About Absci Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube. About the role Absci is seeking AI Scientists to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop AI models that generate and evaluate antibody therapeutic candidates. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico . Absci’s computational teams (including its AI Scientists) develop and validate software platforms for antibody design and in silico assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics. The ideal AI Scientist candidate will : Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic; Use their expertise to influence the AI team's research agenda while maintaining high levels of responsibility and accountability for their work; Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions; Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise. Why Absci’s AI team? Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning models, but also apply these models in real-time to generate candidate antibody therapeutics. In particular: Absci provides its AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment. Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via both in silico and in vitro experimentation. Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients. This position can be remote, hybrid, or onsite in New York, NY or Vancouver, WA. Key Responsibilities Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and physics-based antibody design and evaluation Partner with teammates in AI Research, Platform Engineering, and Computational Biology to identify key challenges and design innovative, AI-driven solutions Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies Deliver and publish high-impact research that advances Absci’s position as a thought leader in the field of AI antibody design Qualifications Compensation and Benefits The base salary range for this position is $160,000- $260,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. Absci offers highly competitive salaries and benefits including medical, dental, and vision insurance, unlimited vacation, parental leave, employee assistance programs, voluntary life and disability insurance, annual bonus potential, the ability to participate in our employee stock purchase plan, a 401(k) with a generous company match, and so much more. Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should request the recruiter or hiring manager or contact hiring@absci.com.

• Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs. • Create new benchmarks to evaluate frontier models across defined scientific and performance criteria. • Analyze production models to identify measurable areas for improvement. • Improve model performance through targeted retraining and hyperparameter search. • Deploy improved models while maintaining core model characteristics and avoiding regression. • Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows. • Implement structured evaluation methods, including rubric based scoring and LLM as a judge workflows. • Document experimental design, benchmark methodology, and performance results with clarity and precision. • Iterate rapidly in a research driven environment to increase model quality and reliability.

• Conduct applied research related to AI model evaluation, data quality, and validation methodologies • Co-author research papers, technical reports, and whitepapers • Implement research prototypes and experimental systems • Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies • Collaborate with the engineering team to translate research ideas into practical workflows • Develop experimental code and proof-of-concept implementations • Work with datasets used for training, evaluation, and benchmarking • Design experiments and analyze results • Write technical blog articles explaining recent advances in AI and ML • Translate complex research topics into accessible technical content • Support marketing and communications teams with technically accurate material • Contribute educational materials and technical explainers • Attend academic and industry conferences • Engage with researchers from AI companies and academia • Discuss research topics, evaluation challenges, and data requirements • Identify opportunities for collaboration related to dataset needs and model evaluation • Maintain professional follow-up communication after conferences

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. As a Senior Consultant in AI , you will play a key role in designing, building, and delivering modern AI/ML solutions with a high degree of independence. You bring broad hands-on expertise across AI technologies and thrive in environments that require creative problem‑solving, strong consulting skills, and the ability to translate complex client needs into scalable, high‑quality solutions. This role is ideal for someone who enjoys building, collaborating, and shaping real-world AI outcomes. Responsibilities Technical Delivery Build and deliver AI/ML and data solutions on Azure with minimal oversight. Apply modern frameworks, tools, and engineering practices to design scalable solutions. Ensure solutions meet expectations for performance, reliability, security, and quality. Client Engagement Contribute to discovery sessions and solution‑design workshops with technical insight. Translate business requirements into actionable, well‑structured technical components. Requirements Education & Experience Bachelor’s degree in Computer Science, Information Technology, or a related field preferred (or equivalent experience). 2–5 years of relevant experience with demonstrated ability to independently contribute across most areas of AI solution delivery. Prior consulting or client‑facing experience preferred. Proficiency across most of the following areas: Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows; applying tool/function calling, planner and agent-based patterns, and workflow automation engines Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus; applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches; using golden datasets, hallucination and groundedness validation, toxicity and safety testing; building telemetry and feedback loops; managing monitoring, deployment pipelines, and ongoing optimization of large language models Responsible AI, Security & Privacy – incorporating practices such as threat modeling, privacy reviews, data minimization, safety guardrails, policy enforcement, auditability, and model risk management in line with GDPR and organizational standards AI Platforms & Data Foundations – applying hands-on experience with Azure AI services, Databricks, Azure OpenAI, and related modern data platforms • Cloud Engineering – designing with APIs, containers, microservices, and DevOps pipelines to deliver scalable, cloud-native solutions Data Integration & Governance – developing and managing data pipelines; applying quality controls, metadata practices, and master data management approaches • Analytics & Visualization – delivering insights with Power BI and other visualization tools Proficiency with modern development tools (e.g., GitHub Copilot, Cursor Ability to work with little to no oversight while delivering assigned work Strong communication and collaboration skills within cross-functional teams Ability to translate technical work into business value during client interactions Ability to thrive in a fast-paced, client-focused environment • Self-starter with strong problem-solving skills and curiosity to learn Balance autonomy with teamwork, contributing reliably to larger project goals Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas This Job Posting will expire on Monday, March 9th , 2026. 3Cloud Total Rewards Highlights Include: Flexible work location with a virtual first approach to work! 401(K) with match up to 50% of your 6% contributions of eligible pay Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days Two medical plan options to allow you the choice to elect what works best for you! Option for vision and dental coverage 100% employer paid coverage for life and disability insurance Paid leave for birth parents and non-birth parents Option for Healthcare FSA, HSA, and Dependent Care FSA $67.00 monthly tech and home office allowance Utilization and/or discretionary bonus eligibility based on role Employee Assistance Program to help with everyday challenges 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range. Base Salary Range $109,800 — $164,700 USD Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas.