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>&nbsp;</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)&nbsp;</strong>supporting the Standardized Organoid Model Center in&nbsp;<strong>Frederick, MD.&nbsp;</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>&nbsp;</p> </div> <div style="font-size: 10pt; font-family: 'Tahoma';"> <p><strong>Benefits We Offer:</strong></p> <ul> <li>100% Medical, Dental &amp; 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;">&nbsp;</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;">&nbsp;</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-size: 10pt;">Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.</span></li> </ul> <p style="line-height: normal; margin: 0in 0in 8pt;">&nbsp;</p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;"><strong>Required Qualifications</strong></span></p> <ul> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.</span></li> </ul> <p style="line-height: normal; margin: 0in 0in 8pt;">&nbsp;</p> <p style="line-height: normal; margin: 0in 0in 8pt;"><span style="color: black; font-family: Tahoma; font-size: 10pt;"><strong>Preferred Qualifications</strong></span></p> <ul> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Experience with organoid systems or tissue engineering applications is highly desirable.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.</span></li> <li style="line-height: normal;"><span style="color: black; font-family: Tahoma; font-size: 10pt;">Familiarity with cloud computing platforms and containerization technologies is preferred.</span></li> </ul> </div> <div style="font-size: 10pt; font-family: 'Tahoma'; text-align: center;"> <p><strong>Disclaimer:</strong> The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.</p> <p>The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.</p> <p>Accessibility: If you need an accommodation as part of the employment process please contact: <span style="color: black;"><a href="mailto:[email protected]" target=" _blank">[email protected]</a> </span></p> <p>This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.</p> <p>&nbsp;</p> </div><div class="content-pay-transparency"><div class="pay-input"><div class="title">Salary Range</div><div class="pay-range"><span>$115,000</span><span class="divider">&mdash;</span><span>$130,000 USD</span></div></div></div>