Senior Scientist I Computational Chemistry

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$96,500–$183,500 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday
Closes
Aug 5, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $140k
$80k most similar roles pay here $252k

This role pays less than 88% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $140k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Senior Scientist I Computational Chemistry

Senior Scientist I Computational Chemistry joins the Molecular Profiling and Drug Delivery team to advance drug candidates through various stages of discovery and development. This role involves developing stage-appropriate computational models to optimize developability properties such as permeability, stability, toxicity, and solubility. The scientist will collaborate with medicinal chemists and data scientists to integrate physics-based atomistic modeling, including Quantum Mechanics and Molecular Dynamics, with Machine Learning and Artificial Intelligence hybrid approaches. Key responsibilities include generating hypotheses for compound improvement, building computational infrastructure, and training colleagues on various tools. Required expertise includes proficiency in Python, R, or C/C++, along with experience in software packages like PySCF, GROMACS, OpenMM, VASP, Schrodinger, or OpenEye. The role addresses the technical challenge of predicting ADMET properties and establishing structure-property-performance correlations to ensure robust commercial processes for active pharmaceutical ingredients.

What you'll do

  • Use advanced computational tools to design, optimize, and profile drug candidates across various modalities.
  • Implement new methodologies like QM, MD, and AI/ML to predict ADMET and CMC properties.
  • Serve as a lead computational scientist to drive the development of models for project teams.
  • Generate hypotheses for compound property improvements and apply them to new chemical designs.
  • Identify and integrate novel tools and techniques to improve computational infrastructure.
  • Educate and train colleagues on various computational tools and techniques.

What we're looking for

  • Bachelor's, Master's, or PhD degree in computational chemistry, computer science, biophysics, chemical engineering, or a related field.
  • Experience for BS holders, for MS holders, and for PhD holders in the relevant fields.
  • Knowledge in areas such as quantum mechanics, molecular dynamics, structure-based design, or physicochemical property prediction.
  • Advanced proficiency with QM or MD software packages including open-source codes or commercial software.
  • Ability to build, integrate, and modify computational models and workflow source codes.
  • Familiarity with machine learning or neural network packages such as Scikit-learn or PyTorch.
  • Proficiency in writing code in Python, R, C/C++, or other relevant languages.
  • Deep understanding of electronic structure methodologies and experience with quantum computing algorithms (preferred).

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