The Pagliarini Lab at Washington University School of Medicine in St. Louis is seeking a Bioinformaticist to assist with projects related to exploring mitochondrial protein function. In particular, we are interested in candidates with extensive experience in areas including analyzing large-scale (e.g., proteomic, transcriptomic, metabolic) data sets, predicting protein activities (e.g., evolutionary history, sequence and domain conservation, structural modeling), and machine learning. The scientist in this position will work closely with other members of the Pagliarini Laboratory on collaborative projects exploring mitochondrial and related metabolic functions. Candidates with well-developed programming (e.g., R, Python) and statistical proficiencies, with broad knowledge of available computational tools, and with advanced communication and interpersonal skills are strongly preferred.
Primary Duties and Responsibilities
Following instructions and discussions with the principal investigator, designs research protocols, including developing procedures for the collection, verification and management of data.
Assists with grant preparation and reporting.
Performs complex statistical analysis of data collected and writes interpretative reports.Â Verifies the correctness of the data submitted and makes recommendations based on these analyses.
Documents research topics and prepares and submits papers based on research work to publications and committees for publication or presentation to peers.
Solves practical problems relating to difficulties with equipment or test subjects.Â Suggests technical or procedural improvements in testing methods.
Conducts literature searches related to research project.
Performs other duties as assigned.
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Some level of training in biochemistry and metabolism.
Advanced communication and interpersonal skills.
Extensive experience in areas including analyzing large-scale (e.g., proteomic, transcriptomic, metabolic) data sets, predicting protein activities (e.g., evolutionary history, sequence and domain conservation, structural modeling), and machine learning.
Well-developed programming (e.g., R, Python) and statistical proficiencies, with broad knowledge of available computational tools.
Analytical, reasoning and problem-solving skills.
Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner.Â
Computer literacy, including the ability to use a variety of software packages to analyze data.
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.
$53,000.00 - $96,200.00 / AnnuallyThe 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.
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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.
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.
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.
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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