Associate Director, Data Science, Computational Biology

Overview

Parabilis Medicines is a clinical-stage biopharmaceutical company dedicated to creating extraordinary medicines that unlock high-impact protein targets, including a new class of stabilized, cell-penetrant alpha-helical peptides (Helicons). The company is advancing a focused pipeline across rare and common cancers, with lead candidate FOG-001 and other investigational programs in degraders and preclinical development. The role described is the primary computational partner for one or more pipeline programs, supporting preclinical and clinical spaces with biomarker, mechanistic, and RWD/E data to inform target, dose, indication, and combination strategy.

What the opportunity

This role reports to the Head of Computational Biology and requires designing and implementing robust analysis workflows across in vitro and in vivo studies, early‑phase trials, and external data sources to refine patient selection and mechanism of action understanding. The candidate should combine oncology experience with deep bioinformatics knowledge and the ability to translate scientific challenges into technical solutions that inform 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
• Lead complex projects spanning 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 in biotech/pharma or closely related field, including 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 discovery or development decisions.
• Proficiency in Python and/or R, including data wrangling, statistical modeling, visualization, and reproducible research practices (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 to translate complex analyses into concise, decision‑ready narratives for diverse audiences.
• Demonstrated use of AI tools in your current role; 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 pioneers focused on precision medicine to translate science into patient impact. The company promotes an inspiring and flourishing working environment across all departments.

• Growth‑Minded. Curious, humble and adaptable as we invent medicines for previously undruggable targets.
• In(ter)dependent. Independent as a leader in defying therapeutic limitations, while interdependent as a team.
• Patient‑focused. All energy is directed toward patient outcomes and science that translates to impact.
• All‑In. Fully committed to solving hard scientific challenges and delivering a new class of drugs.

The base salary range for this position is $175,000 - $220,000 per year, depending on experience and internal practices. Parabilis's total compensation package includes an annual target bonus, equity, and a comprehensive benefits suite designed to support employee 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.

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