The Sr. Research Data Analyst will be a highly-motivated Bioinformatics scientist to work at the forefront of genomics research on mood disorders, including depression and bipolar disorder. The Sr. Research Data Analyst will serve as an integral part of a multi-disciplinary genomics research team by developing and implementing software tools, pipelines and workflows for analyzing high-throughput genomics, epigenomics, and transcriptomics data.
Specific Duties & Responsibilities
Data management, including data checking and cleaning of existing data, as well as creating strategies for capturing, cleaning, and quality control checks for new studies.
Merging data, creating and recoding variables to prepare data for analyses.
Analyzing longitudinal, cross-sectional and clustered data using a variety of standard statistical techniques, including linear and logistic regression, mixed effects models, survival analysis, principal component analysis, and others as needed.
Merging data, creating, and recoding variables to prepare data for analyses.
Interpreting, presenting and summarizing analyses in various formats including tables, graphics, oral reports, and written reports. This includes internal presentations within the center as well as external communications to collaborators across institutions and conferences.
Provide statistical advice to faculty, staff & graduate students as needed in regards to study design, sample size and power analysis, etc.
Develop and implement new pipelines and scripts to parse, process, and analyze genome-wide data sets, including next-generation sequencing data from whole exome/genome sequencing, RNA sequencing, and methyl sequencing studies, as well as array data from genome-wide association, gene expression and methylations studies.
Carry out data analyses in parallel on large compute cluster; integrate, organize and analyze program output.
Manage research datasets on file servers and ensure their appropriate backup, completeness, correctness and integrity.
Prepare reports of findings by compiling results, generating figurers, and preparing tables from analyses of genomic studies.
Assist in preparing scientific presentations, grant applications and manuscripts, with the opportunity if appropriate to present at meetings and contribute as a lead and/or co-author on manuscripts.
Liaise with external collaborative groups independently of the PI to present research updates and facilitate research with external collaborators.
All other responsibilities as assigned.
Education: Master's degree in Bioinformatics, Computer Science, Statistical Genetics or related field.Typically require PhD.
Experience: 1 year related experience. Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
Doctoral degree strongly preferred
Special Knowledge, Skills, and Abilities
Experience working in a Unix/Linux environment and managing large datasets.
Proficiency in shell scripting and/or programming language such as Python or Perl.
Experience using analytic software such as R, SAS or Stata; knowledge of web programming a plus.
Strong oral and written communications skills and ability to work as part of a multi-disciplinary team.
Classified Title: Sr. Research Data Analyst Working Title: Sr. Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: $52,495-$72,000; commensurate with experience Employee group: Full Time Schedule: Monday-Friday, 8:30am - 5:00pm - Up to 37.5 hours per week Exempt Status: Exempt Location: 04-MD:School of Medicine Campus Department name: 10003131-SOM Psy Affect Disorders and Psych Genet Personnel area: School of Medicine
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