Employer profile
Tamarind Bio
6 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Core Operations, part-time
San Francisco | OnSite
onsite Salary not disclosedCore Operations, part-time San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. ABOUT THE ROLE We're hiring a Core Operations (part-time) team member to act as a force multiplier for the founders, helping us operate faster and more effectively across the company. This is a high-trust, high-ownership role at the center of Tamarind. You'll work directly with the founders across day-to-day execution and strategic projects, while helping build the operational backbone of the company. The scope is intentionally broad - spanning founder support, business operations, people ops, and special projects. You'll be the person who sees what needs to get done and makes it happen. WHAT YOU'LL DO FOUNDER SUPPORT & STRATEGIC OPS - Act as a force multiplier for the founders - owning scheduling, prioritization, and day-to-day operational support - Drive special projects across the business (investor updates, customer workstreams, internal initiatives) - Build decks, reports, and materials for internal and external use BUSINESS & FINANCIAL OPS - Support AP/AR organization, tracking, and lightweight financial workflows - Maintain internal reporting
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Founding Forward Deployed Engineer
San Francisco | OnSite
onsite Salary not disclosedFounding Forward Deployed Engineer San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. FORWARD DEPLOYED ENGINEER ABOUT THE ROLE We're hiring a Forward Deployed Engineer - one of the highest-leverage roles on the team. You'll sit at the intersection of engineering, product, and customers - working directly with scientists, ML teams, and pharma stakeholders to deploy Tamarind into real-world workflows. This role owns the full arc: from first technical conversation → pilot → production deployment. Every deployment becomes a product signal, a reference customer, and a revenue driver. The customer relationship moves at the speed you move. WHAT YOU'LL DO - Work directly with customers (scientists, ML teams, pharma orgs) to understand workflows and translate needs into deployable solutions - Stand up AI/ML workflows using Tamarind's platform - often within days of initial engagement - Configure and deploy models (e.g. protein structure, docking, generative models) against real datasets - Own pilots end-to-end - from scoping to execution to expansion - Debug, adapt, and optimize workflows across compute, models, and data pipelines
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Founding GTM, BD
San Francisco | OnSite
onsite Salary not disclosedFounding GTM, BD San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. FOUNDING, GTM, SALES & PARTNERSHIPS ABOUT THE ROLE We're hiring an exceptional Founding Sales Development Representative as our first GTM hire to help scale our founder-led sales motion with enterprise customers. We've grown from 0 to multi-million ARR in under two years, working with many of the top 20 pharma companies. You'll partner directly with the founders to build the outbound engine from scratch - defining how we identify, engage, and convert customers across pharma, biotech, and research institutions. This is not a traditional SDR role. You'll operate as a foundational GTM partner, owning pipeline creation, engaging deeply with technical buyers, and helping shape how Tamarind communicates value to the market. WHAT YOU'LL DO - Build pipeline in creative ways (scientific papers, conference attendees, research labs, partnerships) - Design and execute outbound campaigns across email, LinkedIn, and other channels - Engage with scientists, ML researchers, and pharma stakeholders - translating Tamarind's capabilities into clear value - Qualify and progress
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Infrastructure Engineer
San Francisco | OnSite
onsite Salary not disclosedInfrastructure Engineer San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. 💻ABOUT THE ROLE We're looking for two Infrastructure Engineers to lead the scaling of our machine learning inference system. You'll be responsible for architecting and maintaining infrastructure that serves 150+ biological ML models, scaling our platform several orders of magnitude to meet rapidly growing demand. You'll work closely with the founders to design to the constraints of customer needs, unpredictable workloads, and unique Bio-ML models. You'll work with Kubernetes and other tools to orchestrate containerized workloads, optimize resource allocation, and ensure high availability across our model serving infrastructure. Most importantly, you should thrive in a fast-paced startup environment where you'll wear multiple hats, learn new technologies quickly, and help solve novel technical challenges. We value engineering judgment, problem-solving ability, and the capacity to build systems that can evolve with our growing needs. Techstack: - Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps. Requirements - Solid programming and automation skills - Experience with
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Founding Software Engineer
San Francisco | OnSite
onsite Salary not disclosedFounding Software Engineer San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. 💻ABOUT THE ROLE We're hiring three exceptional Founding Software Engineers to help us scale the computational biology platform that powers our drug discovery pipeline. In this role, you'll collaborate closely with the founders to design, build, and scale our infrastructure, APIs, and web interface. You'll own major pieces of our stack end-to-end - from architecture to deployment - and ship features that directly impact scientists and customers. You'll be responsible for maintaining and expanding the core systems that underpin our computational biology tooling, ensuring reliability, scalability, and performance as we grow. This is a deeply collaborative and customer-facing role. You'll work directly with users to understand their needs, translate feedback into product improvements, and deliver elegant solutions that accelerate their research. Techstack: - Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps. Week in the Life: - Partner with founders on product decisions, scope experiments, and ship quickly - Build/operate services (infra
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Computational Scientist
San Francisco | OnSite
onsite Salary not disclosedComputational Scientist San Francisco | OnSite ABOUT TAMARIND BIO We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now. New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily. 💻 ABOUT THE ROLE We're hiring a Computational Scientist to help curate, build, and scale Tamarind's library of AI-powered drug discovery tools. In this role, you'll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You'll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale. You'll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind's platform to run real biological AI pipelines. This often involves chaining multiple tools together, troubleshooting workflows, and identifying opportunities to improve the platform. This role sits at the intersection of computational biology, machine learning, and scientific infrastructure, and is ideal for someone excited about applying the latest advances in AI to real-world drug discovery programs. Our techstack: - Python, PyTorch, TensorFlow, CUDA, Conda, Docker, AWS (EC2, S3, DynamoDB), molecular modeling tools, protein design frameworks, structural biology tooling, APIs