F

Flagship Pioneering

Venture capital building bioplatform companies

Lead Bioinformatics Engineer

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeCambridge, MA, USA$128k - $176kIn-person

About the Job

Requirements

  • A Master of Science or Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a closely related field is required.
  • At least 7 years of hands-on bioinformatics engineering experience, including production-grade pipeline development and deployment, is required.
  • Deep expertise in genomic data types and file formats, including FASTQ, BAM/CRAM, VCF, BED, HDF5, and AnnData, and the computational tools used to process them, is required.
  • Demonstrated experience building and operating cloud-native bioinformatics workflows using workflow managers such as Nextflow, Snakemake, or WDL is required; AWS is preferred, while Azure or GCP is acceptable.
  • Strong programming proficiency in Python and/or R, with experience in shell scripting for pipeline automation, is required.
  • Familiarity with public genomic data repositories and their access and compliance frameworks, such as dbGaP, UK Biobank, and TCGA, is required.
  • Proven ability to manage complex external relationships and data access processes, including Data Use Agreements, Data Access Committee applications, and compliance reporting, is required.
  • Strong communication skills and a collaborative working style, including comfort engaging with scientific and technical audiences, are required.

Responsibilities

  • Own and operate Flagship's portfolio bioinformatics platform stack, including CodeOcean, Sequera (Nextflow Tower), Tamarind.bio, and adjacent tools, serving as the primary administrator, configurator, and first point of escalation for platform-level issues.
  • Build and maintain a library of reusable, production-quality pipeline templates and starter deployments that portfolio companies and Pioneering Medicines teams can adopt without bespoke engineering for each use case.
  • Serve as the technical bridge between Pioneering Intelligence's open-source bioinformatics library and portfolio company end users by translating contributed code into deployable, documented workflows that scientists and informatics teams can operate independently.
  • Establish and maintain standards for bioinformatics data formats, pipeline documentation, and code contribution guidelines to ensure internally developed and Pioneering Intelligence-contributed workflows meet a consistent standard for reproducibility and portability.
  • Guide portfolio company scientists and informatics teams in building and adapting pipelines independently within the platform framework, supporting scientific self-sufficiency at the company level rather than long-term pipeline ownership by Scientific Cloud.
  • Partner with Scientific Cloud Engineering to align bioinformatics platform infrastructure with enterprise cloud architecture standards, including identity management, security controls, and cost governance.
  • Serve as Flagship's primary liaison with external genomic and biomedical data consortia and repositories, including UK Biobank, the Francis Crick Institute, dbGaP, GTEx, ENCODE, and other curated dataset providers.
  • Manage the full lifecycle of data access agreements, including Data Access Committee applications, Data Use Agreements, renewals, and compliance reporting, in coordination with legal and compliance teams.
  • Monitor consortium partners' roadmaps and emerging datasets, and surface data access opportunities aligned with portfolio scientific needs.
  • Coordinate onboarding of consortium-sourced datasets into Flagship's data environment with data engineering teammates, ensuring proper ingestion, governance metadata, and access controls.
  • Build relationships with data operations and scientific leads at partner institutions to streamline access processes and deepen collaboration.
  • Work with Data & Informatics Engineering teammates, including data architects, data engineers, and software engineers, to integrate bioinformatics workloads into shared data platforms, pipelines, and catalogs.
  • Collaborate with Research Systems, Lab Systems, and informatics counterparts across Flagship and portfolio companies to understand scientific requirements and translate them into platform capabilities.
  • Partner with Pioneering Intelligence data science and machine learning teams to ensure processed omics datasets are properly formatted, annotated, and accessible for downstream analytical and AI workflows.
  • Participate in cross-team technical reviews, architecture discussions, and sprint ceremonies as a contributing member of the Scientific Cloud team.
  • Contribute to shared standards, playbooks, and documentation for the broader Scientific Cloud organization and portfolio.
  • Act as an internal subject matter expert on genomics, transcriptomics, and multi-omics data ecosystems, advising portfolio company scientists and IT counterparts on best practices.
  • Evaluate and recommend computational resources, including high-performance computing, cloud batch, and spot instances, for large-scale genomic workloads.
  • Stay current with advances in bioinformatics tooling, reference datasets, and public database standards, contributing to ongoing platform evolution.
  • Contribute to technical documentation, onboarding materials, and knowledge-sharing forums to build institutional bioinformatics capability.

Desired Qualifications

  • Experience administering or deploying managed bioinformatics platforms such as CodeOcean, Sequera/Nextflow Tower, Tamarind.bio, or similar cloud-native workflow environments.
  • Experience working in a multi-company or portfolio environment, supporting scientific teams with diverse computational needs.
  • Familiarity with single-cell omics platforms, including 10x Genomics, Seurat, Scanpy, and scVelo, and spatial transcriptomics workflows.
  • Experience with containerization using Docker or Singularity, and container orchestration for HPC/cloud hybrid environments.
  • Knowledge of data governance frameworks, catalog tools such as DataHub or Collibra, and lineage tracking for scientific data.
  • Experience contributing to or maintaining open-source bioinformatics libraries or shared code repositories.
  • Prior experience in a biotechnology, pharmaceutical, or life sciences technology organization.

About the Company

Flagship Pioneering

Venture capital building bioplatform companies

Flagship Pioneering funds and incubates life-sciences ventures by creating bioplatform companies, forming early-stage NewCos and helping them grow into GrowthCos. It identifies broad scientific platforms that can spawn multiple products and builds companies around those platforms to move them from inception to growth. The firm Differentiates itself by actively creating and guiding new platform-based ventures from scratch, rather than only investing in existing companies, building a diverse pipeline of category leaders. Its goal is to develop a portfolio of platform-based biotechnology and life-science companies that deliver multiple products and advance human health and sustainability.

Company size
501-1,000
Company stage
Not listed
Total funding
$11.5B
Headquarters
Cambridge, MD
Founded
2000

Recently Posted Jobs

Explore more opportunities at Flagship Pioneering

See more jobs