Compute Engineering Lead

Inductive Bio is a pioneering AI medicinal chemistry partner dedicated to revolutionizing drug discovery. We create innovative virtual labs that empower drug discovery teams to make informed decisions more efficiently throughout the entire DMTA cycle. Our advanced platform features Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI-driven medicinal chemistry assistant. In collaboration with Enamine, we provide library synthesis and direct-to-dose testing, seamlessly bridging the gap between computational design and experimental validation. Together, we fuel numerous small molecule and beyond-rule-of-five initiatives for our biotech and pharmaceutical partners.Beacon-1 has consistently excelled, securing 1st place in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing industry giants like Merck & Co and NVIDIA, as well as EMD Serono. Our efforts have garnered $30M in funding from notable investors such as Obvious Ventures, a16z Bio + Health, and Lux Capital, in addition to being awarded $21M from the ARPA-H CATALYST program to advance next-generation toxicity models.The RoleWe are in search of an experienced computational or medicinal chemist to join our dynamic Product Science team as a Product Scientist. In this pivotal role, you will be the primary scientific liaison for partner projects, leveraging your expertise in medicinal chemistry, computational chemistry, and DMPK to tackle complex molecular optimization challenges with an emphasis on dose-centric solutions. You will engage with a diverse array of small molecule modalities, therapeutic areas, and modeling obstacles.As a thought leader in the evolution of Inductive's platform, you will contribute to the enhancement of our predictive models and dose projection tools, as well as Indy, our AI medicinal chemistry assistant, drawing from your own experiences and insights gained from real-world partner programs. We seek an individual whose instincts regarding small molecule optimization are honed through extensive hands-on experience, and who is eager to utilize these instincts to shape products that empower drug discovery teams.Your Responsibilities:Partner-Facing ScienceCultivate and manage the scientific relationships with partner project teams across various modalities, including reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals.Organize and clarify complex program data. Analyze structure-activity relationships (SAR), discern the insights provided by the data, and proactively address inconsistencies before they lead to detrimental decisions.Steer medicinal chemistry strategies: determine what to synthesize, what to test, how to prioritize compounds for further development, and where to allocate synthetic resources. Identify potential liabilities early in the process and assist partners in constructing risk mitigation plans.

About Inductive Bio Inductive Bio partners with biotech and pharmaceutical companies to accelerate drug discovery using AI-driven virtual labs. Our platform supports the full Design-Make-Test-Analyze (DMTA) cycle, combining Beacon-1 ADMET prediction models, human dose estimation tools, and Indy, our AI medicinal chemistry assistant. Working closely with CROs, we offer advanced synthesis, direct-to-dose testing, and cost-effective tier 1 ADME panels to bridge computational design with experimental validation. Our work spans small molecule and beyond-rule-of-five programs. Beacon-1 technology earned first place in the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing companies such as Merck & Co + NVIDIA and EMD Serono. We have raised $30 million from investors including Obvious Ventures, a16z Bio + Health, and Lux Capital, and received a $21 million ARPA-H CATALYST award to develop next-generation toxicity models. Role Overview: AI-Driven Medicinal Chemist We are hiring a Medicinal Chemist to help shape our AI-centric drug discovery platform. This position reports to the Head of Medicinal Chemistry and plays a key part in every stage of the DMTA cycle. Location New York City, San Francisco, or Boston What You Will Do Serve as an embedded expert across partner drug discovery programs, supporting work from lead generation through development candidate nomination for a range of small molecule modalities. Work closely with computational chemistry, DMPK, and machine learning teams, applying both Inductive’s tools and your medicinal chemistry experience as a consultant on partner projects. Enhance value for partners by integrating Inductive’s experimental services, predictive models, and AI workflows with our chemistry and assay CRO partners to test hypotheses efficiently. Help develop an AI-native drug discovery platform that speeds the path of drugs to the clinic. Shape the evolution of Indy (our AI medicinal chemistry agent) and build assay and synthesis workflows for faster, higher-quality results. Advance Inductive’s mission by building industry relationships, engaging with current and prospective partners, gathering insights from drug discovery teams, attending conferences, giving presentations, and authoring blog posts and publications.

