Contractor, Technical Science Writer

Your Role at Lila SciencesWe are on the lookout for exceptionally skilled Forward Deployed Engineers across various levels (Engineer, Senior Engineer, and Lead Engineer) to be a part of our dynamic team. Our FDEs are versatile professionals with a wide array of skills and specialized knowledge in one or more areas. This particular role in Physical Sciences demands a solid background in chemistry and materials science within an industrial manufacturing environment.As an FDE, you will work closely with our internal biotech and materials science teams as well as with external clients, immersing yourself in their challenges and swiftly developing solutions that enhance their research capabilities. You will utilize our AI and software platform tools to create custom features that cater to each customer’s specific needs. This role transcends conventional software development; it's a fast-paced, AI-driven engineering position where you will deploy production code in days rather than months.Your ContributionsCrafting, wrapping, and adapting specialized tools for data analysis, process optimization, molecular modeling, and more.Implementing tailored scientific workflows that connect with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA).Establishing real-time data pipelines that convert complex scientific data into actionable insights.Designing user-friendly interfaces that make sophisticated AI/ML functionalities accessible to scientists.Engineering solutions that evolve from proof-of-concept to enterprise-wide implementation.

Your Contribution at Lila SciencesWe are on the lookout for exceptionally skilled Forward Deployed Engineers at various levels—including Engineer, Senior Engineer, and Lead Engineer—to enhance our dynamic team. Our Forward Deployed Engineers are versatile high achievers with a comprehensive skill set and deep expertise in one or more specialized areas.As a Forward Deployed Engineer, you will work closely with our internal biotech and scientific teams, as well as engage directly with external clients. You will immerse yourself in their challenges and swiftly develop solutions that elevate their research capabilities. Utilizing our cutting-edge AI and software platforms, you will create tailored features that meet the distinct needs of each customer. This role transcends traditional software development—it's a rapid, AI-driven, impactful engineering experience where you will deliver production-ready code within days instead of months.Your Key ResponsibilitiesDesigning and customizing domain-specific tools for molecular modeling, data analysis, and process optimization.Implementing bespoke, agentic scientific workflows that synchronize with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA).Constructing real-time data pipelines that convert complex scientific data into actionable insights.Developing user-friendly interfaces that simplify complex AI/ML functionalities for scientists.Creating scalable solutions that progress from initial concepts to enterprise-wide deployment.Requirements for SuccessA background in biology, molecular science, or a related scientific discipline.Exceptional communication skills to effectively interact with both executives and manufacturing teams.Proven experience in data engineering, ETL pipelines, and managing complex datasets.Strong proficiency in full-stack development, adept in backend, frontend, and data layers.Outstanding analytical skills and the ability to navigate ambiguous requirements.A talent for product discovery and relaying requirements to the platform team.A readiness to travel to customer sites for extensive deployments.Preferred QualificationsPrior experience in customer-facing roles or consulting.Expertise in controls engineering.

Your Impact at Lila As a Machine Learning Engineer on the Physical Sciences team, you will play a pivotal role in developing and managing comprehensive, scalable machine learning workflows. These workflows will address a wide range of scientific challenges in materials science, chemistry, and physical sciences. Your contributions will be instrumental in advancing research initiatives focused on cutting-edge algorithms, driving towards the establishment of scientific superintelligence to tackle today’s most significant challenges in physical sciences. What You Will Build Design, implement, and sustain end-to-end ML pipelines, encompassing data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Productionize models and services while ensuring robust testing, observability, and documentation in collaboration with cross-functional software teams; develop CI/CD workflows and automated evaluations to facilitate safe and frequent releases. Work closely with domain scientists and platform engineers to translate research insights into high-performing, scalable systems. Participate in technical design reviews, establish coding standards, and mentor colleagues on best practices. What You’ll Need to Succeed BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. A solid foundation in Python software engineering, including testing, packaging, and typing; experience with machine learning frameworks such as PyTorch and Hugging Face. Experience deploying ML services in cloud-based environments (FastAPI/GRPC, containers, orchestration, cloud infrastructure). Hands-on experience with deploying models in production systems (LLMs, multimodal models, databases, RAG) along with strong debugging and profiling skills. Effective communication and collaboration in cross-functional settings. Bonus Points For Familiarity with scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. Experience in GPU optimization (CUDA, Triton, compilation, distributed training). Previous contributions to open-source ML or scientific software. Experience with workflow orchestration, data provenance, or large-scale computing environments. About Lila Lila Sciences stands as the pioneering platform for scientific superintelligence, offering an autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are at the forefront of a new era of limitless discovery, harnessing AI to revolutionize research and innovation in these fields.

