AbbVie

Director, Computational Genomics

Employer
AbbVie
Location
Lake County, Illinois
Posted
Apr 10, 2021
Ref
2101890
Discipline
Science/R&D, Genomics
Required Education
Bachelors Degree
Position Type
Full time
About AbbVie
AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Director of Computational Genomics

 

The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human genetics, genome biology, and genomic medicine and has access to various population cohorts (over 1 million genomes). The GRC works across all R&D, and multiple areas such as process sciences and corporate strategy.

 

Within the GRC, the Department of Bioinformatics and Computational Biology is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. We have an exciting opportunity for Director of Computational Genomics based in North Chicago/Lake County (IL) reporting to the Global Head of Bioinformatics and Computational Biology in the GRC, as part of a group of more than 60 computationally focused scientists and engineers.

 

 

Key Responsibilities:

  • Lead Computational Genomics, which is comprised in part of the following computational teams: Population Cohorts, Emerging Technologies, Special Projects, and Calico collaboration.
  • Work closely with other bioinformatic TA heads (Immunology, Oncology, and Neuroscience) to maintain alignment of common vision across the bioinformatics organization.
  • Work closely with the Bioinformatics Engineering team to identify needs and test deployed solutions
  • Identify and recruit key talent to build a diverse and successful team
  • Identify and implement key collaborations with external partners, and evaluation of new opportunities and technologies
  • Sit on the leadership team of the Department of Bioinformatics and Computational Biology where you will help set direction and strategy for the broader group vision and maintain alignment across the bioinformatics organization.
  • Build and maintain world-class bioinformatics and computational biology capabilities.
  • Lead a team of Computational Biologists and Scientists specializing in bioinformatics who will analyze complex data sets.
  • Presentation – use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making
  • Adaptability – given our diverse mission you should be able to move fluidly between different project responsibilities

The level is commensurate with experience.


Qualifications

Basic:

  • Degree in Bioinformatics, Computational Biology, (Bio)Statistics, (Bio)Mathematics, Genetic Epidemiology, Computer Science, Engineering, Physics or Biology/Medicines/ Genomics related disciplines with a strong focus on genomics data analysis and computational aspects. The nature of the experience is more important than field of study. PhD with a minimum of 10-12+ years relevant work experience, MS with a minimum of 16-18+ years experience, or Bachelor’s with a minimum of 18-20+ years experience.
  • Proven track record of leadership, team management and building an organization.
  • Knowledge of translating and interpreting genomic data into relevant results.
  • Knowledge of programming languages (R or Python required) and working in a HPC Linux environment
  • Strong oral and written communication skills in a collaborative environment
  • Interest and experience in teaching/training/mentoring other scientists.

Preferred

  • Experience with large-scale research projects involving the integration of multiple data types
  • Experience or strong knowledge of aspects of causal inference, especially in genomics
  • Experience combining knowledge across multiple studies with approaches such as meta-analysis
  • Experience with new technologies/platforms and developing analysis solutions

Key Leadership Competencies:

  • Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance.
  • Learns fast, grasps the "essence" and can change course quickly where indicated.
  • Raises the bar and is never satisfied with the status quo.
  • Creates a learning environment, open to suggestions and experimentation for improvement.
  • Embraces the ideas of others, nurtures innovation and manages innovation to reality.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

 

 

 


Significant Work Activities
N/A
Travel
Yes, 10 % of the Time
Job Type
Experienced
Schedule
Full-time
Job Level Code
D
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.