Bioinformatician/Computational Analyst - Lessard Lab
About The Position
The Lessard Lab is seeking a Bioinformatician or Computational Analyst to join our research team. Our research leverages high-throughput bulk and single cell sequencing technologies to investigate the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjgrens disease, systemic lupus erythematosus (SLE), and other autoimmune diseases. Candidate must have experience in computer programming with the ability to work in linux, R, Python, C++, etc., and use AI, machine learning, and statistical applications to analyze genetic data. Candidate will be responsible for high level analysis, modeling, visualization, interpretation and quality control of multi-omic data (genotyping, bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc.) with direction from managers and scientists. Candidate will assist scientists in designing experiments to facilitate correct analysis of data. Candidate will also evaluate and recommend appropriate tools to compile, assemble and interpret data. Benchmark Accountabilities: Requires understanding of advanced concepts, practices, and procedures to perform all duties using advanced analysis and judgment Provides advanced computational support of scientific projects Requires understanding of advanced concepts, practices, and procedures to perform routine duties requiring analysis and judgment Conducts applied research and develops novel methods to enhance institutes computational infrastructure Stays abreast of changing technologies and new approaches/methodologies to support and enhance job and team performance Ability to investigate and resolve advanced problems by identifying/using computational methods/approaches and related technologies Provides reports to management and advanced user training and assistance to staff
Requirements
- Bachelor's Degree in Computational Biology, Biological Data Science, Mathematics, Bioinformatics, Statistics or relevant field and 5 years relevant experience/training or combination of education and experience.
- Strong project management, organizational, and communication (verbal and written) skills are required.
- Individuals must be detail-oriented and capable of working both independently and as productive member of our team.
- experience in computer programming with the ability to work in linux, R, Python, C++, etc.
- use AI, machine learning, and statistical applications to analyze genetic data
Nice To Haves
- Ideal candidates will have a Masters degree in Computational Biology, Biological Data Science, Mathematics, Bioinformatics, Statistics or relevant field.
Responsibilities
- high level analysis, modeling, visualization, interpretation and quality control of multi-omic data (genotyping, bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc.)
- assist scientists in designing experiments to facilitate correct analysis of data
- evaluate and recommend appropriate tools to compile, assemble and interpret data
- provide advanced computational support of scientific projects
- conduct applied research and develops novel methods to enhance institutes computational infrastructure
- stay abreast of changing technologies and new approaches/methodologies to support and enhance job and team performance
- investigate and resolve advanced problems by identifying/using computational methods/approaches and related technologies
- provide reports to management and advanced user training and assistance to staff
Benefits
- We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays.
- All employees have access to our onsite caf, free onsite fitness center with access to personal trainer, free parking and much more!
- Relocation assistance available for those located 50 miles outside of Oklahoma City metro.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
