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Scientist, Bioinformatics
Scientist, BioinformaticsModerna • 325 Binney St, Cambridge - USA - MA
Scientist, Bioinformatics

Scientist, Bioinformatics

Moderna • 325 Binney St, Cambridge - USA - MA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Moderna is seeking an exceptionally talented and motivated bioinformatician to be a catalyst across Research and Technology Development, accelerating our mRNA medicines through cutting-edge computational analyses and bioinformatics pipeline development. In this role, you will advance how long- and short-read sequencing are used to characterize RNA and DNA at scale – designing algorithms, building robust bioinformatics pipelines, and delivering clear and decision-enabling insights. You will partner closely with wet-lab scientists to co-design experiments, apply novel methods on emerging sequencing platforms (with a strong focus on Oxford Nanopore Technologies, ONT), and stand up real-time and batch analytics that quantify quality attributes, uncover mechanisms, and guide process / assay development. The ideal candidate blends deep NGS / long-read sequencing expertise with strong software engineering, solid molecular biology background, and the curiosity to turn complex data into simple, actionable narratives.

Here’s What You’ll Do :

  • Develop and optimize ONT methods for DNA and RNA characterization (e.g. cDNA vs. direct RNA sequencing, barcoding, de-multiplexing).
  • Build and maintain ONT analysis pipelines covering signal-level analysis, basecalling, alignment, polishing, and comprehensive data verification.
  • Build intuitive visualization and reporting tools that communicate characterization and biological findings to technical and non-technical stakeholders.
  • Develop and maintain documentation, SOPs, and best-practice guides; mentor colleagues and contribute to a culture of reproducibility and scientific rigor.
  • Provide suggestions to wet lab scientists and contribute to experimental design
  • Work cross-functionally across Research and Technology Development to deliver timely NGS / long-read analyses and feedback that improve experimental design and data quality.
  • Contribute to scientific and strategy discussions focused on attributes specific to developing mRNA medicines
  • Communicate findings internally and (as appropriate) externally

Here’s What You’ll Bring to the Table :

  • Ph.D. in Bioinformatics, Computational Biology, or related field with 1+ years of relevant industrial experience
  • Technical expertise
  • Practical data analysis experience with Oxford Nanopore data types (cDNA, direct RNA, demultiplexing), basecalling, signal-level methods, and downstream interpretation.

  • Expert in Python and R programming, clean and well-tested code, packaging and documentation.
  • Producing visualizations of complex NGS results
  • High performance computing in a distributed / cloud environment, e.g. AWS
  • Software development best practices, including agile, version control, unit and integration testing, documentation, and deployment.
  • Strong understanding of the drug development process and fundamentals of mRNA technology
  • Capable to draw robust conclusions from complex datasets, and present them in a clear and understandable way
  • Capable of efficiently contributing to multiple concurrent and fast-paced projects
  • Strong written and oral communication skills and a track record of achievement in publications and / or patent applications
  • Pay & Benefits

    At Moderna, we believe that when you feel your best, you can do your best work.  That’s why our US benefits and global well-being resources are designed to support you—at work, at home, and everywhere in between.

    Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs

    A holistic approach to well-being, with access to fitness, mindfulness, and mental health support

    Family planning benefits, including fertility, adoption, and surrogacy support

    Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown

    Savings and investment opportunities to help you plan for the future

    Location-specific perks and extras

    The salary range for this role is $121,600.00 - $194,500.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.

    The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

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    Scientist • 325 Binney St, Cambridge - USA - MA

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