Lead Bioinformatician Full-time

Job: Lead Bioinformatician

Arinale Biosciences Incorporated

Arinale Biosciences is a biotechnology startup operating in stealth mode after having been recently spun out of one of New York City’s premier academic medical centers. Occupying a unique position at the nexus of scientific discovery and healthcare, Arinale’s platform for rapid development of paradigm-changing therapeutics will extend the benefits of precision oncology far beyond current limitations and fundamentally improve the health of cancer patients with limited treatment options.  By utilizing cutting-edge science with an unwavering commitment to patients, we’re helping create a future where every diagnosis is clearer, every decision is more confident, and every life has a better chance/more hope.

Mission

Guided by vision, powered by innovation, and grounded in compassion, we will catalyze the discovery and development of a new generation of transformative cancer therapies.

Role

We are seeking a lead bioinformatician to establish robust interpretative frameworks for novel NGS-based assays. A successful candidate will integrate with experimental and computational teams, collaborating on experimental design, data pipeline development, and conceptually lead and implement data analysis and interpretation. Ideal candidates will have a strong engineering mindset, excited to build analysis workflows from the ground up and enjoy the creative challenge of decoding information-rich datasets into actionable insights.

Responsibilities

• Plan, develop, and execute reusable pipelines for processing NGS data
• Benchmark and evaluate alternative data processing procedures
• Conceptualize, design, and implement a robust interpretation framework
• Identify and integrate multiomic data to inform data interpretation
• Generate reports/dashboards for data QC metrics and interpretive readouts
• Collaborate with experimentalists on experimental design and protocol optimization
• Communicate results (oral, written) to colleagues, collaborators, and stakeholders
• Manage and advise junior associates
• Maintain knowledge of state-of-the-art methodologies and best practices

Requirements

• PhD in Bioinformatics, Computational Biology, Systems Biology, or related field
• In-depth experience with NGS data processing (e.g., RNA-seq, ChIP/CLIP-seq, CRISPR screens, peak calling)
• Fundamental understanding of mRNA lifecycle and associated experimental assays
• Mastery of core statistical and ML procedures for normalization, differential analysis, dimensionality reduction, and clustering
• Knowledge of statistical power analyses for experimental design
• Strong interdisciplinary communication skills
• Fluency in Unix and scripting languages (e.g., Python, R)
• Experience with version-control and writing technical documentation

Standout Experiences

• Additional postdoctoral or industry experience
• Complex (heterogenous) data integrations for functional insights
• Factor analysis for signal decomposition (e.g., NMF, model or VAE-based methods)
• DNN or other ML methodologies for sequence-to-profile (coverage, expression) modeling, with a focus on de novo feature identification
• Specialized expertise in mRNA-protein interactions and associated assays
• Pipeline development with a workflow language (e.g., Nextflow, Snakemake)
• Advanced experimental design procedures (e.g., Bayesian optimization, AI+HITL)
• Cloud computing (GCP, AWS) and/or HPC (SLURM, LSF)
• Schema design and database management for cataloguing datasets

Tagged as: Data Science