Senior Bioinformatics Software Engineer

🔥 1 hora atrás

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Baylor Genetics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1978

🏥 Saúde

💼 Consultoria

🍽️ Alimentos e Bebidas

Healthcare • Consulting • Food & Beverage

A Baylor Genetics é um laboratório de genômica clínica e diagnóstico de precisão afiliado ao Baylor College of Medicine, que oferece serviços abrangentes de teste genético e interpretação. A empresa oferece sequenciamento do genoma completo e do exoma completo, análise cromossômica por microarray, testes mitocondriais, farmacogenômica e ensaios especializados, juntamente com aconselhamento genético, suporte para prestadores de serviços e recursos de seguro/pagamento. A Baylor Genetics apoia prestadores de saúde, pesquisadores e famílias com interpretação aprimorada por IA, integração de dados multimodais e serviços clínicos e laboratoriais de ponta a ponta.

Descrição

• Design, develop, and maintain robust, scalable, and efficient software solutions for Baylor Genetics’ bioinformatic pipelines • Create and optimize data models for assembly, mapping, variant calling, and variant annotation algorithms • Develop and optimize ETL processes using APIs • Analyze and optimize SQL queries and database performance • Contribute to database schema design and review sessions • Develop interactive dashboards and automated reports using BI tools such as Azure Pipelines, Teams Power Automate, email, and Nextflow • Collaborate with data analysts, business users, clinical reviewers, laboratory personnel, and software developers to scope requirements and deliver software integrations • Integrate disparate data sources and maintain data consistency, accuracy, reliability, flexibility, and maintainability • Conduct rigorous testing and automate testing suites using pytest, doctest, and Azure Pipelines • Create comprehensive inline documentation, wikis, README files, installation instructions, implementation guidance, and trace mappings • Provide support and maintenance for developed solutions • Manage individual projects, adhere to timelines, and communicate when project scopes fluctuate • Perform other advanced job-related duties as assigned

🎯 Requisitos

• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics or a related field; Master’s degree preferred • Minimum of 5 years of experience in software development • Proven track record of designing and implementing scalable software solutions based on diverse user feature needs • Proven track record of implementing production ready software solutions from scratch • Deep knowledge and expertise in at least two programming languages: Python, Perl, R, Bash, Java, C++, or Groovy • Proficiency with SQL Server, NoSQL, MongoDB, MySQL, and ElasticSearch • Proficiency in Agile frameworks and CI/CD practices using Git • Object-oriented programming and standard software design practices • Experience building performant, maintainable, tested, production-ready software packages from scratch • Solid understanding and habitual practice of unit and integration testing • Proficiency designing and building APIs and microservices from scratch • Solid understanding of package management practices such as PIP and Conda • Knowledge of containerization using Docker and Singularity • Strong analytical and problem-solving skills • Ability to translate complex business needs into technical solutions and work independently • Good communication skills and flexibility to reach out to stakeholders and SMEs • Excellent interpersonal and communication skills for multidisciplinary collaboration • Ability to adapt to evolving technologies, learn new tools, and implement best practices • Experience managing individual projects and adhering to timelines • Prior experience or domain knowledge collaborating with laboratory scientists, computational biologists, or clinical reviewers is a nice-to-have • Knowledge of Azure is a bonus • Familiarity with Linux OS, HPC clusters, SLURM, Kubernetes, GCP, Azure, workflow/orchestration tools, Nextflow, Airflow, or Snakemake is a plus, but not essential

🏖️ Benefícios

• Equal opportunity employer committed to an inclusive and diverse workforce • Equal employment opportunity protections under applicable federal, state, and local law

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