Astellas Pharma US, Inc

Computational Chemistry Lead

Astellas Pharma US, Inc$119K — $170K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Computational Chemistry, Cheminformatics, Medicinal Chemistry, or related field; or M.S. with 5+ years of relevant industry experience.
  • Proven expertise in supporting small molecule drug discovery via computational methods.
  • Familiarity with AI-driven approaches in drug design.
  • Proficient in key software such as Schrodinger, MOE, OpenEye, and Python programming.
  • Strong grasp of organic and synthetic chemistry.
  • Experience managing external partnerships with CROs.
  • Up-to-date knowledge of advances in drug discovery and emerging technologies.

Responsibilities

  • Apply molecular modeling techniques for compound optimization.
  • Utilize cheminformatics and machine learning to analyze compound profiles and predict behavior.
  • Develop generative models and pipelines for efficient compound design.
  • Curate chemical libraries and manage data for SAR/ADME analysis.
  • Lead projects by setting clear goals and plans.
  • Design novel compounds based on pharmacokinetic properties and optimize leads.
  • Analyze and report on data from both simulations and experimental results.
  • Collaborate with various teams to advance drug candidates through the development process.
  • Identify and manage intellectual property through documentation and filings.
  • Foster innovation in a collaborative team environment while integrating cutting-edge technologies.

Benefits

  • Medical, Dental, and Vision Insurance
  • Generous Paid Time Off, including vacation, sick leave, and national holidays
  • 401(k) match and annual contributions
  • Company paid life insurance
  • Annual bonus and quarterly sales incentives
  • Long-term incentive plans for eligible employees
  • Company fleet vehicle for certain roles
  • Referral bonus program
Full Job Description
Computational Chemistry

Purpose & Scope

This role supports drug discovery efforts by applying advanced computational chemistry techniques to design and optimize small-molecule therapeutics. The position requires close collaboration with internal teams and external CROs to accelerate candidate selection and improve research productivity. The Computational Chemist will contribute to strategic decisions and innovation across multiple therapeutic areas

Role and Responsibilities
  • Computational Drug Design: Apply molecular modeling, docking, molecular dynamics, homology modeling, and structure-based design to guide compound optimization
  • Use cheminformatics and machine learning tools to analyze SAR, ADME/Tox profiles, and predict compound behavior.
  • Develop generative models, reinforcement learning pipelines, and predictive analytics for compound design and optimization
  • Curate chemical libraries, manage data pipelines, and support SAR/ADME analysis
  • Serve as lead or co-lead in projects, setting project goals and defining plans
  • Drug Design & Synthesis: Design novel compounds based on ADME and SAR principles; optimize lead molecules for potency, selectivity, and pharmacokinetics.
  • Data Analysis & Reporting: Analyze large datasets from simulations and experimental data with scientific rigor; interpret computational results and prepare detailed research reports and present findings internally and externally to technical and non-technical audiences.
  • Cross-functional Collaboration: Work closely with medicinal chemistry, biology, pharmacology, protein science, and preclinical teams to ensure drug candidates meet efficacy and safety standards. Participate in program-related meetings and contribute strategic insight
  • Intellectual Property: Identify and protect IP through patent filings and strategic documentation. Ensure accurate documentation of compound synthesis and project data
  • Foster a collaborative, transparent, and creative team environment that drives innovation and invention. Close partnership with colleagues in Japan is expected.
  • Technology Integration: Explore and apply cutting-edge technologies and global scientific trends to enhance research capabilities
  • Stay current with scientific literature and emerging technologies
  • Manage team priorities and resources in alignment with the company's overall I-Lab strategy and objectives.

CRO Management
  • Oversee computational chemistry execution at CROs, including troubleshooting and performance enhancement
  • Evaluate and onboard new CROs to improve cost-efficiency and research quality
  • Maintain weekly communication and productivity tracking with CRO teams


Required Qualifications:
  • Ph.D. in Computational Chemistry, Cheminformatics, Medicinal Chemistry, or related field; or M.S. with 5+ years of industry experience
  • Proven experience in computational support of small molecule drug discovery.
  • Familiarity with AI-driven drug design
  • Proficiency in software packages such as Schrodinger, MOE, OpenEye, Rosetta, and scientific programming (Python, Pipeline Pilot).
  • Strong understanding of organic and synthetic chemistry concepts.
  • Experience managing CRO relationships and external collaboration
  • Deep understanding of advancements in drug discovery, emerging technologies, and industry trends, and experience applying this knowledge to enhance research strategies.

Technical Expertise:
  • Molecular Modeling & Simulation: Proficient in structure-based drug design (SBDD), including molecular docking, molecular dynamics (MD), and free energy perturbation (FEP).
  • Skilled in homology modeling, pharmacophore modeling, and quantum mechanics/molecular mechanics (QM/MM) methods.
  • Experienced in cryptic pocket identification and virtual screening for challenging targets


  • Chemoinformatics & Data Science: Applies cheminformatics tools to analyze structure-activity relationships (SAR), ADME/Tox profiles, and compound clustering.
  • Uses machine learning (ML) and AI-driven platforms for compound prioritization, generative design, and predictive modeling.
  • Familiar with scripting languages like Python and platforms such as Schrödinger, MOE, and KNIME


  • Drug Discovery Integration: Designs and optimizes small molecules for potency, selectivity, and pharmacokinetics.
  • Collaborates with medicinal chemists, biologists, and pharmacologists to guide compound progression from hit to lead


Skills:
  • Strong collaboration and teamwork abilities.
  • Excellent oral and written communication in English.
  • Strategic thinking and problem-solving capabilities
  • Strong communication and influencing skills
  • Highly collaborative win-win mindset is essential


Working Environment
  • This position is based in Cambridge, MA and will require on-site work.


Salary Range

$119,000-$170,000 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)

Benefits:
  • Medical, Dental and Vision Insurance
  • Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
  • 401(k) match and annual company contribution
  • Company paid life insurance
  • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
  • Long Term Incentive Plan for eligible positions
  • Company fleet vehicle for eligible positions
  • Referral bonus program


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About Astellas Pharma US, Inc

Astellas Pharma US, Inc is a pharmaceutical company that develops and markets drugs for the treatment of cancer, immunology, and urology. The company is a subsidiary of Astellas Pharma Inc, a Japanese pharmaceutical company. Astellas Pharma US, Inc was founded in 2005 and is headquartered in Northbrook, Illinois. The company has over 17,000 employees and operates in over 50 countries. Astellas Pharma US, Inc is committed to improving the health and well-being of patients through the development of innovative and effective therapies.
Learn more about Astellas Pharma US, Inc
Size
14,522 employees
Industry
Founded
2005
NASDAQ

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