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Principal Scientist

Company: Amazon Workforce Staffing
Location: Cambridge
Posted on: September 17, 2020

Job Description:

Principal Scientist Predictive Toxicology, Computational Biology Company: Takeda

Location: Cambridge

Posted on: September 12, 2020

Job Description:

National Postdoctoral Association Career Center PrincipalScientist Predictive Toxicology, Computational Biology

T Principal Scientist Predictive Toxicology, ComputationalBiology Principal Scientist Predictive Toxicology and ComputationalBiology, Cambridge, MA

Are you looking for a patient-focused company that will inspireyou and support your career? If so, be empowered to take charge ofyour future at Takeda. Join us as a Principal Scientist PredictiveToxicology and Computational Biology in our Cambridge,Massachusetts office.

Here, everyone matter’s and you will be a vital contributor toour inspiring, bold mission. You will be empowered to provideleadership and global functional expertise for projects across theTakeda portfolio.

OBJECTIVES:

Scientific leader with expertise in computational biology,computational chemistry, and cheminformatics with 10 plus years inbiopharmaceutical companies supporting small molecule and newmodality project team discovery and progression includingdevelopment of technical capabilities.

Takeda Pharmaceuticals is seeking an Director ofPredictive/Computational Toxicology with 10+ years ofbiopharmaceutical drug development experience to lead our effortswithin Non-Clinical Drug Safety to enable our Safety by Designinitiative. This global role will lead 4 Medicinal Chemists and 2Cheminformatics experts to drive asset development and progression,while limiting safety risks across our portfolio of small moleculesand novel modalities for our four therapeutic areas. As a keymember of the research team the candidate will have the opportunityto make direct contributions to global drug discovery efforts byapplying computational chemistry and computational biology methodsto design molecules to support all aspects of safety in drugdiscovery.

Passionate about designing safety into new therapeuticsutilizing computational biology and computational chemistryapproaches

Provide broad strategic leader in developing design principlesfor safety of new therapeutic modalities

Build on experience leading Computational Biology and/orChemistry Team as part of matrixed, multi-disciplinarybiotherapeutic group working in biopharmaceutical or biotechnologydrug discovery project teams

Use expertise in the Application of drug design andcomputational design principles to biotherapeutic products toimprove safety and selectivity to advance projects at all phases ofdrug discovery for modalities including proteins, nucleic acids andsmall molecules

Partner with multidisciplinary and highly collaborativediscovery teams to optimize & accelerate the development of noveldrug candidates using advanced computational techniques.Collaborate with discovery chemists, structural biologists andbioinformaticians to maximize computational impact on structure-and property-based design

Develop testable hypotheses to understand safety-related SAR byassimilating and interpreting data using modeling and data-miningtechniques including machine learning and AI.

Develop experience applying computational design principlesincluding structural biology understanding to improving the safetyof synthetic biology derived therapeutics including oligotherapies, protein and cell therapies through novel nucleic acidand protein design.

Plays a leading scientific role on global, cross-portfolio,project team(s), setting high standards for rigor of thought

Provides scientific contributions which have significant impacton portfolio progression and development of technical capabilities,based on benchmarking to industry best-in-class

Acts as internal key opinion leader for his/her area oftechnical expertise

Supports or identifies BD opportunities to enhance projectprogression, or functional capability expansion, with clearapplication to specific portfolio needs

Continual development of scientific expertise, particularlythrough external interactions, linked to specific deliverables

Contributes to development and implementation of scientificstrategy, through tangible deliverables; challenges dogmas andinternal 'blind spots'; actively pressure-tests ideascross-functionally and via external network

Establishes a strong external reputation, through scientificpublication and presentation

Requirements

EDUCATION, EXPERIENCE, KNOWLEDGE AND SKILLS:

Passionate about developing new therapeutic agents that can beused safely in our patients

PhD degree in a scientific discipline with 10+ years ofComputational Biology, Structural Biology, Computational Chemistry,Chem-Informatics, in Biopharmaceutical Drug Discovery

Outstanding expertise and depth of knowledge withinComputational Biology, Structural Biology, Chem-Informatics, orMedicinal Chemistry, Biochemistry as applied to Nonclinical SafetyAssessment

Keeps up with the up-to-date scientific advancement (e.g.competitive landscape, new technology, new research portfolio, andnew partnership)

Drives external consortia and partnerships

LICENSES/CERTIFICATIONS:

PHYSICAL DEMANDS:

Manual dexterity required to operate office and labequipment

Carrying, handling and reaching for objects up to 25 lbs

Prolonged standing and/or sitting

Exposure to hazardous/toxic/dangerous chemicals

TRAVEL REQUIREMENTS:

Up to 20% travel, both domestic and internationally may berequired.

WHAT TAKEDA CAN OFFER YOU:

401(k) with company match and Annual Retirement ContributionPlan

Company match of charitable contributions

Relocation Assistance

Health & Wellness programs including onsite flu shots and healthscreenings

Generous time off for vacation and the option to purchaseadditional vacation days

Location:

Cambridge, Massachusetts, United States

Position Title: Principal Scientist Predictive Toxicology,Computational Biology

Company Name: Takeda

Job Function: Bioinformatics,

Informatics,

Senior Research Associate/Scientist, Biology Goldfinch Bio

Cambridge, Massachusetts, United States

T

TAkeda

Cambridge, Massachusetts, United States

P

Computational Scientist, Machine Learning

15800 Crabbs Branch Way, Rockville, Maryland 20855 (301)984-4800

Keywords: Takeda, Cambridge , Principal Scientist Predictive Toxicology, Computational Biology, Other , Cambridge, Massachusetts

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