Cell BioEngines, Inc. is a clinical-stage next-generation cellular medicine company advancing allogeneic off-the-shelf cell therapies for applications in transplantation, immuno-oncology and regenerative medicine. We combine breakthroughs in stem cell biology, bioinformatics, and manufacturing science to create scalable, off-the-shelf cell therapies that can reach more patients, faster. We are building a team of innovators who can translate data and biology into real cures.
We are seeking an individual for a hybrid role our Research and Development and Bioinformatics departments to aid in the characterization of our current pipeline therapies and to help development of our AI infrastructure. This position provides an opportunity to participate in multiple stages of individual projects and to provide significant contribution to company’s objectives. As a research associate you will aid advancing our preclinical and clinical-stage assets by conducting proof of concept experiments and scale-up activities. As a bioinformatist, you will help design and deploy informatics solutions that enable HLA-driven cord blood unit (CBU) donor selection using population coverage model, HLA-driven donor recipient matching, cell utilization/restocking biobank model, data integrity in cGMP manufacturing, and evidence generation in early clinical trials.
EDUCATION & SKILL REQUIREMENTS:
· B.S. degree in Immunology, Cell Biology, or Bioinformatics
· 2+ year experience in biotech/biopharma industry (preferably in area of cell and gene therapy). In some cases, significant academic research may substitute for industry experience
· Proficiency in Microsoft Word, Excel, and PowerPoint and statistics software
· Start-up experience is strongly preferred
GENERAL SKILLS AND RESPONSIBILITIES:
· Candidates should have effective oral and written communication skills, must be self-motivated and highly organized with strong record-keeping skill and able to work independently in a fast-paced research environment.
· Capability in handling multiple tasks efficiently, experienced in data analysis and interpretation
· Good interpersonal, verbal, and written communication skills
· Help to optimize new protocols for engineering cells using both viral and non-viral vectors
· Well-organized and capable of multitasking with complex, overlapping experiments
· Demonstrated ability to think critically and creatively to solve scientific problems
· Collaborative nature and flexibility to pitch in and help team members to deliver on commitments, including with processing of samples from mouse transplantation studies and/or product/product intermediate samples for characterization
· Demonstrate strong accountability as well as details-oriented, quick learner of new assay platforms
· Ensure high-quality, timely documentation in laboratory notebooks, SOPs and technical reports
· Present data to scientists and management in internal venues
· Conduct experiments independently and in collaboration with team colleagues
· Maintain highly detailed, up-to-date records of all experiments conducted
· Communicate research and development findings with internal and external partners
LABORATORY SKILLS:
· Solid foundation in primary cell culture, ideally human stem or progenitor cells that are challenging to maintain (primary job responsibility)
· Support the optimization of ex vivo HSPC cell culture and expansion
· Culture and maintain cell lines and primary cells, for cell-based assays. Extensive experience with immune cells is a required
· Proficiency in the isolation and characterization of blood cell subpopulations employing cytometry and additional methods for immune cell analysis
· Implement complex cellular assays (flow cytometry, lymphocyte quantification, T cell stimulation, etc.)
· Hands-on expertise with diverse immunoassays (MSD, ELISA, Luminex, and beads-based assays) is highly desirable.
· Hands on expertise with in vitro functional assay development is desired, such as T cells / PBMC stimulation and co-culture assays.
· Experience with multiparametric flow cytometry is a plus
· Deep understanding of HLA biology preferred
BIOINFORMATICS RESPONSIBILITIES
· Translational & Clinical Data Integration
Develop and oversee data pipelines linking donor selection, HLA bioinformatics, and clinical outcome data.
Support clinical operations by integrating EDC/CTMS systems for early-phase trials.
Create data visualization tools and dashboards to support scientific, manufacturing, and regulatory decision-making.
· Bioinformatics & Analytics Leadership
Lead analysis and interpretation of genomics, immunogenetics, and cell characterization data.
Build and refine donor-recipient matching algorithms using HLA and immunogenicity data.
Apply machine learning and predictive modeling to enhance product consistency and patient matching.
Pay: $25.39 - $30.58 per hour
Work Location: In person
