I am providing a job description and what I currently wrote for a cover letter. help me improve the cover letter.
job description:
About Tahoe Therapeutics
Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas, and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response. By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster, and bring them to more patients who need them.

Your Role
You will be responsible for maintaining our bioinformatics pipelines, and ensuring that we optimally leverage cloud resources for large scale data processing and storage. You will also provide dev-ops support to the machine learning team. You will closely interact and collaborate with bioinformaticians, computational biologists, machine learning scientists, and experimental biology scientists.
Qualifications - Essential
BSc or MS degree in Computer Science, Software Engineering or related discipline.
5+ years of experience as software engineer, preferably in an industry setting.
Knowledge of cloud infrastructure; familiarity with one of leading cloud providers, AWS, GCP or Azure; proficiency with Docker.
Solid Python programming skills.
Solid knowledge of pipeline orchestrator frameworks (preferably Metaflow, Snakemake).
Experience working with big data and building scalable software solutions.
Familiarity with Linux based operating systems.
Qualifications - Desirable
Exposure to large-scale bioinformatics data quality control and visualization.
Prior experience working in health care, life sciences or other regulated industries, requiring interaction with experimental scientists.
Familiarity with R.
Key responsibilities
Successfully execute bioinformatics pipeline in a data production cloud environment.
Maintain bioinformatics pipeline and other software systems.
Improve scalability of bioinformatics pipeline.
Support ML scientists using the RunAI GPU scheduling environment and adopting future environments further improving scalability.
Administration of AWS cloud accounts.
More bespoke software engineering tasks related to experimental data generation and analysis.
Understand business domain problems and user needs by collaborating closely with other company members.

cover letter:
At COMPANY in the LAB, I have made the most contributions to our machine learning pipeline (AML a private repo on GitHub) which covers pre and post ML data. I am constantly iterating through updates for performance and accounting for edge cases to improve our user experience. In VAME, our lab's behavioral motif model, I have worked on hyper tunning and creating benchmark validation metrics to evaluate the training results of each cohort. I am very confident and comfortable collaborating with bioinformaticians, computational biologists, machine learning scientists, and experimental biology scientists as these roles are my current coworkers already. I am pivoting away from COMPANY due to funding shortage and desire to step into the next stage of my life.