Research Scientist I – Genetic Engineering & Bioinformatics
Heat Biologics is a public biotechnology company focused on the development and commercialization of novel cancer immunotherapy products designed to harness the power of a patient’s own immune system to eradicate cancer cells. We believe our immunotherapy is a market-redefining approach to the treatment of cancer. We are an innovative and growing company and have a highly energized and accomplished team.
We are seeking a highly motivated genetic engineering & bioinformatics, PhD scientist for the role of Research Scientist I. The position will be based in Durham, North Carolina and will directly report to the Senior Director of Research in the Heat Research Group (HRG).
This individual will be required to engineer new cellular therapies for our cancer vaccine platform. Practical, ‘out-of-the-box’ thinking is required. Inventing new techniques and applying genetic engineering and editing methods to build highly complex cell-based products.
Experience with ATAC-seq (Assay for Transposase Accessible Chromatin with next generation Sequencing) and CRISPR/Cas9 is required. Talent in biostatistics, genomics, epigenetics and bioinformatics is key to performing this function. Familiarity with MAD7 and TN5 transposase is a plus. Working familiarity with Python, Perl or related bioinformatics software required. Familiarity with immunology, immuno-oncology, tumor biology and techniques (e.g., flow cytometry, ELISA) a plus but not required. Experience with antibody engineering, phage display and peptide libraries a plus, but not required.
This position will require significant independent thinking and functioning as the need is required to fill a specific task for product development. A successful candidate must be highly organized, self-motivated, and able to thrive in a fast-paced dynamic biotech environment where flexibility, tolerability to rapid change, and drive to make a significant impact, are essential.
- Interface with our Texas-based, Pelican Therapeutics, site, and other scientists at Heat Biologics, for the qualification of new cell line products for commercial manufacturing and clinical use (method and tech transfer communication skills are key)
- Help design dual antibody expressing cell lines for commercial and clinical implementation
- Curation and management of large datasets, gathering end user requirements
- Help design, set-up or manage the outsourcing of antibody engineering projects using phage display, peptide screens or other techniques
- Developing, optimizing and applying pipelines and algorithms for processing and analyzing biological data
- Analyze, graph and report results, plus interface with outside vendors (commercial and academic) using patient genetic information and human sequences for epigenetic, biomarker and predictive epigenetic markers of disease
- Generation of technical reports, manuscripts, abstracts, presentations and other forms of deliverables as required
- Involved in genome sequence analysis, assembly and annotations leveraging information and knowledge creation from diverse genomics datasets and computational tools
- PhD in bioinformatics, genetic engineering, epigenetics or gene editing
- 0-2 years of industry experience
- 4+ years of experience with site directed gene editing techniques
- 2+ years with cell line development
- 4+ years technical experience with mammalian cell culture and molecular biology techniques as it relates to this job description
- Good written and verbal communication and interpersonal communication skills to effectively interact with all levels both within and outside the company is key
- Must have experience with plasmid design, construction, transfection, PCR, cloning, extraction of genomic DNA, sequencing, analysis
- Working familiarity with genetic engineering, cell line development and use of the latest gene editing techniques (Cas9, MAD7, TN5 transposase)
- Familiarity and experience with siRNA, shRNA, RNAseq, protein engineering and gene editing
- Must have working knowledge of the latest bioinformatics software – e.g., Python, Perl
- Conducting independent data analysis and interpretation and generating reports as per specification
- Understand and apply statistical analysis methods
Experience in one or more areas of computational biology is a plus:
- Sequence related analysis, next generation sequence data analysis (NGS)
- Gene sequence/codon optimization
- Gene expression analysis, RNA-seq, microarray, proteomics
- Genome sequence analysis, assembly and annotation
- Metagenomics analysis
- Comparative and phylo-genomics
- Pathway and gene functional analysis
- Network analysis/modeling approaches
- Phenotypic data analysis
- Implementation of tools for genomic data integration and visualization
- Unix environment with basic to intermediate Unix skills, be proficient in one or more programming languages (Perl, Python)
We offer a competitive compensation and benefits package as well as an environment where your contributions can make a significant difference.
Please fill out the form below to submit your application.