Software Engineer II / Senior Engineer, Life Sciences Data Science

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

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 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 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.

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.

Join Red Nucleus as we expand our Life Science Commercial Consulting team at multiple levels! This position is hybrid, based out of our Cambridge, MA office.Our mission is to advance knowledge for better lives. We achieve this by being the leading provider of strategic learning and development, scientific advisory services (including commercial, market access, and medical affairs), and medical communications solutions for the life sciences sector. Our dedicated global workforce of nearly 1,000 employees is committed to creativity, quality, and timely delivery, setting us apart in the industry.At Red Nucleus, we foster an inspiring work environment that encourages innovation and engagement. Our culture emphasizes meaningful work, strong community ties, and enjoyment. We are proud to be recognized internationally as a “Great Place to Work.”Your Role and ContributionsIn this role, you will collaborate with our Commercial Consulting team. To learn more about our commercial initiatives, please visit Commercial | Red Nucleus.As a Senior Commercial Consultant (with other roles such as Senior Analyst, Associate Consultant, Consultant, and Senior Consultant available depending on your experience and fit), you will play a vital role in our global consulting efforts. You will assist clients—including biopharmaceutical and generic manufacturers, device and diagnostic companies, as well as financial, legal, and investment firms—to achieve commercial success through advanced strategic problem-solving, market research, analytics, project planning, and client relationship management.Key Responsibilities:Oversee project capabilities and proposal development through collaboration with the project team, providing relevant secondary and primary research while identifying information gaps.Clarify ambiguous problems, pragmatically define problem-solving approaches, manage execution, and effectively delegate tasks.Facilitate communication by managing upwards and downwards to secure timely and appropriate input.Structure and review deliverables to ensure quality and precision.Promote excellent internal communication within the team.Incorporate senior feedback into the creation of deliverables and materials.Document key insights from client discussions and internal meetings.Conduct primary research interviews and other research activities.

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 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 We are on the lookout for a strategic Product Marketing Manager (Life Sciences) to spearhead the go-to-market strategies for Lila's innovative life science product portfolio. In this pivotal role, you will transform intricate AI-driven lab capabilities—such as mRNA design, DNA construct optimization, and AI-enhanced medicinal chemistry—into engaging narratives and impactful commercial propositions for: Biopharmaceutical and advanced therapy organizations R&D and CMC leaders Data science and AI teams, as well as scientific IT Collaborating closely with the Life Science Product team, you will influence the development of RNA and DNA design technologies, lead optimization offerings, and initiate early-stage commercial pilots. Your contributions will be instrumental in shaping positioning, launch plans, and evidence strategies that transition prospects from interest to committed partnerships. You will communicate value, construct distinctive narratives, and facilitate cross-functional collaboration across product, sales, and customer success teams to enhance adoption and generate measurable business outcomes. Key Responsibilities Messaging & Positioning Continuously define and refine product narratives for Lila’s life science capabilities including RNA/mRNA design, DNA constructs, protein and small molecule optimization, and AI-supported workflows. Customize messaging for targeted personas (Heads of R&D, Therapeutic Area leaders, CMC, translational and bioinformatics leads, Scientific IT) and use cases (hit-to-lead, mRNA design, in vivo CAR-T data stories). Ensure all external materials encapsulate Lila’s overarching narrative on scientific superintelligence, safety, and multi-domain learning. Go-To-Market Strategy & Launch Oversee the end-to-end go-to-market strategy for new life science capabilities: from beta/pilot phases to full-scale availability and expansion. Collaborate with Product, Commercial, and BizOps teams to establish offering frameworks (pilot scopes, pricing guidelines, AI service access models) and outline the customer journey from initial meeting to signed agreements. Synchronize milestone achievements (new RNA/DNA or medicinal chemistry capabilities, application workflows) with external launch events, PR initiatives, and sales cycles. Content & Evidence Development Create compelling technical and visionary content that brings capabilities to life: Use case briefs, technical one-pagers, and solution guides Presentation decks for customer pitches, partner discussions, and scientific conferences Blog articles, webinar scripts, demo narratives, and explainer videos in collaboration with the Brand/Creative team

