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Principal Analyst, Chemical Informatics (Apply in minutes)

Takeda Pharmaceutical
Cambridge, MA Full Time
POSTED ON 1/22/2025
AVAILABLE BEFORE 4/22/2025

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  • Job Description

Job Posting Description

At Takeda, we are a forward-looking, world-class R&D; organization that

unlocks innovation and delivers transformative therapies to patients. By

focusing R&D; efforts on three therapeutic areas and other targeted

investments, we push the boundaries of what is possible to bring life-changing

therapies to patients worldwide.

  • Objective Purpose :
  • Work as part of a multi-disciplinary team of medicinal chemists, structural biologists, data scientists and biologists and provide computational expertise to advance drug discovery projects
  • Contribute to drug discovery efforts across various modalities including small molecules, PROTACs, RNA inhibitors, peptides, and more
  • Implement and execute innovative computational methodologies and tools such as AI, free energy, and cheminformatics approaches to support drug discovery efforts
  • Accountabilities :
  • Demonstrate an understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment.
  • Independently design, develop and execute research assignments, contributing to multiple projects
  • Identify, develop, validate, and implement innovative computational approaches that enhance research productivity and success
  • Provide key technical knowledge and input to project teams to drive decision-making in drug discovery projects
  • TechnicalFunctional (Line) Expertise :
  • Experience with a variety of computational tools and methodology including large-scale virtual screening, ligand ability analyses, homology modeling, quantum mechanics, pharmacophore elucidation, machine learning and more against common drug discovery targets (GPCRs, Kinases etc.)
  • Comprehensive experience in data mining and data analysis.
  • Familiarity with organic and synthetic chemistry concepts
  • Demonstrated ability to provide project teams with computational strategies to inform, influence, and prioritize designs for potencyselectivity and improve ADMETox endpoints
  • Experience developing and deploying design andor AI platforms to impact drug discovery
  • Familiarity with standard computational chemistry software including Schrodinger Suites,_ KNIME, and more
  • Proficiency in scientific scripting and programming languages including python
  • Experience with operations in Linux andor cloud environments
  • Leadership :
  • Identifies, plans and executes novel scientific projects and lead platform initiatives.
  • Decision-making and Autonomy :
  • Independently manages workload and expectations
  • Scientifically independent
  • Influence decision making within the department
  • Lead a computational chemistry initiative such as holo structure prediction, ligandability analyses, and large-scale virtual screening workflows
  • Interaction :
  • Conducts scientific presentations to internal audiences
  • Collaborate with cross functional scientists and across geographic areas
  • Innovation :
  • Maintain an interest in cutting-edge science and act proactively to acquire technologies that match the needs of the team
  • Receives high level instructions on all work, determines methods on new assignments, works closely with manager
  • EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS :
  • PhD degree in Chemistry or equivalent
  • Expected 2 years of experience in industry
  • Maintain an interest in cutting-edge science and act proactively to acquire technologies that match the needs of the team
  • Takeda Compensation and Benefits Summary
  • We understand compensation is an important factor as you consider the next

    step in your career. We are committed to equitable pay for all employees, and

    we strive to be more transparent with our pay practices.

  • For Location :
  • Boston, MA

  • U.S. Base Salary Range :
  • 133,000.00 - 209,000.00

    The estimated salary range reflects an anticipated range for this position.

    The actual base salary offered may depend on a variety of factors, including

    the qualifications of the individual applicant for the position, years of

    relevant experience, specific and unique skills, level of education attained,

    certifications or other professional licenses held, and the location in which

    the applicant lives andor from which they will be performing the job. The

    actual base salary offered will be in accordance with state or local minimum

    wage requirements for the job location.

    U.S. based employees may be eligible for short-term and or long-term

    incentives. U.S. based employees may be eligible to participate in medical,

    dental, vision insurance, a 401(k) plan and company match, short-term and

    long-term disability coverage, basic life insurance, a tuition reimbursement

    program, paid volunteer time off, company holidays, and well-being benefits,

    among others. U.S. based employees are also eligible to receive, per calendar

    year, up to 80 hours of sick time, and new hires are eligible to accrue up to

    120 hours of paid vacation.

  • EEO Statement_
  • Takeda is proud in its commitment to creating a diverse workforce and

    providing equal employment opportunities to all employees and applicants for

    employment without regard to race, color, religion, sex, sexual orientation,

    gender identity, gender expression, parental status, national origin, age,

    disability, citizenship status, genetic information or characteristics,

    marital status, status as a Vietnam era veteran, special disabled veteran, or

    other protected veteran in accordance with applicable federal, state and local

    laws, and any other characteristic protected by law._

  • Locations
  • Boston, MA

  • Worker Type
  • Employee

  • Worker Sub-Type
  • Regular

  • Time Type
  • Full time

  • Job Exempt
  • If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
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