Deep Genomics

www.deepgenomics.com

2 Jobs

98 Employees

About the Company

Deep Genomics is using artificial intelligence to build a new universe of life-saving genetic therapies. The future of medicine will rely on artificial intelligence, because biology is too complex for humans to understand. At Deep Genomics, our geneticists, molecular biologists and chemists develop new ways of detecting and treating disease using our biologically accurate artificial intelligence technology.

Listed Jobs

Company Name: Deep Genomics
Job Title: (Senior / Staff) Research Scientist, Machine Learning
Job Description: Job Title: Senior/Staff Research Scientist, Machine Learning Role Summary: Lead the development and deployment of cutting‑edge deep learning architectures for large‑scale biological sequence data, driving innovative AI solutions that impact drug discovery and genome biology. Expactations: - PhD in Machine Learning / CS / Statistics / Physics or equivalent. - Strong publication record in top ML conferences or high‑impact journals. - 2+ years in industrial R&D or competitive academia. - Proven ability to design, train, debug, and scale high‑performance neural models. - Experience with large datasets and cloud‑based training (e.g., GCP). - Excellent communication and mentorship skills. Key Responsibilities: - Design novel deep learning models and training paradigms (supervised, self‑supervised, generative, multi‑modal). - Collaborate with computational biologists to translate biological challenges into ML problems. - Implement, benchmark, and validate models, ensuring scientific rigor and impact. - Keep abreast of ML advances, identifying cross‑disciplinary applications. - Mentor junior scientists and engineers; conduct high‑quality code reviews. - Present findings internally; publish results in peer‑reviewed venues. Required Skills: - Deep understanding of Transformers, state‑space models, LLMs, and sequence modeling. - Proficiency in PyTorch or JAX for model development and deployment. - Expertise in large‑scale data pipelines and distributed training. - Strong problem‑solving mindset with track record of impactful research solutions. - Clear verbal and written communication across technical and non‑technical audiences. Required Education & Certifications: - PhD (or equivalent) in Machine Learning, Computer Science, Statistics, Physics, or related quantitative field. - Certifications in advanced deep learning or cloud computing preferred (e.g., GCP for AI, AWS Certified Machine Learning).

Company Name: Deep Genomics
Job Title: Software Engineering Intern (Full Stack)
Job Description: **Job Title** Software Engineering Intern (Full Stack) **Role Summary** Internally develop and enhance web tools for an AI‑driven drug discovery platform. The role focuses on front‑end development with React/TypeScript while contributing across the stack—Python back‑end, SQL databases, cloud deployment, and CI/CD pipelines. **Expectations** - Collaborate with senior engineers to deliver user‑centric features. - Write clean, maintainable code and unit tests. - Deploy services to GCP using Docker and automate with CI tools. - Rapidly iterate on UI/UX based on stakeholder feedback. **Key Responsibilities** 1. Build and maintain Single‑Page Applications using React, TypeScript, Redux Toolkit, and MaterialUI. 2. Design intuitive, responsive UI components and create mockups for user stories. 3. Implement RESTful APIs in Python (Flask/FastAPI) to expose data for front‑end consumption. 4. Work with SQL databases (PostgreSQL/MySQL) for data persistence and querying. 5. Containerize applications with Docker, configure CI pipelines (e.g., CircleCI) for automated testing and deployment to GCP. 6. Manage source control with Git/GitHub, follow branch‑based workflows, and participate in code reviews. 7. Validate code against unit and integration tests, ensuring high test coverage. 8. Document APIs, data models, and deployment procedures. **Required Skills** - Proficient in React and TypeScript with SPA development experience. - Experience writing unit tests (Jest/React Testing Library). - Python programming for REST API development. - Familiarity with Git/GitHub and collaborative workflows. - SQL database design and query writing. - Basic cloud deployment (GCP), Docker, and CI/CD setup. - Strong UI/UX sense: translate requirements into clean interfaces. - Ability to prototype quickly with mockups and iterate. **Required Education & Certifications** - Current enrollment (or recent graduation) in Bachelor’s or Master’s program in Computer Science, Software Engineering, or a related field. - Coursework or equivalent experience in full‑stack development, API design, and cloud technologies. - No mandatory certifications required.