Senior Molecular Modeling Jobs (NOW HIRING)

About Parabilis Medicines

Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines for patients with serious diseases by unlocking biologically important targets long considered undruggable. The company has pioneered a new class of alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that have historically been beyond the reach of conventional medicines. The company's lead investigational medicine, zolucatetide, is the first and only direct inhibitor of the β-catenin:TCF interaction, a central node in the Wnt/β-catenin pathway that has eluded drug developers for decades. Zolucatetide is being evaluated in the clinic across multiple Wnt/β-catenin-driven diseases, including desmoid tumors, familial adenomatous polyposis (FAP) and a range of other solid tumor indications. Beyond zolucatetide, Parabilis is advancing additional Helicon-based programs focused on other challenging targets where we believe our medicines could have life-altering impact. For more information, visit www.parabilismed.com or follow us on LinkedIn.

What's the opportunity?

Parabilis Inc. is seeking a highly talented and self-motivated Senior Principal Scientist to be a versatile, hands-on pillar of the Computational Drug Discovery group, a strategic function that is part of Parabilis's platform discovery engine for Helicon™ stapled-peptide drugs. Reporting to the Senior Director of Computational Drug Discovery, this person will bridge two disciplines that are often siloed — 3D molecular modeling and molecular data science / cheminformatics — applying both to advance our peptide pipeline. We are looking for someone who can independently support project teams across the full computational spectrum, from sampling peptide conformations and designing ternary complexes to building predictive property models and running cheminformatics analyses, without needing to hand off between a dedicated 3D modeler and a dedicated cheminformatician. You'll be part of a data science team that is a central pillar of Parabilis's innovative discovery platform and pipelines targeting "undruggable" genes of major therapeutic interest to patients.

Key responsibilities:

• Provide computational expertise toward, but not limited to, ternary complex design for degraders and other proximity-based modalities, hit identification and prioritization, hit-to-lead progression using multi-objective optimization, initiating new projects, new drug-target assessments, and advancing drug-pipeline projects toward the clinic.
• Identify, implement, and apply 3D modeling techniques for sampling Helicon™ peptide conformations in the presence of a target, in ternary complex, and in different physiological environments; analyze and derive 3D peptide structure-property relationships.
• Analyze peptide/chemical structure and property space to identify patterns and gaps that inform Helicon and monomer designs; adapt and implement data analytics and machine learning techniques toward predictive models of Helicon™ properties.
• Contribute to the implementation and development of cheminformatics and research informatics systems and tools, working with IT and data engineering to enable and automate enterprise-level computational solutions.
• Exemplify scientific leadership by partnering across functions and working within a team of talented, passionate scientists to discover drugs and help teams make better decisions, faster.
• Interface with internal and external partners.

What you'll need to be successful:

• PhD in Computational Chemistry, Cheminformatics, Data Science, Protein Engineering, Computational Biology/Biophysics, Chemistry, Physics, Macromolecular Sciences, or a closely related field.
• 10+ years of pharma/biotech industry experience in computational rational drug discovery, with a proven track record of impact in a drug discovery program using computational and/or informatics techniques.
• Demonstrated experience with ternary complex design and understanding, peptide design or protein engineering, and a good understanding of peptide structure-property relationships (e.g. helicity and amphiphilicity metrics, cell penetration).
• Demonstrated mastery of modern computational chemistry including, but not limited to, peptide folding and docking, use of co-folding foundation models such as Boltz, structure-based design (receptor- and ligand-based), scaffold hopping, and conformational analysis.
• Demonstrated expertise with cheminformatics (e.g. RDKit, ICM, OEChem) and data science toolkits/libraries (e.g. Pandas, Scikit-Learn, NumPy), with a solid grasp of statistical principles and data analytics.
• Expertise in one or more peptide modeling environments (e.g. ICM, Rosetta, Amber, GROMACS) and methods (enhanced sampling MD, Monte Carlo, MSM).
• An understanding of modern drug discovery including, but not limited to, medicinal chemistry, multi-parametric optimization, and molecular recognition principles, and the ability to adapt and translate these principles to stapled peptides.
• Demonstrated understanding of critical assessment of molecule-property data and predictive model quality, and of the experiments behind the data that can be translated to computational analysis.
• Strong scientific programming skills (Python) in a Linux environment, and experience with command-line modeling applications.
• Experience with data visualization and exploration tools (e.g. Vortex, Spotfire, DataWarrior, Datagrok).
• Excellent communication and collaboration skills, with the ability to work well in and inspire a vibrant, multidisciplinary community of drug hunters.
• Excellent organizational skills and attention to detail, with a strong passion for learning new concepts and technologies.
• Demonstrated use of AI tools in your current role and responsibilities is required; advanced or innovative use of AI is a strong plus.
• Familiarity with cloud computing environments (e.g. Google, AWS, Azure) is a plus.
• Experience with enterprise research informatics systems such as Dotmatics and chemical and biological data warehouses is a plus.
• Familiarity with machine learning and cheminformatics concepts applied to peptides is a plus.
• Familiarity with use of LLMs and IDEs, such as Cursor, to enhance workflows, productivity and innovation is a plus.

Core Values

Parabilis Medicines is a team of passionate pioneers who are trailblazing the future of precision medicine with the aim of making a meaningful difference in the lives of patients. The company is committed to promoting an inspiring and flourishing working environment for all employees across the business, in all departments, and driving innovation for patient benefit.

• Growth-Minded. We're inventing a new class of medicines—one applicable to therapeutic targets that have been dreamt about, but always considered impossible to drug. Our work requires us to be curious, humble and adaptable.
• In(ter)dependent. We are fiercely independent as a leader in defying the limitations of current therapeutic modalities, and interdependent as a team as we work collaboratively to shift drug discovery paradigms and provide patients with better treatment options.
• Patient-focused. We are deeply focused on patient outcomes, and all energy in the company is focused on science as it translates to patient impact.
• All-In. We're All-In on solving some of the hardest scientific challenges and delivering one of the most effective new classes of drugs in history.

The base salary range for this position is $200,000-$250,000, depending on experience, qualifications, and internal practices. Parabilis's total compensation package also includes an annual target bonus, equity, and a comprehensive suite of competitive benefits designed to support our employees' overall well-being.

As an equal opportunity employer, Parabilis Medicines values an inclusive workplace and welcomes applicants of all backgrounds and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

30 Acorn Park Drive | Cambridge, MA 02140 | www.parabilismed.com