Post-Doctoral Fellow

at  University of Colorado

JOB SUMMARY:

The Stranger Lab at the University of Colorado Anschutz Medical Campus welcomes applications for a Postdoctoral Fellow
Dr. Stranger’s Lab is at the forefront of groundbreaking research, merging human genetics, bioinformatics, statistical analysis of multidimensional data, and cutting-edge computer science to unravel the complexities of health and disease. Our team pioneers the analysis of diverse genetics, genomics, and clinical data to uncover new insights into genome function and the genetic basis of complex phenotypes. By innovating methods to identify and interpret context-specific genetic effects, the lab is advancing discoveries on the impact of sex and gender on the genetics of complex traits. Our current research spans critical areas including cancer, neuropsychiatric and cardiac traits, immune-mediated traits, clinical laboratory tests, and women’s health. We are seeking passionate individuals who are driven to significantly impact the field through groundbreaking research and inventive solutions.
The Postdoctoral Fellow will join a highly interactive, supportive, and interdisciplinary group of faculty, staff scientists, postdoctoral fellows, engineers, and students in the Department for Biomedical Informatics who are inventing and deploying advanced analytics and knowledge integration approaches. They will also join the thriving community of the Ludeman Family Center for Women’s Health Research that supports women’s health research and the researchers leading discoveries in sex and gender medicine and women’s health. The goal of building this community is to make the Anschutz Medical Campus a leader in translating data into advances in research discoveries, health care delivery, and population health and in scaling these to provide nationwide benefit through innovative technologies.
Key Responsibilities:

MINIMUM QUALIFICATIONS:

Applicants must meet minimum qualifications at the time of hire.

• PhD in Statistical Genetics, Human Genetics, Biostatistics, Biomedical Informatics, Computational Biology, or related field

PREFERRED QUALIFICATIONS:

• Experience with large-scale human genetics and genomics data
• Experience performing large-scale data analysis, including data-wrangling, statistical analyses, or machine learning.
• Experience with the standard suite of statistical genetics tools (R, imputation, phasing, GWAS tools, eQTL mapping, colocalization, Mendelian Randomization, etc.)
• Programming expertise, including data management, code documentation, version control, code dissemination.
• First author publications on relevant large-scale human genetics and genomics topics
• Demonstrated experience with high-performance computing environments or cloud computing.
• Experience with analysis of electronic health record data
• Experience in machine learning preferred, but not a must

KNOWLEDGE, SKILLS AND ABILITIES:

• Demonstrated commitment to promoting inclusion in the workplace
• Ability to learn quickly and apply new analytic techniques
• Knowledge of commonly-used genetic biobanks (e.g., UK Biobank, AllofUs, FinnGen) and human genetic variation panels (e.g, 1000 Genomes Project, TOPMed).
• Knowledge of large-scale functional genomics data resources (e.g., ENCODE, GTEx, TCGA, TOPMed, other).
• Proficiency in scientific communication as evidenced by peer-reviewed conference proceedings, manuscripts, and presentations at national or international conferences.
• Expert knowledge of statistical principles relevant in human population genetics, statistical genetics, and genomics research
• Experience working with human sex chromosome genetics and genomics data, preferred.
• Strong skills in data visualization.
• Excellent written and verbal communication skills and the ability to disseminate results to a wide variety of audiences
• Commitment to health equity, as well as interest in women’s health and sex differences.
• Good organizational skills across multiple projects
• An intellectually curious and positive attitude, and the ability to work with a variety of investigators and colleagues

• Complete required research training.
• Perform general administrative duties as requested by the PI.