Director, Bioinformatics

Position Summary

Genocea discovers novel targets of T cell responses to develop life-changing medicines. We have a pipeline of novel vaccine and immunotherapy programs that stimulate T cell immunity, which is critical to generating protective immune responses for therapy of cancer and other diseases. We design our medicines using ATLAS™, our proprietary technology platform.  Our platform has the potential to revolutionize vaccines and immunotherapies for a range of cancers, infectious diseases and autoimmune diseases.

We are seeking a talented and highly motivated Director of Bioinformatics, to provide technical expertise and leadership to drive advanced computational methods enabling vaccine and adoptive T cell therapy discovery for oncology indications. The successful candidate will possess the ability to work within a multidisciplinary discovery team to lead development and implementation of innovative computational tools to facilitate novel vaccine development.

Primary Responsibilities

  • Build a cross-functional bioinformatics organization to support multiple projects and large data sets

  • Work within an interdisciplinary team of molecular biologists, cellular biologists, computational biologists and software engineers focused on developing novel vaccine candidates with our ATLAS™ antigen discovery platform

  • Provide support to lead programs through analysis and integration of NGS and cell assay data from human and mouse samples to support clinical program and research platform needs.

  • Propose and supervise implementation of an organization-wide data and computational biology architecture enabling automated and semi-automated analysis of clinical and research samples, from sample acquisition to generation of visualizations.

  • Lead the development and implementation of automated methods, analytical tools and software to deliver insights and hypotheses from multi-dimensional biological data sets

  • Process, analyze and interpret high volumes of data as part of internal and external scientific studies

  • Serve as liaison between research and clinical development team to develop a computational driven approach for biomarker discovery and modeling of responder/non-responder analysis

  • Serve as internal expert in quantitative data analysis and present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner

  • Work independently and prepare timetables, deliverables, and project schedules

  • Lead a team of computational scientists responsible for multi-dimensional research and clinical data analysis

  • Ensure rigorous scientific integrity and regulatory compliance


  • Strong scientific understanding of immunology, oncology, cellular biology, molecular biology and genomics is desirable, including experience with NGS (exome-, RNA-, and TCR-seq) and cellular profiling data

  • Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context

  • Knowledge of programming languages: Python (required) and R (preferred)

  • Experience in data management, database design, Cloud computing and architectures, as well as project management.

  • Demonstrated ability to present data to a multidisciplinary audience in a clear and cohesive manner

  • Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment

  • In depth knowledge of relevant public and proprietary databases, methods and tools (NCBI, UCSC Genome Browser, TCGA)

  • Excellent teamwork, time management and organizational skills

  • Demonstrated management experience and experience growing a team

Required Skills

  • Extensive experience in NGS, high-throughput cell-based assays, T cell biology, molecular biology, and automation. Knowledge of cell imaging and TCR sequencing preferred

  • Demonstrated skills in data analysis of complex multidimensional datasets

  • Demonstrated knowledge of Python, Cloud computing, as well as data and project management. Familiarity with computational biology Cloud-based architectures and best practices in the space of automation

  • Excellent critical thinking, time management and organizational skills.

  • Excellent written and verbal communication skills, with the ability to present at the highest level.

  • Ability to engage, sustain and influence effective relationships at the management level.

Education Requirements

  • Ph.D. in Bioinformatics or Computational biology with 8+ years of relevant post-graduate research experience, including quantitative data analysis in the biotech/pharmaceutical industry

  • Demonstrated experience in clinical and research studies is required with deep understanding of immunology and immuno-oncology strongly preferred