The Atkinson lab in the Department of Molecular and Human Genetics at Baylor College of Medicine is recruiting a motivated Bioinformatics Analyst I to assist in research projects in statistical and population genomics across diverse human populations. Our lab uses large-scale genomic datasets to decrease disparities in genetics and psychiatric research across ancestry groups. The successful candidate will be responsible for integrating and analyzing genotype and sequencing data, interpreting genetic association results in the context of deeply phenotyped data sets, and building scalable computational processing pipelines. The candidate should have a strong computational background, demonstrated knowledge of research methods, have interest in improving the inclusiveness of genomics research, and succeed working both collaboratively as a team member and individually. Previous experience working with genomic data from diverse populations is a plus.
Baylor College of Medicine is a global leader in genetics research and provides a vibrant multidisciplinary research environment with close links to many other world-class institutions in the Texas Medical Center as well as BCM-affiliated hospitals across Houston. Our lab is in the leadership of multiple international consortia including the Psychiatric Genomics Consortium (PTSD working group), Neuropsychiatric Genetics in African Populations study (NeuroGAP), and the Latin American Genomics Consortium, affording lab members access to a wealth of diverse large-scale genomic datasets containing a wide range of phenotypes for potential study. As a member of our team, you will be provided the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research.
Work closely with analyst colleagues to understand various methods for investigating association between genetic and phenotypic variables.
Work alongside informatics colleagues to clean and analyze genetic and epidemiologic datasets.
Application of these approaches to large-scale psychiatric and population genetic databases.
Create pipelines using existing analysis tools to process data in an automated and efficient fashion.
Responsible for documentation and error reporting for existing tools.
Ensure data quality control is constantly and consistently applied to incoming data sets.
Create reports of data quality and communicate these to computational staff.
Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
No experience required.
Master’s degree in a related field.
Ability to work effectively in a multidisciplinary team environment.
Candidates with backgrounds in genomics, population genetics, bioinformatics, and/or statistics would thrive in our group, as we are highly interdisciplinary across these areas.
I strongly encourage candidates typically underrepresented in the sciences to apply!
Ideal candidates for this role would have experience or interest in the following domains:
Strong initiative and ability to take ownership of assigned tasks and projects.
Solid understanding of genetic analysis methodologies and tools.
Practical experience with Unix environments and proficient in a programming language, preferably with some background in python and/or R.
Interest in cloud computing is a plus.
Familiarity with, or interest in, studying diverse and global population cohorts.
Familiarity with, or interest in, studying psychiatric phenotypes such as schizophrenia, bipolar disorder, autism and PTSD.
Good communication and and interpersonal skills.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care.
- Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective.
- Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve.
- Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.