Job Description
About Third Harmonic Bio Third Harmonic Bio is a biopharmaceutical company with a singular purpose: To create a breakthrough treatment for people living with severe allergy and inflammation - debilitating conditions that can take a significant toll on overall health and well-being.
We are developing a highly selective oral wild-type KIT inhibitor for millions of people living with chronic urticaria, severe asthma, and other mast cell-mediated diseases. Despite the availability of multiple approved medicines, there is an urgent need for new treatment options. We are grounded in our purpose of developing medicines to meaningfully improve the lives of the patients we serve.
We are seeking smart, fun, and talented individuals seeking a fast-paced environment where they can meaningfully contribute to building a successful company.
Our Values Our values provide the foundation for our culture and our operating principles - and underly how we hold ourselves accountable and how we interact with each other, with our partners, and with the global medical and patient community.
Be Human Relationships are important. Bring your full self to work and create space for others to do the same. Balance candor with empathy.
Own the Big Picture Context is critical. Ground every decision and action in the entirety of what we are trying to achieve.
Go THRD We hold ourselves to a higher standard. Work with urgency, purpose, and passion.
The Role Reporting to the Vice President, Chemistry, the
Director, Computational Chemistry , will play a critical role in program strategy, hit finding, compound design and prioritization, and drug optimization. This role is for an experienced drug hunting expert, who will apply advanced computational technologies to real-world molecular design. It is an exciting time to join Third Harmonic Bio and operate across the computational and medicinal chemistry fields to make our drug discovery engine faster as well as driving the exploration and implementation of AI/ML techniques to enhance the drug-discovery process.
Responsibilities - Create visual representations of molecular interactions, complete generative design and other forward-looking approaches to support structure-based drug design
- Design compounds and predict their potency and ADMET using cutting-edge computational chemistry methods, including physics/ML based activity prediction
- Collaborate with cross-functional program teams in successful implementation of the strategy and execution of drug discovery programs
- Lead the integration, and promote the use of, computational chemistry and cheminformatics methods to expedite the Design-Make-Test-Analyze discovery cycle
- Partner closely with our medicinal chemistry and biology teams in hit-finding initiatives and to provide timely compound design support to rationalize structural biology, chemical biology, and in vitro and in vivo SAR data driving towards drug candidate selection
- Investigate and analyze key challenges during hit and lead optimization processes to propose novel testable solutions and improve screening outcomes
- Foster data-informed culture; advise stakeholders in new target and druggability assessment by providing protein structure analysis, compound analysis, technical expertise, and constructive feedback
- Facilitate effective decision-making throughout the target identification to candidate nomination process with the development of predictive models, simulations and validation
- Understand and advocate for emerging technologies and scientific advancements in computational chemistry, new tools and methodologies
Required Qualifications - Ph.D. in Computational Chemistry, Computational Medicinal Chemistry or related field
- 7-10+ years of experience in drug discovery with proven record in drug design / discovery principles
- Demonstrated experience across commercial molecular modeling packages (e.g. Schrodinger, MOE, OpenEye, Pymol, Molsoft) and cheminformatics packages as well as experience in scientific scripting
- Skilled in the application of ML in drug discovery, including application to generative molecular design and in property prediction
- Strong communication skills with the ability to convey complex messages, including effective ability to summarize and document data and results
- Strong scientific programming skills (e.g. Python, R) and pipelining tools, (e.g. Knime)
The approximate salary range for this role is $194,000-$220,000.
All qualified applicants will receive consideration for employment without regard to race, sex color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Job Tags
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