GentiBio is an emerging biotherapeutics company co-founded by pioneers in Treg biology and synthetic immunology from Seattle Children’s Research Institute, Benaroya Research Institute, and MIGAL Galilee Research Institute. GentiBio is focused on the development of EngTregs programmed to treat autoimmune, alloimmune, autoinflammatory and allergic diseases. GentiBio’s proprietary autologous and allogeneic EngTregs platform integrates key complementary technologies needed to successfully restore immune tolerance and overcome major limitations in existing regulatory T-cell therapeutics.
GentiBio is seeking to build an organization with an exceptional company culture focused on empowerment, care for our team members, an appreciation for diversity and inclusion, and the development of our people. As such, we are looking for candidates who are not just great scientists and business professionals, but individuals who are looking to contribute to building and modeling an outstanding company culture – and having fun while doing so.
GentiBio is building corporate operations in both Boston and Seattle. We are looking for outstanding leaders and scientists to join our team in both of our locations.
GentiBio is seeking a highly motivated bioinformatician to implement and manage diverse bioinformatic capabilities to support the discovery and preclinical development of cutting-edge regulatory T-cell therapies. This leadership role requires deep expertise in multi-omics dataset analysis, including but not limited to NGS. The successful candidate will also build and manage a small wet lab delivering sequencing-ready libraries to streamline NGS workflows. This role offers exposure to an organizational and company build, leadership, and an ample opportunity to be a high-impact trailblazer in the emerging field of regulatory T-cell therapy.
- Foster the culture of seeking and giving help, inclusion, authenticity, and fun
- Lead the implementation and expansion of bioinformatic capabilities, including tools and databases to support discovery and preclinical work
- Build a small lab and develop an integrated workflow from samples to sequencing-ready libraries
- Implement state-of-art computational pipelines for NGS to analyze transcriptomic data, including TCR sequences
- Identify and acquire relevant public and third-party 'omics datasets and perform integrative data analyses to generate insights leading to new testable therapeutic hypotheses
- Work closely with discovery and platform teams to develop appropriate plans for data generation and analysis, as well as visualization tools to illustrate and communicate key findings
- Represent the bioinformatic function in cross-functional program teams and develop and implement bioinformatic strategies to support project-level decision-making
Qualifications and Education Requirements
- PhD with 5+ years of industry experience in bioinformatics, computational biology, or other related fields
- Demonstrated experience developing bioinformatic tools and pipelines to analyze NGS and multi-omics large scale datasets required, as evidenced by productive and successful programs and/or publications
- Excellent programming capability using various coding languages (e.g., Python, R, Shell)
- Experience with TCR-seq preferred
- Experience and/or previous exposure to clinical translational research in a drug discovery organization (e.g., biomarkers discovery, patient stratification) preferred
- Knowledge of bioinformatic analyses relevant to the regulation of cell and gene therapy products (e.g., gRNA design, GUIDE-Seq, HLA-Seq, Amp-Seq, or on/off-target) preferred
- Experience working in the cloud environment (AWS) preferred
- Experience working with deep learning or machine learning models preferred
- Previous management experience preferred but not required
- Exceptional teamwork and communication skills
- Flexibility to pivot from plan A to plan B
- Ability to synthesize complex information and focus on key deliverable