Your responsibilities will include, but are not limited to:

• Leading a small team and working within a larger genetics computational group to plan, develop, and implement human genetic strategies for drug discovery projects in alignment with department and company goals
• Work with interdisciplinary project teams across a variety of disease areas to deliver (fit-for-purpose) human genetics analyses for drug discovery impact
• Guiding the use of population scale biobanks and serving as a champion for a human genetic cohort
• Coaching and mentoring the next generation of genetics experts
• Bringing scientific curiosity and enthusiasm to make discoveries in a collaborative and team-focused environment
• Engaging as an insightful and proactive member of the DSc Human Genetics Data Science team to shape the strategic direction of the team and broader BR genetics efforts

What you’ll bring to the role:

• PhD with 7+ years of post-graduate work or equivalent experience in genetics
• Experience analyzing and interpreting human genetics data is a must
• Extensive experience with the management and analysis of large biobank data is a must and experience of multiple biobanks is preferred.
• Strong leadership skills and experience leading computational scientists
• Drug discovery experience in an industry stetting is encouraged but not required
• Experience with additional ‘omics data (RNA sequencing, epigenetics, proteomics) and NGS data
• A curiosity for emerging technologies and methods
• Exceptional collaboration, communication and problem-solving skills, learning agility, and an interest in engaging with peers for the design and implementation of new ideas
• A strong publication record
• Fluency in Python, R, SQL and/or other relevant programming languages
  

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve ​