Computational Biologist, DSRE – Takeda Pharmaceuticals – Cambridge, MA

Sep 1st, 2016 | By | Category:
Job ID: 5932
Job date: 2016-09-01
End Date:

Company : Takeda Pharmaceuticals 

Country :

Role : Research Scientist 

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Job Description:
Design, implement and execute state-of-the-art bioinformatic tools for the collection, curation, analysis, mining and visualization of complex biological data
Identify pharmacological mechanisms and adverse outcome pathways that are related to the observation of in vivo toxicity, and propose actionable and testable solutions
Enable the design and selection of high-quality drug candidates through the identification of project-related safety liabilities and application of validated in silico and in vitro tools

Integrate into early discovery project teams, assist in the identification of on- and off-target pharmacology risks and identify de-risking strategies
Develop and apply bioinformatic tools to assist in the curation, analysis and visualization of large-scale, complex toxicological datasets from multiple sources
Work collaboratively on computational projects across multiple disciplinary areas, including DMPK, medicinal chemistry, drug safety and pharmacology
Design new computational biology tools and applications that are relevant to the design of drugs with the safest pharmacological profile
Drive the improvement of early risk assessment strategies through the identification of toxicological pathways that are applicable across all therapeutic areas
Develop and maintain global platforms that integrate internal and external bioinformatic tools and models Qualifications

PhD in computational biology, bioinformatics or equivalent
Passion to decrease safety related attrition in drug discovery
Demonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large and diverse, biological and toxicological datasets
Demonstrated ability to independently develop and implement computational workflows starting from raw data through analysis, hypothesis generation and visualization
Understanding of all aspects of drug discovery including cell and molecular biology, medicinal chemistry and basic principles of drug pharmacokinetics and metabolism
Demonstrated experience in leveraging in silico methodologies to drive drug discovery projects
Familiarity with proteomic and genomic data analysis and systems biology software
Experience with programming and scripting languages (e.g. Perl, C/C++, Java, R, Python)
Demonstrated experience and ability to work effectively in a matrix, global environment as part of a multidisciplinary team
Skilled in clearly communicating complex computational approaches and methodology to non-computational scientists
Pre-clinical or clinical drug safety experience is desirable
Strong, written, oral communication and influencing skills are essential

Typical office base TRAVEL REQUIREMENTS:
10%, both domestic and international possible

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Takeda is an EEO employer of minorities, women, disabled, protected veterans. For more information, visit

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