Iterative Health is at the forefront of healthcare technology and services, dedicated to speeding up clinical research to enhance patient outcomes. Our Site Network includes over 70 top-tier clinical research sites across the United States and Europe, focused on accelerating the market introduction of innovative gastrointestinal (GI) and hepatology therapies. We aim to foster the success and growth of our partner sites by equipping them with advanced tech-enabled services. By integrating extensive clinical trial expertise with state-of-the-art AI, we empower research teams and study sponsors to broaden and hasten access to groundbreaking therapeutics for patients in need.About the RoleWe are looking for a meticulous and commercially savvy Manager of Account Management to oversee the comprehensive management of sponsor and CRO partnerships within our IBD, GI, and hepatology portfolio. This pivotal cross-functional role bridges commercial strategy, site operations, and sponsor collaborations. Reporting directly to the Director of Business Development, you will act as the primary internal liaison for ongoing opportunities and sponsor interactions, ensuring flawless execution from initial engagement to contract finalization. You will manage processes, metrics, and relationships that drive our commercial pipeline forward, ultimately facilitating the timely delivery of new therapies to patients.ResponsibilitiesOversee the complete internal management of sponsor opportunities from initial engagement through contract execution, serving as the key internal contact.Lead the collaborative scoping and pricing process for both new and existing sponsor opportunities.Maintain an organized and transparent commercial pipeline by providing up-to-date reports on opportunity status and next steps.Assist the Director of Business Development in sponsor interactions, including preparing materials, proposals, and ensuring high-quality execution in critical meetings.Continuously seek opportunities to enhance and streamline internal processes to speed up timelines and improve the sponsor experience.

Join lilasciences as a Technical Program Manager in the vibrant city of Cambridge, MA. In this role, you will lead cross-functional teams to drive projects that enhance our innovative life sciences solutions. Your expertise will guide the successful execution of programs from inception through completion, ensuring alignment with our strategic goals.

At Iterative Health, we are pioneering healthcare technology and services that accelerate clinical research to enhance patient outcomes. Our Iterative Health Site Network comprises over 70 premier clinical research facilities across the US and Europe, dedicated to expediting the market introduction of innovative therapies for gastrointestinal (GI) and hepatology conditions. We are committed to bolstering the success of our partner sites by equipping them with tech-driven services. By merging extensive expertise in clinical trials with advanced AI technology, we empower research teams and study sponsors to broaden and accelerate access to groundbreaking therapeutics for patients in need.About the RoleWe are redefining clinical trial methodologies in Inflammatory Bowel Disease (IBD), and we are on the lookout for a dynamic commercial leader to amplify our impact. As the Director of Life Sciences, you will steer the next phase of Iterative Health’s growth within the biopharma and biotech sectors, cultivating and expanding relationships with our key sponsors.This role is highly visible and client-centric, tailored for a strategic builder who excels at creating value within intricate partnerships, influencing senior stakeholders, and achieving significant outcomes. You will serve as the crucial link between sponsors and Iterative Health’s internal teams, ensuring we meet all commitments while adapting our solutions to the evolving landscape of clinical research.This position is perfect for a relationship-focused commercial leader who thrives in fast-paced environments and enjoys fostering deep, strategic collaborations within the life sciences domain.

Make a Significant Impact at Lila Sciences Lila Sciences is actively seeking a dynamic Associate Director or Director of Program Management in the Life Sciences sector. This pivotal role is designed for an experienced leader who will spearhead the planning, execution, and successful delivery of therapeutic programs within Lila's innovative platform. The successful candidate will directly manage projects across internal science, engineering, and automation teams dedicated to developing molecules for our partners, ensuring timelines, resource allocation, and progress tracking are meticulously maintained across diverse, multidisciplinary programs. In this capacity, you will also act as a key operational liaison with our pharmaceutical and biotech partners, guaranteeing seamless governance, communication, and delivery of project milestones. These programs involve significant scientific complexity and commercial importance, necessitating a proactive approach to driving execution in fast-paced, technically challenging environments while adeptly managing partner relationships and expectations. Your Responsibilities Lead comprehensive project management for active therapeutic initiatives, overseeing timeline development, resource coordination, milestone tracking, and dependency management among product, science, machine learning, and automation teams. Instill a sense of discipline in day-to-day execution, ensuring internal teams are aligned with clear priorities and deliverables, while swiftly addressing any identified blockers. Facilitate discussions regarding resource allocation and make trade-off decisions across a complex landscape of priorities, such as balancing AI model training experiments with immediate partnership deliverables. Create and uphold program-level reporting structures, including status updates, milestone tracking, and resource utilization insights for both internal leadership and external stakeholders. Proactively identify, communicate, and manage program risks, escalating issues as necessary and maintaining transparency with scientific and executive leadership. Organize and lead effective internal program meetings, decision-making forums, and reviews, ensuring the right information is disseminated to the appropriate stakeholders in a timely manner. Partner Engagement Act as the primary operational interface with partner organizations, coordinating joint governance, managing deliverable timelines, and fostering alignment on project milestones and expectations. Translate internal program statuses into structured updates for external partners, ensuring clarity while preserving internal complexities. Support alliance obligations, including participation in joint steering committees, milestone reporting, and deliverable handoffs.

