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<p class="MsoNormal">FRIEND Lab (Fostering Resilience in Early Neurodevelopment) seeking a talented Data Manager and Analyst to contribute to our groundbreaking studies aimed at unraveling early neurodevelopment of the human brain. Our research focuses on advancing
non-invasive methods imaging and computational modeling methods to understand healthy and pathological human brain development during the prenatal to pre-K period.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">As a Data Manager and Analyst, you will play a crucial role in managing and analyzing complex multimodal datasets (such as neuroimaging, histopathology, psychosocial data). You will work closely with our interdisciplinary team of researchers
to ensure the efficient organization, storage, and analysis of data. Your expertise will be instrumental in extracting meaningful insights from large-scale datasets and contributing to groundbreaking discoveries in the field of early brain development.<o:p></o:p></p>
<p class="MsoNormal"><b>Key Responsibilities</b>:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Develop and implement robust data management protocols to ensure the integrity, security, and accessibility of neuroimaging datasets.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Perform preprocessing, quality control, and statistical analysis of neuroimaging data using advanced software tools and techniques.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Collaborate with researchers to design and execute data analysis pipelines tailored to specific research questions and objectives.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Assist in the development of data visualization techniques to effectively communicate research findings.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Assist in the preparation of research communications such as manuscript, presentation, grant applications, and progress reports<o:p></o:p></li><li class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;mso-list:l1 level1 lfo1">
Stay updated on the latest developments in neuroimaging methodologies and contribute to the integration of innovative techniques into research projects.<o:p></o:p></li></ul>
<p class="MsoNormal"><b>Requirements</b>:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Bachelor's or Master's degree biomedical engineering, computer science, statistics, or a related field.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Proven experience in managing and analyzing neuroimaging datasets, with proficiency in neuroimaging software packages (e.g., FSL, SPM, AFNI, FreeSurfer).<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Strong programming skills in languages such as Python, R, or similar, with experience in scripting for data analysis and automation.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Familiarity with statistical methods and machine learning techniques applied to neuroimaging data analysis.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Excellent organizational skills and attention to detail, with the ability to handle multiple tasks and prioritize effectively.<o:p></o:p></li><li class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;mso-list:l2 level1 lfo2">
Effective communication and interpersonal skills, with the ability to collaborate within a multidisciplinary team environment.<o:p></o:p></li></ul>
<p class="MsoNormal"><b>Preferred Qualifications</b>:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoListParagraphCxSpFirst" style="margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3">
Experience working in a research or academic environment, particularly in the field of neuroscience or neuroimaging.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3">
Knowledge of database management systems and data visualization tools.<o:p></o:p></li><li class="MsoListParagraphCxSpMiddle" style="margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3">
Experience with version control systems (e.g., Git) and software development best practices.<o:p></o:p></li><li class="MsoListParagraphCxSpLast" style="margin-left:0in;mso-add-space:auto;mso-list:l0 level1 lfo3">
Prior experience with advanced neuroimaging modalities and techniques (e.g., resting-state fMRI, diffusion MRI tractography).<o:p></o:p></li></ul>
<p class="MsoNormal"><b>How to Apply</b>:<o:p></o:p></p>
<p class="MsoNormal">Interested candidates should submit a cover letter, resume/CV, and any relevant portfolio or project work demonstrating their expertise in data management and analysis. Please include contact information for references.
<b><u>Applications should be sent to <a href="mailto:vrajagopalan@chla.usc.edu">vrajagopalan@chla.usc.edu</a> with the subject line "Data Manager and Analyst Application - [Your Name]".<o:p></o:p></u></b></p>
<p class="MsoNormal">Join us in unraveling the complexities of the human brain and making breakthrough discoveries that have the potential to transform our understanding of neurological disorders and cognitive function. We look forward to welcoming you to our
team!<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt;line-height:115%"><o:p> </o:p></span></p>
</div>
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