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Genomics Data System DevOps Engineer-Temp

Оценка ИИ

Natera — престижная компания в сфере биотеха с сильной миссией. Вакансия предлагает работу на острие науки и технологий, удаленный формат и отличный социальный пакет, однако статус 'Temp' (временный контракт) может быть минусом для тех, кто ищет долгосрочную стабильность.


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Сложность вакансии

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Оценка ИИ

Роль требует редкого сочетания навыков классического DevOps, глубокого знания Python и понимания специфики геномных данных (FASTQ, BAM). Высокие требования к опыту (от 3 до 7 лет в зависимости от ученой степени) делают позицию сложной для кандидатов без профильного бэкграунда в биоинформатике.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 190 000 $
Оценка ИИ

Зарплата в объявлении не указана, но для Senior DevOps ролей в США в сфере Biotech/Genomics рыночные показатели обычно выше среднего по IT-сектору из-за узкой специализации. Учитывая требования к опыту и образованию, можно ожидать конкурентоспособную ставку.

Сопроводительное письмо

I am writing to express my strong interest in the Genomics Data System DevOps Engineer position at Natera. With a solid background in Python development and cloud infrastructure, I am particularly drawn to the opportunity to build scalable data systems that support life-saving R&D and Data Science work. My experience in developing automation solutions and managing RDBMS like PostgreSQL aligns perfectly with your team's mission to streamline genomics data retrieval and metadata management.

Throughout my career, I have focused on creating reliable systems that bridge the gap between complex biological data and efficient engineering practices. I am familiar with the challenges of handling FASTQ, BAM, and VCF files, and I am eager to apply my skills in AWS and CI/CD workflows to enhance Natera's Genomics Data System. I am a strong advocate for clean code and thorough documentation, ensuring that the systems I build are not only performant but also maintainable for the entire team.

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Присоединяйтесь к лидеру в области генетического тестирования и создавайте инновационные системы обработки геномных данных!

Описание вакансии

POSITION TITLE: Genomics Data System DevOps Engineer

POSITION LOCATION:Remote, USA

POSITION SUMMARY:

At Natera we build fast, reliable and scalable data systems that are easy to deploy, maintain, and manage. Our Data Science Production Engineering (DSPE) team is building such a Genomics Data System, to support our R&D and Data Science work.

As a DevOps Engineer contractor working on this Genomics Data System, your responsibilities will include the following:

PRIMARY RESPONSIBILITIES:

  • Working with the Data Science Production Engineering team, to design and develop a Genomics Data System.
  • Develop genomics data file retrieve and archive solutions from various data sources and platforms, e.g., DNAnexus, AWS HealthOmics.
  • Develop databases that record and manage metadata of the genomics data files.
  • Develop automation solutions for genomics data file retrieval and metadata management.
  • Test, deploy, and maintain such systems.
  • Write technical documentations for such systems.
  • Provide training and technical support for other team members.

QUALIFICATIONS:

  • Minimal Bachelor's Degree in Computer Science, Software Engineering, Bioinformatics, or a related field. Advanced degrees preferred.
  • Minimal 7 years of relevant industry experience for candidates with only a Bachelor's Degree.  Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 3 years of relevant industry experience for candidates with a Doctorate degree.
  • Excellent Python programming skills, with cloud application and/or automation system development experience.
  • Proficient with RDBMS systems such as PostgreSQL and/or MySQL, and past database-based application development experience.
  • Proficient Linux command line skills, and past Linux application development experience.
  • Familiarity with AWS services, and past working experience using AWS services.
  • Good understanding and past working experience with genomics data, such as FASTQ, BAM, VCF files.
  • Familiarity with Git workflow and version control systems like GitHub and/or GitLab.
  • Familiarity with tool/system performance evaluation methods, and good understanding of key factors, such as RAM, Disk IO, Network IO's impact on system/tool's performance.
  • Past experience in developing automation solutions.
  • Familiarity with SDLC and software development and testing methodologies.
  • Good documentation practices and coding style.
  • Preferred but not required: IaC skills and experiences, such as CloudFormation, Terraform, and/or Ansible.
  • Excellent communication skills.
  • Strong integrity.
  • Team player.

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

  • Duties are typically performed in an office setting.
  • Duties may require working outside normal working hours (evenings and weekends) at times.

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

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Навыки

  • Python
  • AWS
  • PostgreSQL
  • MySQL
  • Linux
  • Git
  • GitHub
  • GitLab
  • CloudFormation
  • Terraform
  • Ansible
  • SDLC

Возможные вопросы на собеседовании

Проверка понимания специфики предметной области, так как работа связана с огромными объемами биологических данных.

Расскажите о вашем опыте работы с форматами геномных данных (FASTQ, BAM, VCF) и какими инструментами вы пользовались для их обработки?

Позиция подразумевает разработку систем автоматизации на Python.

Опишите наиболее сложную систему автоматизации, которую вы разработали на Python: с какими проблемами производительности вы столкнулись и как их решили?

Вакансия упоминает AWS HealthOmics и DNAnexus. Важно понять готовность кандидата работать с облачной инфраструктурой для биоинформатики.

Какой у вас опыт работы с сервисами AWS для хранения и обработки больших данных, и использовали ли вы специализированные платформы вроде DNAnexus?

Работа включает управление метаданными в RDBMS.

Как бы вы спроектировали схему базы данных для отслеживания миллионов файлов геномных данных с учетом необходимости быстрого поиска по метаданным?

В описании указано владение методами оценки производительности (RAM, Disk IO).

Как вы подходите к профилированию и оптимизации DevOps-инструментов, когда узким местом становится дисковый ввод-вывод (Disk IO) при обработке больших файлов?

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