Company Description DNAnexus is the leading cloud-based SaaS company serving the global life science community. DNAnexus’ health informatics platform serves customers across a spectrum of industries — government, biopharmaceutical, clinical diagnostics, healthcare, and academic research in 33 countries with compliant protection of data, privacy, and intellectual property. The platform provides a secure and collaborative environment where genomics, multi-omics, and real world data can be combined with clinical data at scale, providing new insights that can lead to improved diagnostics, new targeted therapies and better patient care. Job Description Team Summary Our platform manages over 125 petabytes of data, processes 50 billion records, and handles 3 billion API calls monthly. With thousands of users depending on us, there is a clear imperative to leverage powerful frontier LLM models and execute on DNAnexus’ Agentic Platform. The platform enables agent-based systems to provide clinical and molecular data workflows in a highly scalable and regulated (PHI) environment. The goal is to enable more intelligent, automated, and reliable execution of complex scientific data processes in the cloud. Who We’re Looking For We are seeking a highly autonomous and product-minded Senior Software Engineer. This critical role requires robust technical skills in software development and data management and a willingness to learn about molecular data and bioinformatician workflows. - Product minded/agile mindset is required for the position - knowing that the optimal solution may evolve within six months due to the rapidly changing AI ecosystem. - Strong understanding of modern LLM techniques and AI harness principles combined with experience in deploying them within production environments - Backend generalist navigating technical ambiguity with a flexible, learning-oriented approach. Responsibilities - Design, build, and maintain scalable clinical and molecular data systems - Develop cloud-native infrastructure for large-scale biomedical workloads - Contribute to AI/agent-based systems for scientific and clinical workflows - Apply LLMs and AI primitives in production within regulated environments (PHI) - Ensure high reliability, performance, and quality of delivered systems - Collaborate with global engineering teams (including US-based counterparts) - Drive engineering best practices (testing, CI/CD, observability, delivery discipline) - Evaluate and select technologies in a rapidly evolving AI ecosystem Qualifications - 5+ years of software development experience. - Proficiency in core development tools: Python (occasionally TypeScript), Linux Shell, Bash, Git, Docker, and SQL. - Ability to assess and select the right technology for the Agentic platform, keeping pace with an ecosystem that changes every six months. - Nice to Have: Proven experience designing and/or implementing Agentic systems. - Proficiency in computing fundamentals, including cloud computing (e.g., AWS). - Experience in data modeling, with an understanding of database management systems. - Experience in executing the end-to-end software development lifecycle, including agile delivery, automated testing, CI/CD, and continuous process improvement. Additional Information Based in Mountain View, California, DNAnexus is experiencing rapid growth and is searching for the best talent to join our team. We recently completed a $200 million financing round to advance our growth globally to further serve leading healthcare and life science organizations. Key investors include Google Ventures, Perceptive Advisors, Northpond Ventures, TPG Biotech, and Foresite Capital. DNAnexus will provide the necessary support to enable the ideal candidate to work remotely within the Czech Republic. - Department: Engineering

• Gain exposure to the full stack of the Unibuddy platform across web, native, and backend to deliver engaging solutions to users and customers • Work directly with products that provide experiences and tools to prospective students to engage with universities • Enable university staff and ambassadors to have positive conversations and valuable data, ultimately increasing yield • Work with a modern tech stack and AI systems to bring powerful features to customers and users

We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities - Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). - Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. - End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. - LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. - AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. - Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. - Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements - BSc in Computer Science, Mathematics, or related field. - 5+ years of professional experience working on AI/ML projects. - Good command of English and Arabic (written and spoken). - Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). - Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. - Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. - Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. - Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications - Knowledge of C++ or C# for performance-critical modules. - Experience deploying models via Docker, Kubernetes, or cloud AI services. - Exposure to vector databases and RAG workflows. - Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). - Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). - Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) - Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. - Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. - Familiarity with modern data lake architectures and scalable data storage concepts.

