We are seeking a talented, motivated individual to lead the day-to-day activities of GEMINI, an NIH-funded study into the genetic basis of male infertility. The successful applicant will have a key role in exploring the large whole exome sequencing dataset generated from over 1000 cases to date and with another 1000 cases sequenced in the immediate future. The position requires the ability to organize and participate in periodic conference calls, the ability to independently design and execute computational analysis pipelines for genome sequence analysis, to perform follow-up validation experiments, and to travel and write papers to communicate analysis results.
Manage the day-to-day operations of the GEMINI Consortium
Work independently with clinical collaborators to assist with enrollment, answer questions on logistics, schedule conference calls
Maintain a local repository of DNA samples and distribute samples to collaborators and service providers as necessary
Travel to academic conferences for face-to-face meetings as needed
Perform original research into the genetic basis of infertility
Design and execute a computational pipeline to identify genetic variants from genome sequencing data, and interpret these variants.
Perform follow-up experiments that will a) validate the presence of genetic variants predicted from whole-genome sequencing or b) characterize the functional impact of the genetic variant on a molecular or physiological level
Communicate major research finding through teleconferences, conference presentations, and written reports and peer-reviewed papers.
Training and community-building
Participate in the intellectual life of the lab and greater lab environment by attending seminars, lab meetings, and providing advice and training to others on an as-needed basis.
Doctorate degree in Human Genetics, Genetics, or related quantitative science (e.g. biostatistics, computational biology)
Previous success as a research scientist demonstrated by first-author publications
Background in the application of statistical methods in the biological and medical sciences
Strong computational skills
Experience in Illumina-based short read sequence analysis
Knowledge of basic experimental techniques used in human molecular genetics (e.g. cloning, Sanger sequencing).
Ability to make critical decisions about lab operations independently
Effective written and oral communication and proven ability to work in a collaborative environment
Experience performing analysis of human exomes or genomes.
Experience in a Linux/UNIX computing environment.
Know a compiled language (e.g. C, Java), a scripting language (e.g. PERL, Python), and R.
Works in laboratory environment with potential exposure to biological, chemical and radioactive hazards. Must be physically able to wear protective equipment. Must be able to travel less than 2 weeks per year.
Work schedule is routinely Monday through Friday, but requires ability to work flexible hours, as required by scope of the position.
Physical demands & equipment usage:
This job requires extensive work with a computer and could include sitting at a desk for long periods.
Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or firstname.lastname@example.org.
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