Why Join Us?

Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines that unlock high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities. 

Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead asset, zolucatetide (FOG-001), is a first-in-class, clinically validated direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in millions of cancer cases annually, including in colorectal cancer, desmoid tumors, hepatocellular carcinoma and a range of other Wnt/β-catenin-driven tumors. In Phase 1 clinical trials, zolucatetide produced the first-ever clinical evidence that it can directly inhibit this interaction, once previously considered “undruggable” despite its role across multiple cancer types. Parabilis is also advancing investigational degraders of ERG and AR^ON into clinical development for the treatment of prostate cancer, as well as progressing other preclinical programs. Backed by a recent $305 million Series F financing, Parabilis is entering an exciting phase of growth and execution.

What’s the opportunity?

Parabilis Inc. is seeking a highly talented and motivated Senior Data Scientist / Cheminformatician to support the platform discovery engine for Helicon^TM peptide drugs. Reporting to the Associate Director of Cheminformatics, the candidate will work collaboratively with biologists and chemists, leveraging skills in data science and cheminformatics to enable hypothesis generation and data insights for advancing Fog preclinical drug discovery.

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. Our data science team is an integrated team ranging from computational biology, bioinformatics, computational drug discovery, research informatics and data engineering. We work at the interface of chemistry, biology, clinical and computational sciences, and are responsible for all aspects of data science from building the discovery pipeline to supporting and developing our discovery platform.

Responsibilities

• Provide scientific leadership and data science / (chem)informatics expertise towards, but not limited to, hit identification, targeted screening of Helical peptide library designs, hit prioritization, hit-to-lead progression using multi-objective optimization, new drug-target assessments, and advancing drug-pipeline projects towards the clinic
• Analyze peptide/chemical structure and property space to identify patterns / gaps that inform Helicon and monomer designs
• Adapt and implement data analytics and machine learning techniques towards predictive models of Helicon^TM properties
• Contribute to implementation and development of cheminformatics and research informatics systems and tools for Fog
• Work with IT and data engineering to enable enterprise-level cheminformatics solutions

Requirements

• MS or PhD in Data Science, Cheminformatics, Computational Chemistry or Computational Biology, Chemistry, Biophysics, Macromolecular sciences, Computer Science, or related scientific field with 5+ years of experience within the pharmaceutical or biotechnology field
• Proven track record of impact in a drug discovery program using informatics/computational techniques
• Demonstrated expertise with cheminformatics (e.g. RDKit, ICM, OEChem) and data science toolkits/libraries (e.g. Pandas, Scikit-Learn, and Numpy)
• Demonstrated understanding of critical assessment of molecule-property data and predictive model quality
• Demonstrated expertise in data analytics and solid grasp of statistical principles
• Experience with data visualization techniques and exploration tools (e.g Vortex, Spotfire, Datawarrior, DataGrok)
• Strong scientific programming skills (Python). Familiarity with modern pipeline tools is a plus.
• Excellent communication and collaboration skills that contribute to and inspire a vibrant community of drug hunters
• Experience with (chem)informatics analyses of peptides, machine learning, databases/enterprise informatics systems (e.g. Dotmatics), or cloud computing environments (e.g. Google, AWS, Azure) is a plus

Core Values

Parabilis 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 target for this position is $145,000 -$ 175,000 per year, 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.

Why Join Us?

As a member of the Parabilis Medicines team, you will be a part of an organization dedicated to creating extraordinary medicines for diseases with urgent unmet needs, harnessing our proprietary peptide platform to transform treatment possibilities for patients. Parabilis is a clinical-stage biopharmaceutical company dedicated to unlocking high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities. 

Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead asset, zolucatetide (FOG-001), is a first-in-class, clinically validated direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in millions of cancer cases annually, including in colorectal cancer, desmoid tumors, hepatocellular carcinoma and a range of other Wnt/β-catenin-driven tumors. In Phase 1 clinical trials, zolucatetide produced the first-ever clinical evidence that it can directly inhibit this interaction, once previously considered “undruggable” despite its role across multiple cancer types. Parabilis is also advancing investigational degraders of ERG and AR^ON into clinical development for the treatment of prostate cancer, as well as progressing other preclinical programs. Backed by a recent $305 million Series F financing, Parabilis is entering an exciting phase of growth and execution.

What’s the opportunity?

We are seeking a highly talented and self-motivated person to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Parabilis’s platform discovery engine for HeliconTM stapled-peptide drugs.  The skill sets of the group includes state-of-the-art machine learning/generative AI, molecular modeling, cheminformatics and data science towards the discovery and development of HeliconTM stapled-peptide drugs.

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. Our data science team is an integrated team, ranging from computational biology, bioinformatics, computational drug discovery, research informatics and engineering. We work at the interface of chemistry, biology, clinical and computational sciences, and are responsible for all aspects of data science, from building the discovery pipeline to supporting and developing our discovery .

Responsibilities

• Provide computational expertise towards, but not limited to, ternary complex designs for degraders and other proximity-based modalities, hit-to-lead progression using multi-objective optimization, initiating new projects, new drug-target assessments and advancing drug-pipeline projects towards the clinic.
• Identify, implement, and apply 3D modeling techniques for sampling HeliconTM peptide conformations in presence of a target, in ternary complex, and in different physiological environments.
• Analyze and derive 3D peptide-structure relationships.
• Exemplify scientific leadership by partnering across functions and working within a team of talented and passionate scientists to discover drugs.
• Interface with internal and external partners.