Title: GMT Scaffold Tech (Rotational Schedule) - Prudhoe Bay, AK Location: Prudhoe Bay United States Job Description: Requisition ID PRU0131 Reporting Location Alaska Job Field (Function / Discipline) Scaffolder Primary Location Prudhoe Bay, Alaska, United States This is a remote/ rotational position, in Prudhoe Bay, AK. The typical schedule is 84 hours per week (40 hours straight time and a minimum of 44 hours at time and a half). All meals and lodging are provided by Worley while the employee is on location. Transportation between Anchorage and Prudhoe Bay is provided. Worley offers a competitive benefits package, with company paid short-term disability, life insurance, paid sick leave, and 4.5% employer match on 401k. Job Purpose: The GMT - Scaffold Tech performs craft level scaffold support in accordance with all safety, environmental and operational practices and policies and procedures. The GMT-Scaffold Tech performs duties under the supervision of Scaffold Lead associated with the erection and dismantling of various types of scaffold for use by other crafts. Essential Job Functions: - Construct, erect, maintain and dismantle scaffold per OSHA, ADOSH, and client specifications. - Use multiple scaffold systems including construction grade lumber and patented pre-manufactured scaffold components. - Provide coaching, mentoring in the craft of scaffolding to other crew members. - Willing to learn and develop skills in other craft areas to improve the crew’s performance. - Comply with specifications requirements in scaffolding and mechanical applications. - Performs many types of work, including but not limited to, scaffolding, light pipefitting, tank cleaning, light valve repair, Sheetmetal, insulation, and miscellaneous facility maintenance. - Examine work and materials for compliance with specifications. - Attend various technical, developmental and safety training. - Routinely performs safety and scaffolding component integrity inspections. - Demonstrate adherence to established safety policies and procedures and accept accountability for safe work practices. - Demonstrate support for the company’s environmental management system. Knowledge Skills and Abilities: - Knowledge of standard rigging procedures and OSHA requirement. - Knowledge of scaffolding techniques and procedures required, skill in erecting multi scaffold systems, with tube & clamp and Safeway scaffold systems. - Knowledge of various fasteners, hardware, materials, and other commonly used scaffolding components. - Knowledge of crane and hand signals. - Knowledge of OSHA and ADOSH scaffold specifications. - Ability to problem solve and come up with solutions to everyday maintenance issues. - Ability to lead and train others on scaffolding. - Ability to give and understand common hand signals and to safely connect to and lift equipment and materials. - Ability to read and interpret drawings and specifications as they pertain to scaffolding. - Ability to work comfortably at heights and adhere to fall protection policies and procedures. - Ability to work as part of a team; communicate effectively with fellow workers and alternate. - Operate vehicles (pickups, flatbed F-550 trucks) and other equipment (manlifts, material handling and etc). - Ability to perform strenuous physical labor in harsh winter conditions and hot environments. - Ability to work independently with minimal supervision. Physical Demand/Work Environment: Work is performed in a remote Arctic environment with limited medical resources. Candidate understands the site is approximately 840 miles (at least 4 hours by air ambulance) from surgical, specialist, and tertiary medical care, and where medical evacuation from this location may be significantly delayed due to weather conditions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the essential functions of this job, the employee is required to: - Must have ability to stand, walk on level, uneven and slippery surfaces, sit, squat, kneel, crawl, reach through low and high ranges, work overhead, and exhibit normal balance and coordination. These basic physical requirements are essential for safe performance of the job in harsh environments with exposure to very cold temperatures and while wearing arctic gear. - Standing for prolonged periods of time. - Driving for prolonged periods of time in the dark and inclement weather - Ability to climb scaffold, ramps, stairs, equipment, portable ladders, and/or wellhouse/tank/facility fixed ladders of 20 feet or greater. - Ability to wear and utilize fall protection within manufacturer specifications. - Lift 50 lbs. from floor to waist with two hands. - Lift 50 lbs. from floor to shoulder with two hands. - Carry 50 lbs. for 15 feet with two hands. - Push/pull 60 lbs. sled for 20 feet. - Push/pull 90 lbs. cart for 20 feet. This job description is intended to describe the nature and level of work being performed by people assigned to this position. It is not to be construed as an exhaustive list of all responsibilities and duties required of the job incumbents. Worley provides reasonable accommodation to qualified individuals with disabilities, including both applicants and employees, to allow the individual to perform the essential functions of the job, unless doing so would create an undue hardship. In-Vehicle Monitoring System: As part of our commitment to safety and accountability, company vehicles are equipped with in-cab cameras and vehicle monitoring systems. These systems may record video and audio, as well as collect GPS location, vehicle speed, harsh braking, rapid acceleration and other driving behaviors. All data is subject to review by management to ensure compliance with company policies and safe driving practices. - One (1) year minimum experience as a competent scaffold builder. - Valid driver’s license and the ability to be insured by Worley auto insurer. - High school diploma or equivalent GED. - North Slope Training Cooperative (NSTC). Worley can provide NSTC certification training, if needed. Preferred Qualifications: - Two (2) years scaffold experience petrochemical, oilfield, or arctic experience. - Experience with other crafts, such as Sheetmetal, insulation, pipefitting, and valves. - Experience or previous employment with Worley. - Alaska resident capable of short notice mobilization. - Class B CDL. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.