Join Normal Computing and Shape the Future of TechnologyAt Normal Computing, we develop pioneering software and hardware solutions that drive innovation in the semiconductor industry, bolster critical AI infrastructure, and enhance the interconnected systems that power our modern world. Our collaborative team spans across major cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Impact:As a Forward-Deployed Product Manager (FDPM), you will be at the cutting edge of Normal's product development. You will work closely with our key semiconductor partners, ensuring the success of Normal's products within their operations. This role encompasses the entire journey—from identifying initial use cases to facilitating widespread adoption and influencing the future of Normal’s product offerings. The solutions you create will reach every Normal customer globally.Your collaboration will extend to senior leadership teams of the world’s most influential companies, allowing you to operate with significant autonomy, backed by Normal’s extensive resources and relationships.You are adept at engaging with diverse stakeholders, from strategic conversations with senior executives to detailed discussions with engineers. Having successfully launched products that achieved tangible adoption and outcomes, you are driven to expand your impact on more significant challenges at a larger scale.Key Responsibilities:Lead product initiatives for our essential customers. Own product success throughout the engagement lifecycle—from initial discovery to large-scale production adoption—ensuring the Normal EDA platform becomes integral to chip design processes and generates measurable results.Act as a trusted advisor. Cultivate trust within our customer organizations—not merely as a vendor, but as a key partner who comprehends their business needs deeply to build tailored solutions. You will articulate and deliver the product vision for Normal within their context.Drive opportunity identification. Approach each engagement with insightful perspectives rather than just questions. Analyze customer operations, pinpoint where Normal EDA can significantly enhance outcomes, and convert those insights into actionable product hypotheses. Define new use cases and collaborate closely with our engineering team to materialize validated hypotheses into functional product features.Influence Normal’s product roadmap. Transform customer insights into structured product directions and priorities. Differentiate between unique constraints and systemic opportunities, directly influencing how Normal EDA evolves to meet market demands.

At Garner Health, we are on a mission to revolutionize the healthcare economy by delivering high-quality and affordable care for everyone.We are fundamentally reshaping the way healthcare operates in the U.S. by collaborating with employers to redesign healthcare benefits through transparent incentives and robust, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, creating a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare funds more effectively, and physicians are acknowledged for providing outstanding care instead of merely increasing the number of procedures performed.Garner is among the fastest-growing healthcare technology companies in the nation. Our products are trusted by the most discerning employers and providers in the industry, and we are assembling a team of talented, mission-driven professionals who are eager to create a significant impact on healthcare at scale.About the Role:We are in search of an exceptional Data Scientist II to join our Central Data team. Reporting to the Director of Data Science & Analytics, this pivotal role is crucial in shaping Garner’s Product & Growth strategy—from assessing product impact to developing models that drive user engagement. You will work in tandem with data, product, and engineering teams to enhance the effectiveness of Garner’s member-facing product by addressing questions such as, “Which features drive user engagement?”, “What is the optimal time and channel for member outreach?”, and “What data concepts must we expand to better understand what motivates members to engage with Garner?” Your contributions will have a direct influence on our member-facing products and guide strategic product decisions.Where You Will Work:This position is based in our New York City office, with a requirement to work on-site three days a week (Tuesday, Wednesday, and Thursday).Your Responsibilities:Identify and evaluate product success through goal setting, A/B testing, forecasting, and monitoring key product metrics to discern trends.Oversee projects from inception to completion, including problem definition, implementation, validation, and iteration.Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI and machine learning models.Collaborate cross-functionally with data scientists, product leaders, engineering, and operations teams to define metrics and success criteria.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

About Genesis Molecular AIGenesis Molecular AI integrates advanced molecular machine learning with robust physics principles to unearth innovative small molecule therapies for serious health conditions. Our cutting-edge molecular AI platform, GEMS, utilizes generative models alongside high-throughput molecular simulations to navigate chemical space and prioritize compounds with unparalleled speed and precision.About the TeamOur computational chemistry group collaborates closely with machine learning researchers, medicinal chemists, and biologists to transform our computational models into viable drug candidates for our internal projects and pharmaceutical partners.You will be part of a team guided by seasoned drug discovery experts and method developers specializing in statistical mechanics, free energy methodologies, and computer-aided drug design.About the RoleWe seek a binding free energy specialist who possesses both the theoretical acumen to propose innovative methodological concepts and the programming skills essential for their execution. This role will advance free energy methodologies across our platform and oversee their implementation.You will be the go-to expert for our teams requiring physics-based rankings of high-affinity binders, particularly in potency ranges where existing models begin to plateau. Your contributions will significantly influence our compound selection process, determining which molecules progress in development and expediting our discovery of optimal therapies for patients.This position is not simply about executing established processes. A deep understanding of theoretical frameworks and a hands-on approach to developing and deploying tools is crucial.What You Will Do:Lead the binding free energy functionAssume responsibility for small molecule binding free energy calculations that directly impact project decisions.Establish best practice protocols across various programs, refining them as the platform evolves.Enhance and optimize existing methodsRefine current methods and codebases (e.g., FEP, TI, and associated alchemical/free energy workflows).

At OXMAN, we are revolutionizing the intersection of design, technology, and biology to create innovative products and environments on multiple scales. Our unique approach transcends traditional boundaries, allowing design to inform scientific inquiry and vice versa. In a world where human-centric design has often distanced us from the natural environment, we advocate for a Nature-centric philosophy. This perspective not only seeks to mend the rift caused by design but also harnesses its potential to create harmonious solutions that benefit both humanity and nature. By emphasizing interconnectedness and designing for systems-level impact, we aim to transcend basic maintenance and instead foster the advancement of the natural world.Key ResponsibilitiesConceptualization and Research: Conduct comprehensive research to identify key behaviors and interactions within ecosystems to develop a robust conceptual framework for ecosystem modeling.Ecosystem Dynamics Modeling: Lead the modeling efforts to simulate core ecosystem dynamics and interactions identified during the conceptualization phase, including aspects such as plant growth and succession.Quantitative Metrics Development: Create quantitative metrics to evaluate ecosystem health, stability, and the services they provide.Implementation and Documentation: Implement models within an efficient computational framework, ensuring thorough documentation for usability and reproducibility.Data Integration: Assist in the collection and integration of environmental, ecological, and spatial data to support model parameters and validate outcomes.Data Analysis: Perform data analysis to extract crucial insights for the development and validation of ecosystem models.Technical Documentation: Prepare detailed documentation outlining model assumptions, data sources, code structure, and operational guidelines for model usage and maintenance.Collaborative Communication: Maintain ongoing communication with the OXMAN team to facilitate research review, implementation, and integration within their workflows.Participate in regular progress meetings (weekly or biweekly) to discuss ongoing projects and updates.

The City of New York is seeking a dedicated and detail-oriented Computer Associate for our Operations team. This role is crucial in ensuring the smooth functioning of our computer systems and supporting various operational needs across departments.

Role overview The City of New York seeks a Computer Systems Manager to oversee and maintain IT systems and infrastructure. This role ensures that technology supports city operations efficiently and securely, with a focus on reliability and protection of information. Key responsibilities Direct the management and ongoing improvement of IT systems and infrastructure. Collaborate with departments to align technology with organizational goals. Supervise daily operations to keep systems secure and dependable. Oversee multiple projects, managing priorities and meeting deadlines. Troubleshoot and resolve issues to enhance system performance. Requirements Background in managing computer systems and IT infrastructure. Demonstrated leadership and strong organizational abilities. Experience coordinating with various teams and stakeholders. Skilled at problem-solving and managing several projects at once. Location This position is based in New York City.

