Details
Posted: 29-May-22
Location: St. Louis, Missouri
Type: Full-time
Salary: Open
Scheduled Hours
40
Position Summary
The DRIVES Project is seeking a Bioinformaticist to support our interdisciplinary lab in developing relational databases, data processing pipelines, and multi-level data analysis. This position seeks a driven and independent candidate to apply engineering and computational techniques to enhance the performance of existing databases, design new programs for the analyses, write new support programs/scripts, and perform debugging procedures on database scripts and programs.
This flexible role would advance three, ongoing NIH/NIA R01 grants that investigate the long-term impact of Alzheimerâ™s disease (AD) brain pathology on driving behavior and driving cessation among persons with and without preclinical AD. The ability to identify who will be at most risk of driving decline and to predict when decline will occur will inform early driving safety intervention trials for older drivers. Our research program employs several methods to study driving, including the use of an off-the-shelf device used in fleet management that collects naturalistic driving behavior. We also collect a cadre of biomarkers to study disease pathology, including brain imaging (Positron Emission Tomography, Magnetic Resonance Imaging) and fluid-based (cerebrospinal fluid, blood/plasma) biomarkers.
Job Description
Primary Duties and Responsibilities
- Algorithms and computer software for multi-level exposure-based data sets using SQL.
- Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
- Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.
- Performs complex systems setup of relational data and writes interpretative reports.
- Evaluates commercial off-the-shelf and academic bioinformatics programs.
- Solves practical problems relating to difficulties with software, hardware, and data architecture.
Preferred Qualifications
- Masterâ™s degree or Ph.D. in computer science or related field highly preferred.
- Database design and management experience.
- Experience in data analysis/modeling.
- Analytical, reasoning, and problem-solving skills.
- Expertise in standard bioinformatics tools.
- Proficiency in scientific programming and statistical languages (e.g., SQL, Python, R, Java), in a UNIX/Linux and/or Windows environment.
Required Qualifications
Bachelorâ™s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or masterâ™s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or combined education and experience of nine years.
Grade
R11
Salary Range
$53,000.00 - $96,200.00 / Annually
The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO/AA Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the Universityâ™s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment â“ fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.
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