Tamarind Bio

As an Applications Scientist at Tamarind, you’ll guide customers in using state-of-the art molecular design tools, provide strategic scientific support, and produce educational content for scientists’ benefit. What you’ll do: Provide scientific support to existing and prospective customers, focusing on practical applications of molecular AI in therapeutic programs. Write high quality educational content for tens of thousands of scientists’ consumption Publish and present at scientific conferences Troubleshoot customer pipelines, tickets, tool use problems Qualifications: PhD in computational chemistry, bioinformatics, structural biology, biophysics or a related field Expertise in the application of machine learning methods for small molecule design, especially as applied to therapeutic programs Programming skills with fluency in manipulating biological data such as molecular structures, compounds, sequences, and databases Willingness to travel for conferences and customer on-site visits

As an Applications Scientist at Tamarind, you’ll guide customers in using state-of-the art molecular design tools, provide strategic scientific support, and produce educational content for scientists’ benefit. What you’ll do: Provide scientific support to existing and prospective customers, focusing on practical applications of molecular AI in therapeutic programs. Write high quality educational content for tens of thousands of scientists’ consumption Publish and present at scientific conferences Troubleshoot customer pipelines, tickets, tool use problems Qualifications: PhD in computational biology, bioinformatics, structural biology, biophysics or a related field Expertise in the application of machine learning methods for biologics design, especially as applied to therapeutic programs for antibodies, peptides, and enzymes Programming skills with fluency in manipulating biological data such as molecular structures, sequences, and databases Willingness to travel for conferences and customer on-site visits

We’re looking for an exceptional Founding SDR as our first GTM hire to scale our founder-led sales process for our enterprise customers. We’ve grown from 0 to 7 figure revenue in one year, with just the founders, going live with many of the top 20 pharma, and raising 14M. You’ll work directly with our CEO to develop and execute processes for generating and qualifying leads, managing outreach campaigns, engaging prospects throughout the pipeline, and potentially conducting field sales at industry conferences.  What you’ll do: Create pipeline in creative ways, e.g. conference attendees, scientific paper authors, tracking scientific partnerships  Build outbound campaigns (email, LinkedIn, etc.) using tools like Apollo and Clays Engage qualified leads via gotten through content, conferences, LinkedIn Navigate sales cycles, procurement processes with prospective customers ranging from large biotechs to top 5 pharma Work with engineering team to scope projects based on customer feedback and showcase product capabilities Attend and present at drug discovery conferences Requirements:  Previous experience in a sales role, selling a product at 5-7 figure ACV preferably SaaS or at a startup Willingness to travel Be based in person in San Francisco Desire to learn more about drug discovery Nice to haves: Experience in life sciences Experience in selling complex technical products Automation/technical skills

We're looking for an Infrastructure Engineer 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. Requirements Solid programming and automation skills Experience with containerization and orchestration concepts Cloud platform knowledge (AWS/GCP/Azure) Located in the SF Bay Area or able to relocate to the Bay Area Onsite expectation: Team currently onsite in SF ~5 days/week. Preferred Experience scaling production systems Kubernetes experience Infrastructure as code tools (Terraform, Pulumi) Monitoring and observability tools Experience with GPU workloads

We’re looking for a computational biologist to help us curate, build, and scale a comprehensive set of drug discovery tools. You will work directly with the founders to build and deploy tools for structure prediction, protein design, docking, scoring, and more. You’ll be working directly with customers to help them leverage the best open source software for their task, often chaining multiple tools together. We’re looking for someone excited about the latest advancements in AI drug discovery and both breadth and depth of knowledge in the field.  Qualifications and Skills Knowledge of ML and physics based tools in structural biology, protein design, molecular dynamics, protein-protein and protein-ligand docking, peptide discovery, virtual screening, etc. Knowledge of enzymology, protein therapeutics, and peptide discovery. Familiarity with literature and evolving state of the art in computational protein engineering tools AWS DevOps (DynamoDB, EC2, S3, docker, etc.) and MLOps (CUDA, conda, TensorFlow, PyTorch) Ability to develop general purpose, production-ready software Located in the SF Bay Area or able to relocate to the Bay Area Pluses: Experience developing machine learning models for proteins (language models, structure prediction, design) Knowledge of full stack software engineering, e.g. React and API development Computational chemistry, including molecular dynamics, docking, and virtual screening methodologies for small molecule discovery Graduate degree in math, CS, stats, bioengineering, comp bio, or a related field

We’re hiring 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. Ideal Qualifications: Adaptability and openness to work on diverse problems (e.g. batch HPC scaling, frontend development, automated fine-tuning…) AWS DevOps (DynamoDB, EC2, S3, docker, K8s, etc.) and MLOps (CUDA, Conda, Tensorflow, PyTorch) Fullstack development Located in the SF Bay Area or able to relocate to the Bay Area Pluses: Experience with AI/ML models across various architectures and environments Technology Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more.