Senior Applied Research Scientist, Bioinformatics
NVIDIA is using the power of high-performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission! We are building a team of innovative researchers at the intersection of computation, biology, and technology. You will drive the development of computational frameworks and tools that push the boundaries of what’s possible in biological discovery acting as both innovator and strategist: identifying areas where biological progress is limited by informatics challenges, and creating transformative solutions that open new frontiers. This role requires both technical mastery in bioinformatics and the ability to think like a principal investigator—formulating research directions, building tools, and collaborating widely across disciplines! What You'll Be Doing:
- Lead applied and collaborative research programs using bioinformatics, high performance computing, and deep learning for biological advancements.
- Develop and accelerate bioinformatics software and algorithms to garner understanding in biology through data analysis and machine learning applications using NVIDIA's platform.
- Partner with pioneering TechBio startups and academic collaborators to develop, incorporate, and evaluate the future of NVIDIA's accelerated solutions.
- Collaborate across fields with biologists, computer and machine learning scientists to tackle complex biological problems.
- Contribute to scientific strategy in digital biology through publications, conference attendance, and thought leadership.
What We Need To See:
- 5+ years of experience in computer science, physics, mathematics, data science, chemistry, biology, or a related field.
- PhD or equivalent experience
- Excellent collaboration and interpersonal skills, with the ability to work effectively in multi-functional teams.
- Proven skill in composing, initiating, and implementing impactful research programs independently.
- Expertise in one or more areas of digital biology, such as structural biology, molecular dynamics, or virtual screening.
- Experience with high-performance computing infrastructure, parallel programming, and GPU acceleration.
- Proficiency in crafting libraries for processing biological data through efficient implementations in C or equivalent.
Ways To Stand Out From The Crowd:
- Experience with NVIDIA's GPU and AI technologies, such as CUDA, cuDNN, and TensorRT.
- Deep familiarity developing accelerated libraries integrating biological data formats (e.g., PDB, SMILES, FASTA), databases (e.g., NCBI, UniProt, GenBank), and algorithms (e.g., Smith-Waterman, Needleman-Wunsch).
- Experience in deploying research projects as open-source software and contributing to scientific communities.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Apply tot his job Apply To this Job