficiency in SQL, Python, R and strong leadership, relationship-building skills are required.

Additional Information

Salary ranges vary by location with competitive benefits, including incentive compensation and restricted stock units. The role may be remote for candidates based in or near Los Angeles, with adherence to applicable legal standards when considering candidates with criminal histories.

Key skills/competency

  • Precision Medicine
  • Translational Research
  • Data Solutions
  • Pharmaceutical Partnerships
  • Revenue Growth
  • Computational Biology
  • SQL
  • Python
  • R
  • Leadership
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How to Get Hired at Tempus AI

🎯 Tips for Getting Hired

  • Research Tempus AI's culture: Study their mission, values, and recent news.
  • Customize your resume: Highlight translational research and data solutions experience.
  • Showcase technical skills: Emphasize SQL, Python, and R proficiency.
  • Prepare examples: Detail successful pharma partnerships and revenue growth cases.

📝 Interview Preparation Advice

Technical Preparation

Review SQL database queries and optimization.
Practice Python data analysis projects.
Brush up on R statistical methodologies.
Study computational biology case studies.

Behavioral Questions

Describe a challenging partnership negotiation.
Explain a time you led a cross-functional team.
Discuss how you handle critical stakeholder feedback.
Share an experience of strategic problem solving.

Frequently Asked Questions