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

Join Normal Computing | Explore Incredible OpportunitiesAt Normal Computing, we are pioneers in developing foundational software and hardware that drive technological advancements across various sectors, including the semiconductor industry and critical AI infrastructure. Our collaborative team spans New York, San Francisco, Copenhagen, Seoul, and London, united in our mission to innovate.Your Impact and Responsibilities:As a Software Engineer specializing in product engineering within Normal EDA, you will play a vital role in creating intuitive interfaces and workflows for hardware engineers tasked with designing and verifying cutting-edge chips. Your work will focus on architecting user experiences that simplify AI-assisted semiconductor verification, ensuring they are both powerful and accessible. Engaging with users to gather insights and identify areas for improvement will be a crucial part of your role. While prior experience in the semiconductor or hardware sector is advantageous, it is not mandatory.You will tackle complex technical challenges at the intersection of AI and product engineering, developing solution designs and incremental improvements to deliver new features. Ownership of APIs and schemas that support your frontend development, as well as collaboration with backend engineers, will be integral to your success.We seek engineers who are enthusiastic about solving real-world challenges in intricate technical domains, creating user-centric interfaces that enhance productivity. If you are driven to develop reliable, high-performance systems and design seamless AI-powered workflows, this position offers a unique opportunity to make a substantial impact on the industry.

Join Posh as a Senior Data ScientistAt Posh, we are on a mission to combat the growing loneliness epidemic exacerbated by digital social platforms. We empower individuals to forge real-life communities based on shared interests, creating a vibrant space for genuine connections.Our platform, designed by event organizers frustrated with current social tools, facilitates community building, event management, and monetization. In just five years, we've expanded to over 7 million users and processed more than $300 million in transactions, supported by $70 million in venture funding.Your RoleAs a Senior Data Scientist, you will play a pivotal role in developing our personalization and recommendation systems. You will lead the creation of our core algorithms, define our modeling strategy, and establish data standards organization-wide.Your responsibilities will encompass the full machine learning lifecycle, from identifying new data sources to evaluating model performance, directly influencing product experiences and user engagement.Collaboration is key; you’ll work closely with Product and Engineering teams to establish feature requirements and ensure the accuracy of our datasets. Your expertise will help maintain data integrity and model performance as we scale.This is an on-site position in our vibrant New York City office, located in the heart of SoHo. We believe in building live experiences and cultivating a passionate team environment.

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

The City of New York seeks a City Research Scientist to assist with research projects that inform public policy and improve city services. This position plays a part in supporting data-driven work across several municipal departments. Role overview This role focuses on conducting research and analysis that helps guide decisions within city agencies. The work directly impacts how policies are developed and how services are delivered to residents. Key responsibilities Support research projects for city departments Contribute to data analysis that shapes public policy Help strengthen city services through evidence-based recommendations Location This position is based in New York City.

Join OXMAN, a pioneering nature-based research and design firm located in the heart of Manhattan, where we are dedicated to transforming the connection between humanity and the environment. Our multidisciplinary approach spans architecture, ecology, materials science, and computation, enabling us to craft innovative, nature-centric solutions to pressing environmental issues.EDENAt OXMAN, we recognize the essential services that nature provides for human survival—such as carbon sequestration, water filtration, and air production. Through our initiative EDEN, we aim to enhance and regenerate these natural processes by fostering biodiverse and resilient ecosystems that support all forms of life.EDEN serves as a digital design environment for engineering and designing ecosystems, adeptly modeling the complex flows, relationships, and processes that sustain them. We develop tools that measure how landscapes can be engineered to achieve specific performance targets—whether that’s cooling urban areas, filtering water, sequestering carbon, or safeguarding vital species. These tools are instrumental in guiding the creation of ecologically vibrant sites.A single hectare of expertly designed landscape can absorb up to four times the annual emissions of an average home, filter enough water for thirteen neighborhoods, and lower ambient temperatures by over ten degrees. EDEN empowers designers to plan purposefully for these outcomes through analysis, simulation, and optimization, effectively translating ecological functionality into actionable design metrics.Our design team collaborates closely with clients on site-specific objectives, ranging from logistics hubs and residential developments to rewilding projects and climate-resilient initiatives. Together, we are crafting biodiverse and productive environments that benefit both humanity and nature.Role OverviewOXMAN is on the lookout for a talented Computational Designer to join the EDEN design team. This role focuses on developing procedural design workflows that incorporate ecological intelligence into architectural, landscape, and planning projects.Situated at the crossroads of design, data, and simulation, the ideal candidate will be proficient in Houdini workflows, utilizing procedural systems to investigate, analyze, and visualize intricate spatial relationships. We seek a creative thinker with a systems-oriented mindset and meticulous attention to detail—capable of converting ecological and environmental data into dynamic, rule-based geometries that drive practical design choices.

