Director, Cheminformatics and Predictive Modeling

Kymera Therapeutics • Watertown, MA

4d • $195,000 - $275,000

About The Position

Kymera is a clinical-stage biotechnology company pioneering the field of targeted protein degradation (TPD) to develop medicines that address critical health problems and have the potential to dramatically improve patients’ lives. Kymera is deploying TPD to address disease targets and pathways inaccessible with conventional therapeutics. Having advanced the first degrader into the clinic for immunological diseases, Kymera is focused on building an industry-leading pipeline of oral small molecule degraders to provide a new generation of convenient, highly effective therapies for patients with these conditions. Founded in 2016, Kymera has been recognized as one of Boston’s top workplaces for the past several years. For more information about our science, pipeline and people, please visit www.kymeratx.com or follow us on X (formerly Twitter) or LinkedIn.
How we work:
PIONEER: We are courageous, resilient and rigorous in our mission to improve patients’ lives through our revolutionary degrader medicines.
COLLABORATE: We value trust + transparency from everyone. Our goals are shared, our decisions data-driven and our camaraderie genuine.
BELONG: We recognize our differences, inviting curiosity and inclusivity, so that our people are valued, seen, and heard.
How you’ll make an impact:
Lead the development and deployment of machine learning models for potency, selectivity, ADME, and safety endpoints to accelerate molecular design and optimization
Integrate machine learning with molecular modeling and generative design approaches to enable a high-throughput molecular design engine
Partner cross-functionally to define and execute AI/ML strategies to accelerate the DMTA cycle and data-driven decision-making processes
Collaborate closely with IT/Informatics and Research teams to ensure robust data capture, analysis pipelines, and scalable molecular and predictive modeling infrastructure
Advance computational discovery and design capabilities by evaluating, piloting, and adopting novel and emerging AI and modeling technologies.

Requirements

• PhD or equivalent experience in Computational Chemistry, Cheminformatics, Machine Learning, or a related field
• 8+ years of experience in biotech or pharma applying ML to drug discovery problems
• Deep hands-on experience with ML methods applied to molecular or chemical data
• Strong understanding of chemical representations, structure–property relationships, and ADME/Tox principles
• Proven track-record of successful application of ML in molecular design
• Experience collaborating with cross-functional scientific teams
• Strong understanding of cloud-based ML infrastructure
• Track record of publications, patents, and impacts in drug discovery

Nice To Haves

• Experience with generative models, active learning, and multi-objective optimization

Responsibilities

• Lead the development and deployment of machine learning models for potency, selectivity, ADME, and safety endpoints to accelerate molecular design and optimization
• Integrate machine learning with molecular modeling and generative design approaches to enable a high-throughput molecular design engine
• Partner cross-functionally to define and execute AI/ML strategies to accelerate the DMTA cycle and data-driven decision-making processes
• Collaborate closely with IT/Informatics and Research teams to ensure robust data capture, analysis pipelines, and scalable molecular and predictive modeling infrastructure
• Advance computational discovery and design capabilities by evaluating, piloting, and adopting novel and emerging AI and modeling technologies.

Benefits

• Kymera offers a competitive compensation package that recognizes both results and capabilities through market-based, performance-driven pay.
• The anticipated base salary range for this role is $195,000 – $275,000, with eligibility for annual bonus, equity participation, and comprehensive benefits.
• Actual salary is based on a holistic evaluation of the specific role/level as well as each candidate’s depth of experience and the capabilities they bring to the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees