AI/ML Scientist/Developer

<div style="font-size: 10pt; font-family: 'Tahoma';"> <p>(ID: 2025-0402)</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> <p> </p> <p><strong>Axle</strong> is seeking a <strong><em>AI/ML Scientist/Developer</em></strong> to join our vibrant team at the <strong>National Institutes of Health (NIH) </strong>supporting the Standardized Organoid Model Center in <strong>Frederick, MD. </strong><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> </p> </div> <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 AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.</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 models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font- ... (truncated, view full listing at source)