Role Overview The City of New York is hiring an entry-level Computer Associate (Software) to help build and maintain software applications for city operations. This role supports essential services and contributes to technology that serves New Yorkers every day. What You Will Do Develop and maintain software tools used across city departments Work alongside a team focused on improving city services through technology Support ongoing projects that impact daily life in New York City Location Position based in New York City.

**This position may offer the flexibility of remote work for up to 2 days per week, under the Flexible Work Pilot Program.**The NYC Department of Consumer and Worker Protection (DCWP) stands as the foremost municipal enforcement agency in the United States, dedicated to fostering economic justice. The DCWP utilizes its regulatory power to provide New Yorkers with tangible economic relief and shield them from predatory, misleading, and unfair practices that infringe upon their consumer and worker rights. This includes the implementation of innovative protections, such as the City’s Consumer Protection Law, Protected Time Off Law, Fair Workweek Law, and Delivery Worker Laws. By licensing over 45,000 businesses across more than 45 industries, DCWP promotes fair competition and a level playing field, essential for the responsible small businesses that underpin New York City’s dynamic communities. Furthermore, DCWP offers vital services like free tax preparation and financial counseling, ensuring that New Yorkers can retain more of their earnings and plan effectively for their futures. Committed to making New York City a fairer and more affordable place to call home, DCWP invites you to learn more by visiting their website at nyc.gov/dcwp, subscribing to their newsletter, or following them on platforms like X, Facebook, Instagram, and YouTube.The Office of Labor Policy & Standards (OLPS) is responsible for enforcing the City’s worker protection laws, including the Protected Time Off Law, Fair Workweek scheduling laws for fast food and retail workers, and Delivery Worker Laws that protect independent contractors in the delivery industry. OLPS administers the Freelance Isn’t Free Act (FIFA) program, which aids freelance workers facing wage theft and other violations. We work diligently to secure monetary compensation for affected workers and ensure corporate compliance with the law. More information regarding our office can be found at nyc.gov/workers.OLPS is searching for a Data Scientist to play a pivotal role in enforcing groundbreaking legal protections for workers. The Data Scientist will collaborate closely with the Office’s Investigation and Litigation teams to formulate and execute strategies for discovering, collecting, and analyzing employer data related to compliance with city workplace laws. Responsibilities will include utilizing this data to uncover violations of NYC workplace laws, verifying claims from both employers and workers, calculating employee relief and civil penalties, and guiding investigators in gathering testimonial evidence and other documentation. The Data Scientist will also contribute to the development of systems aimed at automating and standardizing data collection and analysis, playing an essential role in ensuring that working New Yorkers can access their legal protections. Since its inception in 2016, OLPS has garnered a reputation as a leader in leveraging data analytics within its domain, and the successful candidate will be joining a growing and innovative team of data professionals.

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

Join our dynamic team at Anthropic as a Research Engineer or Research Scientist specializing in Tokens. In this role, you will engage in groundbreaking research and development, contributing to the advancement of our token systems and enhancing their capabilities. Your work will be pivotal in shaping the future of our technology and driving innovation in our projects.