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.

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.

The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is on the lookout for a Senior Software Engineer with deep expertise in software development, generative AI, and data science. This role is embedded within the Shorenstein Center, which focuses on critical areas of inquiry at the intersection of media, politics, and public policy. As part of our team, you will play a vital role in advancing teaching and research initiatives that strive to make a meaningful impact.Application RequirementsTo be considered, applications must include:A detailed resumeA cover letter that includes:A link to a code sample on GitHub that showcases your technical abilities, ideally a project you would enjoy discussing in an interviewA brief description of the linked projectVerification of your legal authorization to work in the United States without sponsorship for a minimum of two yearsJob-Specific Responsibilities:Your main duties will include:Independently managing complex applications/web development for large-scale projectsDesigning and implementing sophisticated software systems geared towards large-scale research projects, focusing on educational technology and generative AI tools.Utilizing recent advancements in machine learning and natural language processing to create, test, and deploy cutting-edge algorithmic tools that support empirical research.Leading and collaborating on projects that involve AI, machine learning, natural language processing, and extensive experimentation.Contributing to the design and implementation of randomized controlled trials and other empirical methodologies to assess the effectiveness of AI-driven interventions.Working closely with researchers to convert theoretical models into high-performance, production-ready systems.Co-authoring or contributing to academic papers and reports for peer-reviewed journals, conferences, and broader audiences.Keeping up with emerging technologies and research in AI, computational social science, and causal inference.Adhering to Harvard University’s IT technical standards and Code of Conduct.Projects you may be involved in include, but are not limited to:AI in Education: We are developing AI-powered technologies that exceed standard tools by providing customized support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment.

Your Role at Lila Sciences We are in search of a Senior Software Engineer to become a pivotal member of our Applied AI team, contributing to the development of our next-generation AI-powered scientific platform. This position involves designing and refining backend systems, data pipelines, and AI integrations that facilitate intelligent, data-centric applications. You will operate at the crossroads of backend engineering and machine learning, ensuring that our platform scales effectively and supports state-of-the-art applied AI methodologies such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration. This opportunity is perfect for individuals who excel at merging software engineering with applied AI, transforming research into production-level systems that foster genuine scientific breakthroughs. If you are driven by the challenge of building high-performing, sophisticated systems that maximize the utility and impact of AI, we would be eager to connect with you! Your Contributions Applied AI Integration: Design and implement backend services and data pipelines that underpin advanced AI applications, including LLMs, RAG, and agentic frameworks. API & Service Development: Create high-performance APIs and microservices that facilitate seamless interactions between AI models, scientific tools, and user-facing applications. Data Pipeline Architecture: Architect and oversee scalable pipelines adept at managing structured, unstructured, and vectorized data for AI/ML workloads. Database & Knowledge Systems: Develop and optimize SQL, NoSQL, and vector databases to ensure low-latency AI retrieval and inference tasks. Cloud & Infrastructure: Utilize AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to construct resilient, production-ready AI platforms. Performance & Reliability: Identify system bottlenecks, optimize for efficiency and speed, and guarantee the reliability and fault-tolerance of AI-driven processes. Collaboration: Work closely with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready solutions.

Collaboration Fuels Innovation. Join Roku in Revolutionizing Television ConsumptionRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with a vision to empower every television globally. As pioneers in streaming technology, our mission is to bridge the gap in the TV ecosystem, connecting viewers with their favorite content, supporting content creators in audience engagement and monetization, and offering advertisers innovative means to reach consumers effectively.From day one at Roku, you will play a crucial role in shaping the viewing experience for millions of streamers worldwide while gaining invaluable experience across diverse functions. About Our Team The Ads Analytics team is integral to Roku's Advertising division, spearheading measurement and analytics projects that inform strategic decisions across the advertising landscape. We design and manage tools that provide actionable insights for advertisers while addressing the operational and analytical requirements of our internal teams. Collaborating closely with Product Managers, Ad Sales, Ad Operations, Data Science, and various other software teams, we strive to deliver impactful solutions.

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.