Computational Scientist - AI/ML for Omics Integration

<div style="font-size: 10pt; font-family: 'Tahoma';"> <p>(ID: 2025-0404)</p> <br> <p><strong>Axle</strong> is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).</p> </div> <p> </p> <p style="line-height: normal; margin: 0in 0in 8pt;"> </p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;"><strong>Axle </strong>is seeking a <strong><em>Computational Scientist - AI/ML for Omics Integration</em></strong> to develop and apply advanced AI/ML approaches to integrate multi-omics datasets for comprehensive organoid characterization and quality assessment. This position located in <strong>Frederick, MD </strong>at the Standardized Organoid Model Center will focus on creating computational frameworks that can assess organoid fidelity, predict functional outcomes, and identify optimal culture conditions through sophisticated data integration strategies. </span></p> <p> </p> <div style="font-size: 10pt; font-family: 'Tahoma';"> <p><strong>Benefits We Offer:</strong></p> <ul> <li>100% Medical, Dental Vision Coverage for Employees</li> <li>Paid Time Off and Paid Holidays</li> <li>401K match up to 5%</li> <li>Educational Benefits for Career Growth</li> <li>Employee Referral Bonus</li> <li>Flexible Spending Accounts: <ul> <li>Healthcare (FSA)</li> <li>Parking Reimbursement Account (PRK)</li> <li>Dependent Care Assistant Program (DCAP)</li> <li>Transportation Reimbursement Account (TRN)</li> </ul> </li> </ul> </div> <div class="ck-content" style="font-family: Segoe UI; font-size: 11pt;" data-wrapper="true"> <p style="line-height: normal; margin: 0in 0in 8pt;"> </p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;"><strong>Overview:</strong></span></p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.</span></p> <p style="line-height: normal; margin: 0in 0in 8pt;"> </p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;"><strong>Responsibilities:</strong></span></p> <ul> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">The successful candidate will design and implement machine learning algorithms that integrate diverse omics datasets including genomics, transcriptomics, proteomics, and metabolomics data to create comprehensive organoid characterization profiles.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">They will develop predictive models that assess organoid quality and functionality based on molecular signatures and identify biomarkers that correlate with successful organoid development.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">The role involves creating computational tools for comparing organoid characteristics across different protocols and labo ... (truncated, view full listing at source)