Your Contribution at Lila Sciences At Lila Sciences, we believe that scientific discoveries only make a meaningful impact when they are effectively communicated. Our Government sector team acts as a vital link between exceptional researchers and the government clients and internal stakeholders who rely on their insights. We are on the lookout for a Physical Science Technical Writer who excels in this pivotal role. In this role, you will report to the Head of Government Partnerships and act as a crucial connector between our scientific team and the stakeholders who support and implement their research findings. You will take complex technical information, methodologies, and data and translate them into clear, credible, and actionable language. Collaborating closely with our Grants Manager, who oversees the proposal process, you will craft the technical and scientific elements that lie at the core of successful submissions. As a quality assurance gatekeeper, you will leverage your domain expertise to identify scientific inaccuracies, challenge vague claims, and ensure that all deliverables adhere to the highest standards of technical excellence before they are finalized. This position transcends mere documentation maintenance; it is a strategic communication role designed for someone with enough scientific acumen to grasp intricate research concepts and the communication prowess to convey them to non-specialist audiences. Importantly, we seek a candidate who is adept at utilizing AI tools as a productivity enhancer: a writer who can harness LLMs, create streamlined automation processes, or design workflow tools that empower individuals to achieve remarkable outcomes. Key Responsibilities Translate Scientific Research for Government StakeholdersEngage directly with Lila's scientists and engineers to fully comprehend their research, then generate briefings, white papers, and executive reports that effectively communicate scientific insights to government clients, program officers, and agency stakeholders, adjusting tone, depth, and format as needed. Proposal and Grant Development SupportCollaborate with the Grants Manager to create the technical and scientific components of proposal applications (technical narratives, methods descriptions, scientific appendices) for initiatives funded by the DOE and UK, ensuring consistency in tone, format, and compliance throughout. Content Repository and Knowledge ManagementDevelop and maintain a repository of reusable, version-controlled technical content, including vetted scientific descriptions, methods summaries, capability statements, and regulatory narratives, to facilitate efficient knowledge transfer.

Your Impact at Lila Join our dynamic and innovative AI safety team at Lila Sciences, where we prioritize talent and agency to mitigate risks associated with scientific superintelligence. Our mission is to craft and execute a tailored safety strategy that aligns with our unique objectives and deployment methods. This role involves creating technical safety strategies, engaging with the broader scientific community, and producing critical technical documentation, including evaluations focused on risk and capability assessments. What You’ll Be Creating Design and implement capability evaluations to assess scientific risks, particularly from cutting-edge scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, keeping abreast of emerging technologies and use cases. Develop and manage high-quality training and testing datasets for evaluations and safety systems. Analyze risks associated with Lila’s capabilities and their interactions with the broader ecosystem of general-purpose frontier models and specialized scientific tools. Contribute to high-quality research initiatives focused on scientific capability evaluation and restriction as needed. Assist with external communications regarding Lila’s safety initiatives. What You’ll Need to Succeed A PhD in biological sciences (e.g., molecular biology, virology, computational biology) or physical sciences (e.g., materials science, physics, chemistry, or chemical engineering), or similar experience. Proficient in scientific computing related to biological or physical sciences. Familiarity with dual-use research and dissemination issues within relevant safety, regulatory, and governance frameworks (e.g., export control, biological and chemical conventions). Exceptional communication skills to convey complex technical concepts to non-expert audiences effectively. Proven ability to lead internal and external teams in developing Lila's perspective on biological and physical risks. Demonstrated capacity to collaborate with cross-functional stakeholders (science, AI, product, policy) in a complex environment.

Your Contribution at Lila At Lila, we are assembling a highly skilled and proactive AI safety team that will collaborate with all core departments, including science, model training, and lab integration, to effectively address risks associated with scientific superintelligence. The primary mission of this team is to develop and execute a tailored safety strategy that aligns with Lila's unique objectives and deployment methodologies. This will encompass formulating technical safety strategies, engaging with the broader ecosystem, and producing technical documentation such as risk and capability assessments and safety measures. Your Responsibilities Establish the research and development strategy for Lila’s safety framework concerning biological and physical risks. Design and implement capability evaluations to identify scientific risks (both recognized and novel) arising from state-of-the-art scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, including monitoring advancements in technologies and their applications. Create and curate high-quality training and testing datasets for evaluations and safety systems. Assess risks linked to Lila’s capabilities, considering interactions with the broader ecosystem of capabilities (including general-purpose frontier models and specialized scientific tools). Contribute to extensive, high-quality research initiatives when needed for scientific capability evaluation and restriction. Engage in external communications regarding Lila’s safety initiatives. Qualifications for Success A PhD in a biological sciences field (e.g., molecular biology, virology, computational biology) or a physical sciences field (e.g., materials science, physics, chemistry, chemical or nuclear engineering) or equivalent experience. Proven track record in setting research directions for open issues surrounding dual-use risks in biological and physical sciences. Experience in scientific computing within the biological or physical sciences. Understanding of dual-use research and dissemination issues in relation to relevant safety, regulatory, and governance frameworks (e.g., export controls, biological and chemical-related conventions). Excellent communication skills, capable of articulating complex technical concepts to non-specialist audiences. Demonstrated leadership capabilities in guiding teams of internal and external collaborators in developing Lila's perspective on biological and physical risks.

