Position Summary

HAYA Therapeutics is seeking a talented and experienced Computational Biologist – Single Cell to join our data science team. In this highly collaborative and impactful role, you will lead the analysis of single-cell and single-nuclei transcriptomic and epigenomic datasets to drive target discovery and translational research in the non-coding regulatory genome. You will be the internal expert for single-cell data analysis across diverse tissue types and disease contexts, applying and innovating computational approaches to uncover novel biology and therapeutic opportunities.

HAYA deploys a combination of experimental and computational solutions for target and drug discovery in the non-coding regulatory genome space. To this end, we leverage multiple omics modalities, including single-cell and single-nuclei RNA-Seq and ATAC-Seq. You will apply your end-to-end expertise in single-cell and single-nuclei data preprocessing and downstream analysis to contribute to scientific discoveries and the advancement of our precision RNA-based therapeutics for cardiovascular and fibrotic diseases. The analysis templates and approaches to handle complex datasets that you will establish will be used by the entire Data Science team across Haya programs.

The Data Science team is central to HAYA’s vision by pioneering innovative AI and advanced computational biology solutions to overcome current scientific, methodological, and operational bottlenecks. We leverage complex biological datasets to remove operator biases, enabling the rapid end-to-end execution of HAYA’s pipeline. Our approach ensures precision-driven decision-making, which enables target drug discovery, biomarkers, translational, clinical, and business strategies, reinforcing HAYA as a leader of next-generation biopharma.

What’s in it for me?

At HAYA, you won’t just analyze data - you’ll help shape the future of RNA-based therapeutics. This is a unique opportunity to apply your scientific expertise to uncover novel biology in the non-coding regulatory genome and translate those discoveries into real therapeutic potential. You’ll be part of a deeply collaborative and forward-thinking team, working at the intersection of data science, functional genomics, and drug discovery. Here, your insights won’t sit on a shelf - they’ll directly influence the development of treatments for patients with serious cardiovascular and fibrotic diseases. We offer a dynamic, innovative culture where scientific curiosity is celebrated, your voice is heard, and your growth is supported. Whether you're leading high-impact projects, engaging with cross-functional teams, or learning something new every day, you’ll find a meaningful and rewarding career path at HAYA.

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‍Key Responsibilities:

• Act as the internal subject matter expert for single-cell and single-nuclei computational analysis across a variety of tissues and disease models.
• Develop, implement, and refine advanced computational methodologies to accelerate and enhance the analysis of single-cell datasets.
• Conduct in-depth investigations using both in-house and publicly available single-cell and epigenomic datasets to uncover disease- and perturbation-specific cell states and regulatory elements, supporting the identification of non-coding RNA targets.
• Integrate single-cell data with other molecular profiling techniques (e.g., bulk RNA-Seq) to inform biomarker discovery and validation strategies.
• Prepare and communicate high-quality scientific reports, visualizations, and presentations for both technical and cross-functional stakeholders.

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Education & Experience:

• PhD in computational sciences (e.g., bioinformatics, computer science) or life sciences with a strong computational focus, or equivalent industry experience (6+ years).
• Deep expertise in single-cell and single-nuclei data analysis, including preprocessing, integration, and interpretation of RNA-Seq and ATAC-Seq datasets.
• Hands-on experience with state-of-the-art computational approaches for single-cell analysis, including ambient RNA correction, cell-type/subtype identification, batch effect correction, and biological interpretation of complex datasets.
• Proven ability to integrate data from multiple sources to construct clear, biologically meaningful narratives, with a demonstrated track record of delivering high-quality single-cell/nuclei RNA-Seq and ATAC-Seq analysis packages.
• Proficient in R or Python, with experience working in Linux-based computing environments, including remote server access and basic Bash scripting.
• Experience with primary epigenomic data analysis (e.g., ATAC-Seq, PRO-Seq, GRO-Seq, CUT&RUN, chromatin conformation capture) to identify functional regions in the regulatory genome is a strong plus.
• Familiarity with bulk RNA-Seq data analysis is a plus.
• Excellent written and verbal communication skills in English, with the ability to clearly present complex data to diverse audiences.

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HAYA Therapeutics is an Equal Opportunity Employer committed to fostering a diverse, inclusive, and equitable workplace where all individuals feel valued and empowered. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, marital or familial status, veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

We prohibit discrimination and harassment of any kind and are committed to ensuring fair and equitable treatment in all aspects of recruitment, hiring, promotion, compensation, benefits, training, and career development.

At HAYA, we believe that diversity of thought, experience, and background drives innovation and strengthens our mission to transform patient care through cutting-edge RNA-based therapeutics.