Associate Director - Machine Learning Sciences

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Bristol Myers Squibb seeks a leader to head the Machine Learning Sciences team within its Computational Sciences department, applying AI/ML to optimize small molecule drug discovery, including ADMET and PK prediction and multiparameter design.

You will collaborate with medicinal chemistry, DMPK, biology, and data science to embed predictive models into workflows, shape strategy, drive model validation, and report to senior leadership.

Qualifications

• Advanced degree in Chemistry, Computational Chemistry, Computer Science, or related field.
• Proven expertise in applying ML to drug discovery problems.
• Leadership experience in scientific projects or teams.
• Strong cross-disciplinary communication skills.

Responsibilities

• Set scientific strategy for ML efforts within the team.
• Oversight of team development and project execution.
• Collaborate cross-functionally with medicinal chemistry, DMPK, biology, and data science teams to embed predictive models into workflows.
• Drive model validation and innovation by evaluating new methodologies.
• Represent the team to senior leadership.

Skills

ML in drug discovery

Leadership

Cross-functional collab

Model validation

ADMET

PK prediction

Education

Advanced degree in Chemistry/Computational Chemistry/CS

Job description

Role:

Lead and manage the Machine Learning Sciences team within Bristol Myers Squibb's Computational Sciences department, focusing on applying AI/ML to optimize small molecule drug discovery, including ADMET and PK prediction and multiparameter design.

Responsibilities:

set scientific strategy, oversee team development, collaborate cross-functionally with medicinal chemistry, DMPK, biology, and data science teams to incorporate predictive models into workflows, drive model validation and innovation by evaluating new methodologies, and represent the team to senior leadership.

Requirements:

advanced degree (BSc + 12+ yrs, MSc + 10+ yrs, or PhD + 8+ yrs) in Chemistry, Computational Chemistry, Computer Science, or related; proven expertise in applying ML to drug discovery problems; leadership experience in scientific projects or teams; strong cross-disciplinary communication skills.

Preferred:

prior management experience, familiarity with multiparameter optimization, external collaboration experience, and experience in pharma/biotech R&D environment.

High-Value:

small molecule chemoinformatics, ADMET/PK prediction, multiparameter design, AI/ML methodology development, and cross-functional collaboration in drug discovery.

Work setup:

role details and location not specified, likely hybrid or flexible based on typical roles.