Your Contribution at Lila We are looking for a dynamic Product Marketing Manager or Senior Manager specializing in Physical Sciences to spearhead the go-to-market strategy for Lila’s innovative AI-driven materials and chemistry platform. You will work at the intersection of: Physical science domains: catalysts, sorbents, coatings, lipid nanoparticles (LNPs), quantum materials, and extreme-environment materials. Autonomous experimentation: flow chemistry ecosystems, high-throughput electrocatalysis, advanced characterization workcells. AI & modeling: property prediction, design spaces, Bayesian optimization, and LLM-augmented optimization. Your goal is to articulate this technological framework into clear narratives, compelling product launches, and credible evidence that resonates with: Industrial R&D and technology leaders in energy, chemicals, and manufacturing. Sustainability and advanced materials teams. Strategic partners, national laboratories, and federal programs. What You'll Develop Go-To-Market Strategy & Launch Define and implement go-to-market plans for new physical science capabilities (e.g., catalyst discovery campaigns, LNP property prediction, flow-reactor optimization, sorbent and coating workflows), transitioning technical milestones into impactful market moments with clear offerings, timelines, and success metrics. Translate product milestones (new AI-driven feature demonstrations, CLUE campaign results, partner-ready presentations) into launch-ready packages, incorporating positioning, messaging, collateral, and enablement materials. Align product launches with key commercial initiatives in physical sciences (Accelerated By Lila, Lila Superscientists, joint development ventures, and agentic science offerings) to maximize market adoption and impact. Messaging & Positioning Develop concise, value-driven messaging that illuminates how Lila’s platform accelerates: Catalyst and materials discovery for green hydrogen and electrochemistry. LNP design and advanced materials development for transport and separations. Discovery of coatings, sorbents, and quantum/extreme-environment materials. Customize narratives for R&D executives, technical specialists, and corporate innovation/sustainability leaders, distinctly positioning Lila against traditional HTE vendors, point-solution AI tools, and contract research organizations (CROs). Content Creation Produce technical and visionary content, including: Domain-specific one-pagers and solution briefs (electrocatalysis, LNPs, sorbents, coatings, quantum materials).

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.

Lila Sciences seeks a Life Science Program Lead based in Cambridge, MA. This position centers on guiding research programs from planning through delivery, with a focus on advancing key initiatives in the life sciences. The role involves close collaboration with teams spanning multiple scientific fields and plays a key part in supporting project success. Main responsibilities Manage project planning and oversee daily execution for life science programs Work alongside multidisciplinary teams to move research initiatives forward Track progress and help ensure programs meet their objectives What we look for Genuine interest in science and research Dedication to maintaining high standards and achieving program goals Background in working with or leading cross-functional teams

Join Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.

