Scientist/Senior Scientist – Single Cell Transcriptomics Bioinformatician

Company Description LincSwitch Therapeutics is a cutting-edge biotechnology company leveraging groundbreaking research in long non-coding RNAs (lncRNAs) to develop innovative therapeutic solutions. Our mission is to unlock the potential of lncRNAs to address unmet medical needs across a wide range of diseases. Based on technology developed in Prof. John Rinn's lab at the University of Colorado Boulder, LincSwitch is committed to pioneering new frontiers in RNA-based therapeutics. Role Description Our bioinformatics team is looking for a Computational Senior Scientist ideally onsite in Boulder, CO (remote possible) to help build, scale and streamline our bioinformatic pipelines on large, diverse multi-omics datasets (NGS). This role involves: • Build and maintain robust code to process and analyze large single-cell and bulk multi-omics datasets (NGS). • Maintain and run in-silico experiments, distill results into concise, biologically grounded summaries. • Generate reproducible pipelines on cloud GPUs. • Apply foundation-model tooling (training, fine-tuning or inference) in practical workflows. • Optimize scientific compute for throughput, memory, cost. • Work closely with other team members. Minimal qualifications: • PhD in Computation Biology, CS, Statistics, or related field. • Mastery of Python and containers. • Hands on experience with single cell data sets (e.g. scRNA-seq, scATAC-seq). • Comfort with GPC (or AWS), GPUs and workflow tools. • Excellent communication skills, with the ability to clearly convey complex bioinformatics results to non-specialist team members. • Highly organized, with a proactive approach to problem-solving in a collaborative setting. • Ability to excel in a fast-paced, evolving environment at the cutting edge of RNA research. Compensation and Benefits: LincSwitch Therapeutics offers a competitive compensation package, including base salary, performance bonuses, and stock options, starting in 2026. We also provide health benefits, HSA, a flexible work environment, and opportunities for career growth. How to apply: Please send your CV, cover letter, and an example of a recent coding project (GitHub link) to [email protected]. Apply tot his job