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personalisinc

Senior Data Management Software Engineer

Company: personalisinc

Location: Menlo Park

Posted on: July 02

Personalis, Inc.is a leader in advanced cancer genomics for enabling the next generation of precision cancer therapies and diagnostics. ThePersonalis NeXT Platform is designed to adapt to the complex and evolving understanding of cancer, providing its biopharmaceutical customers and clinicians with information on all of the approximately 20,000 human genes, together with the immune system, from a single tissue sample. In population sequencing,Personalisoperates one of the largest sequencing operations globally and is currently the sole sequencing provider toVeterans Affairs'Million Veteran Program. To enable cancer and population sequencing,Personalis'Clinical Laboratorywas built with a focus on clinical accuracy, quality, big data, scale and efficiency. The laboratory is GxP-aligned as well as Clinical Laboratory Improvement Amendments of 1988-certified andCollege of American Pathologists-accredited.

Located in Menlo Park, CA, Personalis genome analysis and interpretation services will help clinical researchers and physicians use genome sequence data to help elucidate underlying disease mechanisms, improve the diagnosis of genetic disorders, guide treatment and drug choice, and anticipate and prevent diseases. We are seeking a talented and highly motivated Senior Data Management Software Engineer to join our Team. This position can be remote or onsite.

SUMMARY:

As part of the overall Operations Informatics group, you will be a key member of a team of engineers and analysts, working to develop a highly automated lab and achieve a substantially shorter sample turnaround time. Due to the large volumes of sequence and analysis data that are produced, automating the management of the life cycle of this data is a critical aspect of our operations. The position reports to the Manager for Data Management.

RESPONSIBILITIES:

  • Work closely with a variety of internal stakeholders to design, development, and deploy improvements and extensions to the data management and archiving systems.
  • Proactively identify areas for process improvements, with a focus on:
    • The development of policies relating to the retention and archiving of different types of data; and
    • The implementation of automated solutions for managing the life cycle of generated data.
  • Work with scientific project managers to deliver data for customer projects, using a mix of cloud-based solutions and physical media.
  • Provide maintenance and support for data management and archiving operations.

REQUIRED EDUCATION/EXPERIENCE:

  • B.S. in Bioinformatics, Computer Science, Biology, Physics, or related field, plus 5 years of Software Development or M.S. plus 3 years of Software Development experience; or an equivalent combination of education and experience.
  • MS. in Computer Science, Bioinformatics, Biology, Physics, or a related field, plus 3 years of work experience or B.S. plus 5 years of work experience.
  • Fluent with at least one programming language, with a strong preference for Python.
  • Experience working in a Linux/UNIX environment.
  • Experience with HPC environments.
  • Experience with cloud computing environments, e.g. AWS, GCP.
  • Database design and development experience, preferably with PostgreSQL or MySQL.
  • Detail-oriented work style.
  • Collaborative approach to identifying problems and implementing solutions.
  • Excellent communication skills.

DESIRED EXPERIENCE:

  • Experience working with lab scientists on software development projects.
  • Basic familiarity with NGS data sets and analysis tools, with a preference for the Illumina platform.
  • Experience with developing and supporting software in a regulated environment, e.g. CLIA, CAP, etc.
  • Experience supporting high throughput lab information systems in a production environment.
  • Familiarity with industry software development procedures, in particular Agile development strategies.
  • Experience with business process analysis.
  • Knowledge of basic statistics.
  • Experience in data visualization.

Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities. Personalis offers a competitive compensation package.

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