Your Impact at Lila Sciences Become a pivotal part of the scientific revolution! We are looking for a Principal Software Engineer with extensive full-stack expertise to join our innovative software platform team. In this collaborative role, you will partner with software engineers, lab scientists, and machine learning experts to develop advanced tools for automated scientific analysis and beyond. Your responsibilities will encompass web services and data engineering, with a strong focus on Python development tailored for scientific applications. If you excel in a teamwork-oriented, fast-paced setting and adhere to best practices in version control, development workflows, and user-centered design, we would love to connect with you! Key Contributions You Will Make Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. Performance & Reliability: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps methodologies to build and deploy production-ready systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Your Impact at Lila Join our dynamic team in the Physical Sciences division as a Senior Machine Learning Engineer. In this pivotal role, you will be instrumental in shaping the infrastructure that empowers Lila’s scientific superintelligence to autonomously design, execute, and interpret intricate physics simulations. Your expertise will be critical in developing core systems that enable AI agents to reason over and control computational experiments, ranging from electronic structure calculations to surrogate-driven atomistic modeling, and beyond. Your contributions will directly enhance the capability of autonomous computational processes to explore chemical and materials landscapes with unmatched autonomy and robustness. What You Will Be Building Architect and implement agentic frameworks to support dynamic, multi-stage simulation workflows for scientific tasks. Develop pipelines that allow agents to autonomously plan, schedule, execute, and interpret computational tasks at scale. Create integration layers and APIs that connect machine learning models, large-scale simulation engines, databases, and heterogeneous compute platforms. Collaborate with AI researchers to productionize agent behaviors, including tool-use strategies, simulation-aware decision loops, and adaptive task planning. Enhance the robustness, modularity, performance, and reproducibility of agent-driven computational workflows; develop internal tooling for debugging, observability, and validation. What You’ll Need to Succeed A Master's degree or PhD in Computer Science, Machine Learning/AI, Scientific Computing, or a related technical field, or equivalent experience. Proven experience in building machine learning-driven pipelines, workflow systems, or tool-use frameworks, particularly for complex or scientific applications. Proficiency in Python and familiarity with machine learning ecosystems; experience with compiled languages such as C++, Rust, or Julia is advantageous. Understanding of large-scale scientific or engineering software, including integrating external tools into automated computational workflows. Background in distributed systems, high-performance computing environments, cloud platforms, or accelerator-based computing. A solid grasp of modern machine learning architectures and their deployment in production systems (e.g., GNNs, transformers, diffusion models, multimodal or tool-using models). Strong engineering fundamentals: reproducibility, testing, modular design, CI/CD, and scalable machine learning operations. Bonus Points For Experience developing or integrating agentic frameworks, autonomous machine learning pipelines, or multi-step tool-using agents, particularly for scientific applications.

Your Impact at Lila Sciences Lila Sciences is seeking a dynamic and visionary Director of Product, Life Sciences to lead our innovative product strategies. In this pivotal role, reporting directly to the Vice President of Life Science Product, you will be at the forefront of enhancing our therapeutic research and development capabilities, shaping the future of drug discovery, chemical synthesis, and scientific intelligence. What You'll Be Building Steer the strategic direction for developing breakthrough AI solutions in drug discovery, chemical synthesis, and molecular characterization. Convert strategic goals into comprehensive target product profiles (TPPs) and development campaigns that will empower our science and engineering teams to achieve groundbreaking innovations in life sciences. Lead customer and internal-user discovery initiatives, acting as the primary technical liaison between external customers and partners. Pinpoint and cultivate product opportunities driven by real-world discovery challenges, collaborating closely with stakeholders to ensure relevance and maximize downstream value. Transform insights into precise product requirements, acceptance criteria, and experimental plans that will guide our engineering and science teams. Oversee product execution from inception to launch, leading cross-functional teams across various disciplines including science, machine learning, automation, and software engineering. Manage resource allocations effectively (budget, compute, lab access, personnel) against a complex array of priorities. Establish clear success metrics and milestones, communicating progress to the organization, including executive leadership. What You'll Need to Succeed Advanced degree (MS, PhD, or equivalent experience) in medicinal chemistry, chemical biology, chemical engineering, biochemistry, or a related field, with a solid foundation in experimental science. 7+ years of experience in Product Management, particularly in developing new or experimental products in drug discovery, molecular profiling, machine learning, or scientific software development. In-depth understanding of drug development processes, molecular and cellular research tools, as well as wet and dry lab workflows. Experience with small molecule discovery workflows (e.g., lead optimization, ADMET profiling, synthesis planning) is highly preferred.