What you’ll need to be successful:

• PhD in Computational Chemistry, Protein Engineering, Chemistry, Physics, Macromolecular sciences or close-related field
• 5+ years of pharma/biotech industry experience in computational rational drug .
• 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, docking and conformational analysis.
• An understanding of modern drug discovery including, but not limited to, medicinal chemistry, multi-parametric optimization, molecular recognition principles, and the ability to adapt and translate these principles to stapled peptides.
• Excellent communication and collaboration skills, with the ability to work well in a multidisciplinary environment
• Excellent organizational skills and attention to detail, with a strong passion for learning new concepts and technologies
• Expertise in one or more peptide modeling environments (e.g. ICM, Rosetta, Amber, GROMACS) and methods (enhanced sampling MD, Monte Carlo, MSM).
• Demonstrated understanding of critical assessment of molecule-property data and predictive model quality.
• Demonstrated understanding of experiments behind the data that can be translated to computational analysis.
• Experience with command line modeling applications.
• Familiarity with cloud computing environments.
• Strong scientific programming skills (Python) in a Linux environment.
• Experience with enterprise research informatics systems such as Dotmatics and chemical and biological data warehouses is a plus.
• Familiarity with concepts in machine learning.
• Familiarity with cheminformatics techniques is a plus.
• Familiarity with use of LLMs and IDEs, such as Cursor, to enhance workflows, productivity and innovation is a plus.
• Demonstrated use of AI tools in your current role and responsibilities is required. Advanced or innovated use of AI is a strong plus.

Core Values

Parabilis 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 target for this position is $145,000 - $175,000 per year, 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 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.

Why Join Us?

Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines that unlock high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities. 

Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead candidate, FOG-001, is the first direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in colorectal cancer, desmoid tumors, and a range of other Wnt/β-catenin-driven tumors. Parabilis is also advancing investigational degraders of ERG and ARON for the treatment of prostate cancer, as well as other preclinical programs. 

What’s the opportunity?

This role is the primary computational partner for one or more pipeline programs, working across both preclinical and clinical spaces to convert complex biomarker, mechanistic, and RWD/E datasets into clear, actionable insights for target, dose, indication, and combination strategy. Reporting to the Head of Computational Biology, a successful candidate will design and implement robust analysis workflows spanning in vitro and in vivo studies, early‑phase trials, and external data sources to refine patient selection and mechanism‑of‑action understanding. The ideal candidate will couple their prior experience in oncology with a deep understanding of bioinformatics methodologies, a strong computational skill set, and an ability to translate scientific challenges into technical solutions and analysis that informs team decisions.

Scope of the role:

• Strategic thinker, planner and implementer of computational biomarker and translational analyses for early‑phase oncology studies (e.g., FOG‑001 and ERG/AR degraders), from IND‑enabling work through Phase 1/2, ensuring continuity between preclinical and clinical datasets.
• Design and execute analysis plans for diverse biomarker modalities across preclinical models and clinical samples, including bulk and single‑cell RNA‑seq, DNA panels/WES, ctDNA, IHC/IF, multiplex protein assays, and other exploratory readouts.
• Synthesize, summarize and communicate findings in a clear, decision‑oriented manner to cross‑functional teams and governance, and contribute to internal decision making, conference abstracts, and manuscripts as appropriate.

Who you’ll be working with:

• Partner closely with discovery biology, translational scientists, clinicians, biostatistics, and RWD/E colleagues to define questions that leverage both preclinical and human data, and to design analyses that are statistically and biologically robust

Main tasks & duties for the position:

• Analyze preclinical in vitro and in vivo data (e.g., Helicon screens, xenograft/PDX models, pharmacology and PD studies) to characterize target engagement, pathway modulation, and resistance mechanisms, and translate these findings into clinical hypotheses.
• Analyze pre and on treatment patient biopsies and blood samples to quantify pathway modulation, signaling changes, and emergent resistance or sensitivity signatures, integrating with preclinical findings where possible.
• Develop, validate, and operationalize predictive and pharmacodynamic biomarker signatures for use in preclinical strategy, trial design, and RWD/E anchored analyses, including patient stratification and indication/expansion cohort selection
• Uses leading-edge knowledge of principles, concepts and practices and/or techniques to lead complex projects involving related departments; May have supervisory responsibilities

What you’ll need to be successful:

• PhD in Computational Biology, Bioinformatics, Statistics, Epidemiology, or related field, or MS with significant industry experience in translational, clinical biomarker, and/or RWD/E analysis in oncology.
• 7+ years of relevant post graduate experience (biotech/pharma or closely related), including direct work with both preclinical and clinical oncology datasets.
• Strong hands on experience analyzing biomarker data such as DNA sequencing, RNA seq (bulk and/or single cell), ctDNA, and tissue based assays (IHC/IF, multiplex platforms), with demonstrated impact on either discovery or development decisions, ideally both.
• Proficiency in Python and/or R, including data wrangling, statistical modeling, visualization, and best practices for reproducible research (version control, environments, documentation).
• Comfortable operating at the interface of discovery, translation, clinical development, and external data, with a track record of effective collaboration with non-computational colleagues.
• Excellent communication skills, with the ability to translate complex analyses into concise, decision ready narratives for diverse audiences.
• Demonstrated use of AI tools in your current role and responsibilities is required. Advanced or innovative use of AI is a strong plus.
• Able to work on-site and attend in-person meetings for the majority of time.

Core Values

Parabilis 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 target for this position is $175,000 - $220,000 per year, 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 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.