Generate:Biomedicines

generatebiomedicines.com

2 Jobs

325 Employees

About the Company

Pioneering generative biology to create breakthrough therapeutics.

Listed Jobs

Company Name: Generate:Biomedicines
Job Title: Machine Learning Intern
Job Description: **Job Title** Machine Learning Intern **Role Summary** Conduct summer research on generative modeling of proteins to advance therapeutic discovery. Partner with a mentor to develop and implement novel machine learning methods, produce high‑quality code, and collaborate with cross‑functional teams across the biomedicines platform. **Expectations** - Complete a 3‑month research project focused on protein sequence/structure modeling. - Present work internally at a summer symposium. - Engage with wet‑lab and computational teams, attend educational sessions, and contribute to collaborative problem solving. **Key Responsibilities** - Design, implement, and evaluate generative models for protein sequences and structures. - Apply deep‑learning frameworks (PyTorch, JAX, or TensorFlow) to develop models predicting biophysical or drug‑like properties. - Analyze high‑throughput functional data and integrate results into design pipelines. - Collaborate with mentors and team members to iterate on model architectures and software solutions. - Produce reproducible code, maintain documentation, and share findings through presentations and reports. **Required Skills** - Advanced programming in Python; experience with NumPy/Scipy, Pandas, or similar libraries. - Proficiency with deep‑learning libraries (PyTorch, JAX, or TensorFlow). - Strong statistical or machine‑learning background, including generative modeling or large‑language‑model workflows. - Ability to conceptualize, prototype, and test novel ML methodologies. - Familiarity with protein sequence or structure data (sequence alignment, structural representation, etc.) is a plus. - Experience developing agentic applications that combine LLMs with external tools (APIs, code execution) is a plus. **Required Education & Certifications** - Current PhD student (or equivalent) in Applied Mathematics, Computer Science, Computational Biology, Statistics, or a closely related field. - No additional certifications required.

Somerville, United states

On site

Fresher

03-02-2026

Company Name: Generate:Biomedicines
Job Title: Senior Software Engineer I, Cloud and DevOps
Job Description: Job title: Senior Software Engineer I, Cloud and DevOps Role Summary: Lead the design, deployment, and maintenance of a production‑grade Kubernetes and compute platform that supports machine‑learning and computational biology workloads. Deliver automation, observability, and governance solutions that reduce toil, improve performance, and enable secure, cost‑effective scaling of internal services and research pipelines. Expectations: - Operate shared clusters and CI/CD pipelines with high reliability. - Drive automation-first DevOps practices to reduce manual interventions. - Provide observability and performance insights to guide resource planning and cost optimisation. - Collaborate cross‑functionally to implement IaC, change management, and operational standards. - Mentor and partner with platform‑team members through code reviews, runbooks, and shared ownership. Key Responsibilities: 1. Build and evolve Kubernetes clusters, including upgrades, capacity planning, GPU scheduling, and incident response. 2. Automate deployment patterns, self‑service tooling, and guardrails across research and product teams. 3. Design and iterate monitoring dashboards, alerting, and instrumentation (tracing, telemetry). 4. Enhance infrastructure governance through IaC (Terraform) review, apply processes, and CI/CD reliability. 5. Develop runbooks, training materials, and operational standards to improve readiness and knowledge sharing. 6. Partner with peer engineers and business units to prioritize workload reductions, performance tuning, and cost‑efficiency initiatives. Required Skills: - 5+ years of software engineering experience. - Proven experience with Kubernetes production environments and Linux operations. - Hands‑on experience with at least one major cloud provider (AWS, GCP, or Azure). - Automation mindset: scripting, CI/CD, guardrails, and workflow optimisation. - Familiarity with observability stacks (Prometheus, Grafana, DataDog, tracing libraries). - Infrastructure‑as‑Code proficiency (Terraform, cloud‑native SDKs). - Strong problem‑solving, communication, and cross‑team collaboration abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. - Relevant certifications such as Certified Kubernetes Administrator (CKA), AWS Certified Solutions Architect, or Terraform Associate are a plus.

Somerville, United states

Hybrid

Senior

04-02-2026