Your Contribution at Lila Sciences Be a part of our mission to revolutionize science! We are on the lookout for a skilled Senior Backend Software Engineer to become a vital member of our software platform team. In this role, you will work alongside talented software engineers, laboratory scientists, and machine learning engineers to develop advanced tools for automated scientific analysis and beyond. Your focus will be on Python development, web services, and data engineering, creating impactful scientific applications. If you excel in a dynamic, collaborative environment and advocate for best practices in git, development workflows, and user-centered design, we invite you to apply! Your Projects Service Design & Development: Craft and build high-performance, secure, and well-documented code that seamlessly integrates with our existing services and applications. System Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps methodologies to construct and deploy scalable production-grade systems. Collaborative Integration: Partner with ML researchers, engineers, and scientists to incorporate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Your Role at Lila Sciences Lila Sciences is an innovative startup dedicated to creating a strong, evidence-based storytelling approach that integrates AI, science, and technology. We are looking for a detail-oriented, newsroom-experienced Senior Writer / Editorial Lead to become a vital member of our MarCom team. This trusted team collaborates closely with scientists, engineers, and executive leadership. Your mission will be to drive our editorial initiatives forward swiftly and credibly, ensuring that our narratives are both accurate and accessible to a diverse audience, ranging from technical experts to the general public. This position is pivotal in translating complex scientific concepts into impactful, reliable stories. Your Contributions Collaborate with senior executives to define Lila's editorial objectives, priorities, and long-term vision. Build and oversee a diverse team of writers (both contract and full-time), assigning stories and managing the drafting process. Craft and refine high-profile articles that enhance visibility, while developing scalable processes to maintain quality as we grow. Work with scientists, engineers, and leadership to convert intricate research into credible narratives that resonate with customers, partners, governmental bodies, investors, and potential hires. Generate multi-layered content suitable for various formats, including social media posts, blogs, technical briefs, and presentations. What You'll Achieve Establish Lila's external writing standards, voice, and editorial integrity. Identify timely and relevant topics for publication, while discerning what should be omitted. Develop and manage an editorial calendar that aligns with business goals and scientific milestones. Team Leadership and Writer Development Lead a focused editorial team and a network of freelance writers. Provide clear guidelines, swift feedback, and mentorship throughout the writing process. Set standards for sourcing quality content, ensuring accurate fact-checking and prompt delivery. Hands-on Writing and Editing Create high-quality articles, explanatory pieces, technical overviews, case studies, and scripts that exemplify narrative clarity and accuracy. Executive Interviews and Ghostwriting Conduct interviews with senior executives (CEO, CSO, CTO, and other scientific leaders) to produce articles, opinion pieces, Q&As, and narrative updates on Lila's research, platform, and scientific achievements. Collaborate on ghostwriting and co-writing projects for leaders while maintaining their unique voice and technical precision.

Your Role at Lila Sciences Lila Sciences is searching for a skilled Senior Research Associate with expertise in Protein Purification, Analytics, and Developability. You will play a crucial role in the establishment and daily functioning of a cutting-edge high-throughput protein characterization platform. This position involves optimizing biophysical characterization workflows, collaborating with cross-functional teams, and ensuring the generation of high-quality, reproducible data as you contribute to the advancement of Lila's Scientific Superintelligence platform. Key Responsibilities Execute and refine high-throughput workflows for protein characterization across various modalities, including antibodies, bi-specifics, and enzymes. Operate and maintain automated chromatography systems, utilizing Size Exclusion Chromatography (SEC), Hydrophobic Interaction Chromatography (HIC), and affinity chromatography via HPLC platforms. Conduct biophysical characterization using advanced techniques such as Dynamic Light Scattering (DLS), melting temperature analysis (DSF), binding assays (BLI/SPR), and capillary electrophoresis (CE-SDS, cIEF) to evaluate protein critical quality attributes. Support workflows for characterizing protein post-translational modifications (PTMs), ensuring thorough sample preparation and precise data capture. Collaborate with scientists, engineers, and automation specialists to identify and implement enhancements in the efficiency, robustness, and scalability of developability workflows. Innovate and adjust protocols to accommodate new protein formats, targets, and analytical strategies. Ensure rigorous data quality, documentation, and reproducibility in all experiments; actively participate in knowledge sharing and continuous improvement initiatives. Work closely with computational scientists to support data analysis pipelines, data processing, and the creation of predictive models for protein characteristics.

Join Ramboll as a Director of Life Science and Pharmaceutical Innovations, where you will play a pivotal role in shaping the future of healthcare. You will lead strategic initiatives, collaborating with a talented team to drive innovation and excellence within the life sciences and pharmaceutical sectors. Your expertise will guide the development of cutting-edge solutions that enhance patient outcomes and streamline processes.

AI Resident – 2026 CohortThe AI Residency Program presents a unique, full-time research opportunity aimed at connecting cutting-edge academic research with practical industry applications, specifically in the realm of AI for materials science. As a resident, you will collaborate closely with leading scientists and engineers at Lila Sciences on impactful, open-science projects, allowing you to either delve into fundamental research or apply innovative solutions to real-world challenges.Duration: 6–12 months (with the possibility of extension)Start Dates: Initial cohort members will begin in January 2026, with rolling applications and additional intakes scheduled for Summer and Fall 2026.Cohort Size: A select group of talented residentsMentorship: Dedicated pairing with technical mentors and constructive feedback from diverse cross-functional teamsResources: Access to proprietary datasets, high-performance computing resources, and Lila’s comprehensive research infrastructureResearch areas of focus include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

Join Nuvalent as the Senior Manager of Formulation Sciences, where you will play a pivotal role in advancing our innovative drug development pipeline. In this leadership position, you will oversee the formulation and development of new therapeutic candidates, guiding projects from conception through to clinical phases. Collaborate with cross-functional teams to ensure the successful translation of scientific research into viable products.