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Associate Director - Computational Biology

Employer
Paramount Recruitment
Location
Ridgefield, Connecticut, US
Salary
Competitive
Closing date
Dec 12, 2022

View more

Sector
Academic / Research
Field
Informatics / GIS
Discipline
Statistics, Biology
Salary Type
Salary
Employment Type
Full time
Associate Director - Computational Biology

Hybrid: Connecticut

Are you ready to lead the cutting edge of medicine?

Join a rapidly growing, global pharmaceutical company's Cardiometabolic Diseases Research (CMDR) department as an Associate Director . Working within drug discovery, your specific focus will be on Non-Alcoholic SteatoHepatitis (NASH).

In your new role, you will lead the strategy and implementation of data and analytics-driven drug discovery approaches for the CMDR department, while bringing together the scientific questions faced by Cardiometabolic Diseases Research. As Associate Director, you will lead a small, on-site team of computational biologists, while also interacting with CMDR leadership to align with department's strategy. You will also coordinate with Computational Biology, IT, and other department experts globally to ensure CMDR bioinformatics needs are met.

Requirements

* Ph.D. in Bioinformatics OR Biology, Chemistry or Biostatistics with a postdoc in Bioinformatics and 7 + years of relevant experience in drug discovery or biomedical research environment
* Proven track record of designing, leading, and managing complex computational research projects.
* Expert in bioinformatics tools and methods and high-level expertise in multi-modal omics data integration, single cell omics, GWAS, and machine learning/deep learning.

Benefits

401K Match, 15% Bonus, Medical Insurance, Relocation support and Generous PTO

Please feel free to contact Bec Magri for a confidential discussion about this role at rmagri@pararecruit.com, or apply to this advert and send along your CV. We look forward to hearing from you!

Keywords: Computational Biology, Bioinformatics, Immunology, Translational Bioinformatics, R, Python, GWAS, Machine Learning, CMDR, NASH, Drug Discovery

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