About the AI Molecular Design Group in ATG: Promega’s Advanced Technologies Group (ATG) is where groundbreaking ideas take shape—an early research team dedicated to inventing new protein systems and molecular applications that drive future innovation. ATG has the freedom to explore long-term, high-impact technologies, thanks to Promega’s commitment to sustained innovation. The newly formed AI Molecular Design group is expanding this mission by integrating AI with protein evolution and small molecule design, creating tools that don’t yet exist. Working closely with biologists and chemists, this nimble, fast-moving team is for scientists who build, problem-solve, and push boundaries—turning cutting-edge ideas into reality. If you’re excited by the chance to merge AI with molecular design in a company that transforms discovery into lasting impact, ATG is the place to do it. YOUR ROLE: At Promega, we are redefining protein engineering with AI and machine learning, and we’re seeking a Bioinformatics Data Scientist to push the boundaries of computational protein design. In this role, you’ll develop and apply AI-driven protein modeling tools, working closely with experimental scientists to test and refine your predictions. This is a highly interactive position where computational work meets real-world impact, making it perfect for a scientist who thrives at the interface of AI, protein design, and collaborative discovery. If you’re ready to do groundbreaking science in an innovative environment where your work will shape the future of protein engineering, we’d love to have you join our Promega team. CORE DUTIES: 1. Drive innovation by designing and optimizing cutting-edge machine learning algorithms tailored to protein modeling and design, utilizing both proprietary and open-source models. 2. Analyze large-scale biological datasets from high-throughput screening campaigns and public databases to derive insights and accelerate research objectives. 3. Develop and apply computational models for protein structure prediction, protein design, and related bioinformatics analyses to achieve design goals. 4. Collaborate with experimental scientists to integrate computational predictions with laboratory experiments. 5. Create and manage data pipelines, ensuring the efficient processing and analysis of experimental and bioinformatics data. 6. Utilize high-performance computing resources for large-scale data analysis and model training. 7. Ensure reproducibility and version control of code and computational workflows using tools such as Git. 8. Enable the application of computational tools by internal users through accessible implementation and training. 9. Stay current with the latest developments in bioinformatics, computational biology, protein design, and machine learning. 10. Prepare and present research findings to internal teams and external stakeholders. 11. Demonstrates inclusion through their own words and actions and is accountable for a safe workspace. Acts with kindness, curiosity and respect for others. 12. Embracing and being open to incorporating Promega’s 6 Emotional & Social Intelligence (ESI) core principles in daily work. 13. Understands and complies with ethical, legal and regulatory requirements applicable to our business. KEY QUALIFICATIONS: 1. Ph.D. or Master's degree with 2 years experience, or equivalent professional experience in Bioinformatics, Computational Biology, Biophysics, Biochemistry, or a related field. 2. Strong programming skills in Python 3, with experience in bioinformatics and data science development. 3. Proficiency in applying AI/ML tools to protein modeling and protein design tasks. 4. Experience with machine learning model development and deployment of open source models, including familiarity with frameworks such as TensorFlow, Keras, Jax, or PyTorch. 5. Strong analytical and problem-solving skills, with the ability to explore complex biological data. 6. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams. PREFERRED QUALIFICATIONS: 1. Experience with large language models (LLMs) or diffusion models, particularly in applications related to protein modeling, sequence generation, or structural prediction. 2. Experience with structural bioinformatics tools and databases (e.g., Rosetta, AlphaFold, PDB). 3. Knowledge of molecular dynamics simulations and related software (e.g., GROMACS, AMBER). 4. Use of molecular modeling, simulation, or machine learning for small molecule ligand or substrate design. 5. Experience with software/script version control (e.g., Git) and automated software pipeline workflows. 6. Experience with Linux-based compute cluster and/or cloud computing. 7. Prior experience in a research and development environment within the biotechnology or pharmaceutical industry. PHYSICAL DEMANDS: 1. Ability to operate a computer and remain stationary at a desk for extended period. 2. Ability to travel domestically for conferences, training, or collaborative projects. At Promega, we value diversity and strive to create an inclusive workplace. We are proud to be an Equal Opportunity Employer, making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.