Computational ADMET Group Lead

Job description

JOB DESCRIPTION

At Lilly, we unite caring with discovery to make life better for people around the world.

We are a global healthcare leader headquartered in Indianapolis, Indiana.

Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism.

We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

The Investigative ADME/Toxicology and BioAnalytical Research (BAR) group is an organization purpose-built team to ensure we provide stage-appropriate, problem-focused solutions to molecular creation teams that make life better for people and patients.

We focus on using innovative science to unlock new approaches that can treat people suffering from diseases with poor treatment options.

We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins.

We are committed to continually optimizing our approach, technology and processes to improve our speed of execution.

We relentlessly pursue a culture anchored in empowering scientists and teams to innovate and advance projects through deep collaboration and personal accountability.

 

Position Summary:   

The Investigative ADME/Toxicology and BioAnalytical Research team focuses on drug discovery using both traditional and novel scientific approaches.

We are seeking an experienced leader for our cross-site computational ADME/Tox AI/ML modeling team.

The candidate should have a passion for developing innovative computational methods, maintaining a deep knowledge of current technology to solve druggability and safety issues.

Collaboration with chemists, ADME and Toxicology project leaders, and lab-based scientists is essential.

This role requires excellent people skills, a positive attitude, willingness to learn, attention to detail, and the ability to thrive in a fast-paced team environment.

Responsibilities: 

• Lead a cross-site team of Computational ADME/Toxicology scientists, primarily focused on the support of the new Lilly Small Molecule Discovery (LSMD) group, but one that can also provide support to LRL therapeutic areas and molecular creation teams (LGM, and BioTDR).
  
  

• Use computational tools and techniques to research, develop and deliver computational solutions to design and guide compound design and triage in various in vitro and in vivo experiments.
  
  

• Ensure concerted efforts are applied to data analysis activities to understand the connectivity across in silico, in vitro and in vivo ADME and Safety data for project teams.
  
  

• Work with other leaders across the Investigative ADME/Toxicology and BioAnalytical Research organization to ensure critical success factors are outlined for teams, while working to provide prompt delivery which will include assay development, data analysis and reporting with innovative computational approaches.
  
    

• Provide guidance and next-level mentorship to members of the Computational ADME/Toxicology team.
  
    

• Champion an environment that challenges the organization to actively tackle challenging problems, and ensure utilization of computational approaches to design rational, assumption-guided experiments and facilitate effective multi-property optimization strategies.
  
    

Basic Requirements: 

• PhD in computational chemistry, cheminformatics, computational biology or a related field 

• Demonstrated impact in developing and applying cheminformatics tools within the pharmaceutical sector, or a closely related field.
  
  

• 7+ years of industry experience leading a cross-site computational group in either ADME or Toxicology fields 

Additional Preferences: 

• In-depth knowledge of hit-to-lead to candidate optimization across ADME and Toxicology fields.
  
  

• Demonstrated experience in working with interdisciplinary teams who analyze and visualize multi-dimensional scientific data 

• Experience in leading teams which apply advanced machine learning and statistical methodologies (eg.
  
  Uncertainty quantification, QSAR, DNN) for large scale data mining and modeling 

• Proficient in scripting/programming in one or more of the following languages:  Python, C/C++, R 

• Commanding knowledge of principles of ADMET and Pharmacokinetics 

Additional Information: 

Physical Demands/Travel: 

The physical demands of this job are consistent with a lab environment.

  The candidate must also be able to travel at least once a quarter in order to facilitate a cohesive computational group across sites in support of discovery within LRL.

Work Environment: 

This position’s work environment is in a laboratory and office.

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions.

If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (*******************************************************) for further assistance.

Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees.

Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities).

Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.

The anticipated wage for this position is

$168,000 - $294,800

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

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