Senior Associate Scientist, Biology

Parabilis Medicines•Cambridge, MA

18h•Onsite

About The Position

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.

Requirements

Bachelor’s degree with 5+ years or Master’s degree with 4+ years of industry experience in a relevant field
Experience in discovery biology, with exposure to oncology or related therapeutic areas preferred
Strong hands-on experience developing and executing cell-based and high-throughput assays, including automation
Quantitative approach to assay design and data quality (controls, reproducibility, robustness metrics)
Experience designing and executing experiments independently and generating actionable insights from complex datasets
Familiarity with a subset of the following: CRISPR/Cas9, gene editing/knockdown, overexpression systems
qPCR/RT-qPCR, Western blotting, flow cytometry
Reporter assays (e.g., luciferase, NanoBRET), protein–protein interaction assays
Mammalian cell culture and functional assays (e.g., proliferation, apoptosis)
High-throughput screening formats (e.g., 384-well)
Omics approaches (e.g., RNA-seq, proteomics) preferred
Automation platforms, ELN systems (e.g., Dotmatics), and SOP authorship
Strong experimental rigor and data-driven decision-making
Ability to manage multiple projects and priorities in a fast-paced environment
Effective cross-functional collaboration and clear scientific communication
Ownership mindset with ability to independently drive workstreams
Demonstrated ability to utilize AI tools for day-to-day work; baseline proficiency is expected, and advanced or innovative use of AI is a strong plus
Able to work on-site and attend in-person meetings

Nice To Haves

Omics approaches (e.g., RNA-seq, proteomics) preferred
Advanced or innovative use of AI is a strong plus

Responsibilities

Design, develop, and optimize multiplexed cell-based and high-throughput assays to ensure robust, reproducible, and scalable data generation
Improve assay throughput and efficiency through automation or semi-automation, proactively identifying risks and refining experimental strategies
Drive mechanistic understanding of novel oncology targets through hypothesis-driven experimentation (e.g., CRISPR, knockdown, tool compounds, rescue strategies)
Integrate internal data, literature, and public datasets to inform experimental design, interpret results, and refine scientific hypotheses
Contribute to biomarker discovery efforts and support translational strategy development
Collaborate cross-functionally with chemistry, DMPK, in vivo pharmacology, and data science teams to advance programs from hit-to-lead through IND-enabling studies
Support assay transfer to CROs, including data review, troubleshooting, and performance tracking
Present findings clearly to project teams and maintain rigorous documentation, including ELN entries and SOP development