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The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes.

42372BR Requisition ID: 42372BR Business Unit: COR Job Description: CDM Smith is seeking a Lead Data and AI Architect to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in data architecture capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. The ideal candidate will have a proven track record designing and implementing successful data and Artificial Intelligence/Machine Learning (AI/ML) solutions, is a strategic thinker with a strong technical background, has exceptional communication, problem-solving skills, with a mindset of continuous learning and curiosity leading to tangible results. Under the direction of the Data Technology Leader, the duties and responsibilities for this position include: • Develop and design the architecture for various data and AI solutions, ensuring each solution is scalable, secure, and reliable. • Engage with our business units to understand their requirements and translate them into technical requirements and designs. • Create data and AI architectural solutions to complex architecture, engineering, and environmental science problems. • Design and implement strategies to scale data and AI solutions across different business units. • Create detailed architecture and technical design docs for our data and AI solutions. • Assist with initiatives and efforts, as part of a collaborative team, with your data scientists, data engineers, data analysts, and stakeholders. • Eagerness to learn and work as part of a multidisciplinary team across a global practice. • Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. • Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. • Present to external audiences as needed. • Assist with marketing, communications, and business development descriptions and activities as needed. • Assist with internal and external website descriptions as needed. • Perform other duties as required. #LI-LP1 #LI-REMOTE Job Title: Lead Data & AI Architect Group: COR Employment Type: Regular Minimum Qualifications: • Bachelor’s degree. • 8 years of related experience. • Equivalent additional directly related experience will be considered in lieu of a degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. EEO Statement: We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law. Why CDM Smith?: Check out this video and find out why our team loves to work here! (https://www.cdmsmith.com/en/Video/Meet-CDM-Smith) Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Site Location: United States - Nationwide Agency Disclaimer: All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Amount of Travel Required: 0% Assignment Category: Fulltime-Regular Visa Sponsorship Available: No - We will not support sponsorship, i.e. H-1B or TN Visas for this position Skills and Abilities: • Advanced understanding and experience with all functions of the data management lifecycle including data governance, data architecture, data integration, metadata management, data development, data quality management, data administration, security & operations, data stewardship and master data management. • Strong knowledge and experience with Microsoft Azure cloud services and Databricks. • Understands the principles of the Azure well-architected framework and can apply those principles to our Data and AI solution. • Expert knowledge and proven ability to develop highly complex data and AI architectures. Inquisitive, with a desire to ask questions and get a deeper understanding of business and data challenges. • Excellent written and oral communication skills with the ability to communicate well with people from both technical and non-technical backgrounds. Ability to listen, build rapport, and credibility as a strategic and diplomatic partner with our business units. • Innovative and able to apply critical thinking skills to generate new solutions/ideas that create value and improve processes. • Detail oriented with the ability to assist with executing highly complex or specialized projects. Background Check and Drug Testing Information: CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Pay Range Minimum: $121,368 Pay Range Maximum: $212,368 Additional Compensation: All bonuses at CDM Smith are discretionary and may or may not apply to this position. Work Location Options: Fully Remote or Hybrid Work Options may be considered for successful candidate. Additional Pay Range Information: The pay range for this position is listed above. This pay range is a good faith estimate representative of all experience levels for this position based on the geographic location assigned to the position. Please note that pay ranges vary based on geographic location. In addition to geographic location, the company considers several other factors when extending an offer including but not limited to the role, function and associated responsibilities, the candidate’s work experience, education/training and key skills. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

CDM Smith

Lead Data & AI Architect

FEED

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. Axle is seeking a Computational Scientist - AI/ML for Omics Integration to develop and apply advanced AI/ML approaches to integrate multi-omics datasets for comprehensive organoid characterization and quality assessment.

YEAR

<div style="font-size:10pt;font-family:'tahoma'">(ID: 2025-0404) Axle 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).</div>  Axle is seeking a Computational Scientist - AI/ML for Omics Integration to develop and apply advanced AI/ML approaches to integrate multi-omics datasets for comprehensive organoid characterization and quality assessment. This position located in Frederick, MD 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.   <div style="font-size:10pt;font-family:'tahoma'">Benefits We Offer:<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"> Overview: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. Responsibilities:<ul><li style="line-height:normal">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.</li><li style="line-height:normal">They will develop predictive models that assess organoid quality and functionality based on molecular signatures and identify biomarkers that correlate with successful organoid development.</li><li style="line-height:normal">The role involves creating computational tools for comparing organoid characteristics across different protocols and laboratories to support standardization efforts.</li><li style="line-height:normal">Collaboration with experimental teams to validate computational predictions and translate findings into actionable protocol improvements will be essential.</li></ul> Required Qualifications:<ul><li style="line-height:normal">Candidates must hold a PhD in computational biology, bioinformatics, computer science, or a related quantitative field with demonstrated experience applying AI/ML methods to biological systems.</li><li style="line-height:normal">Strong programming skills in Python and R are required, along with experience with machine learning frameworks and statistical analysis packages.</li><li style="line-height:normal">Knowledge of multi-omics data integration techniques and experience with biological pathway analysis are necessary.</li><li style="line-height:normal">Familiarity with cloud computing platforms and high-performance computing environments is required.</li></ul> Preferred Qualifications:<ul><li style="line-height:normal">Previous experience working with organoid datasets or tissue engineering applications is highly desirable.</li><li style="line-height:normal">Experience with deep learning approaches for biological data, knowledge of systems biology principles, and familiarity with network analysis methods will be considered valuable assets.</li><li style="line-height:normal">Experience with collaborative research projects and manuscript preparation is preferred.</li></ul></div> <div style="font-size:10pt;font-family:'tahoma';text-align:center">Disclaimer: 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.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.Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.comThis 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.#INDPSD</div><div class="content-pay-transparency"><div class="title" style="font-weight:600;padding-top:8px">Salary Range</div><div class="pay-range">$115,000—$130,000 USD</div></div>

Axle

Computational Scientist - AI/ML for Omics Integration

GreenHouseAPI

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. Axle 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.

<div style="font-size:10pt;font-family:'tahoma'">(ID: 2025-0402) Axle 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). Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. 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. </div><div style="font-size:10pt;font-family:'tahoma'">Benefits We Offer:<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"> OverviewThe 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. Responsibilities<ul><li style="line-height:normal">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.</li><li style="line-height:normal">They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.</li><li style="line-height:normal">The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.</li><li style="line-height:normal">Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.</li></ul> Required Qualifications<ul><li style="line-height:normal">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.</li><li style="line-height:normal">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.</li><li style="line-height:normal">Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.</li></ul> Preferred Qualifications<ul><li style="line-height:normal">Experience with organoid systems or tissue engineering applications is highly desirable.</li><li style="line-height:normal">Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.</li><li style="line-height:normal">Familiarity with cloud computing platforms and containerization technologies is preferred.</li></ul></div><div style="font-size:10pt;font-family:'tahoma';text-align:center">Disclaimer: 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.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.Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.comThis 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. </div><div class="content-pay-transparency"><div class="title" style="font-weight:600;padding-top:8px">Salary Range</div><div class="pay-range">$115,000—$130,000 USD</div></div>

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Lead Data & AI Architect CDM Smith

Computational Scientist - AI/ML for Omics Integration Axle

AI/ML Scientist/Developer Axle

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