Join Atomic AI as a Scientist to develop machine learning models for RNA structure prediction and drug targeting.
Posted by employer 8 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We build artificial intelligence to pioneer new frontiers in drug discovery.
Requirements
- Experience
- 4+ years
- Education
- PhD
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Scientist on the Machine Learning team at Atomic AI, the individual will focus on advancing the company's technology platform for RNA structure prediction and drug discovery through the development of innovative machine learning models. Key skills include proficiency in Python and deep learning frameworks, alongside a strong foundation in machine learning principles. This position is ideal for candidates with a Ph.D. or equivalent experience in relevant fields and a background in scientific applications of machine learning. The collaborative environment emphasizes interdisciplinary teamwork and the proactive shaping of the company's scientific vision.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Atomic AI's career page.
- 6517 active Python roles on Joblaze right now.
- 798 active Machine Learning roles on Joblaze right now.
- 480 active PyTorch roles on Joblaze right now.
- Salary band is in line with the typical range for AI/ML roles (median ~$188,000).
- Pays more than 58% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Atomic AI lists $170,000–$220,000 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Scientist, Machine Learning role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JAX, Machine Learning, PyTorch, Python, RNA structure prediction, drug discovery.
- What seniority level is this role?
- Atomic AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Scientist, Machine Learning role at Atomic AI.
From the original posting
At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and unique foundation models fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success.
The opportunity
As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company.
Primary responsibilities
- Design and develop novel machine learning models for RNA structure prediction and drug targeting.
- Evaluate and advance the state of the art of our structure prediction platform.
- Collaborate with our wetlab team on the targeted acquisition of experimental data to improve our machine learning models.
- Develop high-quality code in a team setting.
- Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.
- Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.
About you
- Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.
- 4+ years of experience developing machine learning methods for scientific applications.
- Foundational knowledge of machine learning and underlying mathematical concepts.
- Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
- Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.
Pluses
- Publications at major machine learning conferences or in major scientific journal
- Research experience related to structural biology, molecular design, and drug discovery.
- Foundational knowledge of physics, chemistry, and molecular biology.
- Demonstrated ability to develop performant code.
Salary Range (all levels): $170,000/year to $220,000/year + equity + benefits. This range reflects variations in seniority, expertise, and skills.
Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.