Research Scientist Biophysics
Research Scientist Biophysics
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Job Description
About SandboxAQ
SandboxAQ is a highgrowth company delivering AI solutions that address some of the worlds greatest challenges. The companys Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.
We are a global team that is techfocused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capitalbacked company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of likeminded people who value entrepreneurialism ownership and transformative impact.
SandboxAQs AI Simulation team develops new and materials using a spectrum of AI and physicsbased computational solutions. We are seeking an experienced and innovative Bioinformatics / Knowledge Graphs Researcher to amplify our ability to reason causally about biological systems based on multimodal inputs from a variety of inputs including simulation. The successful candidate will show strong ability in computational biology including knowledge of cuttingedge machine learning techniques particularly involving large graph data structures such as knowledge graphs. They will have experience creating maintainable software (Python) to those ends. These skills will be leveraged within a seasoned agile and multidisciplinary group including drug hunters with an excellent track record in drug discovery computational chemists physicists AI experts and software engineers.
Key responsibilities:
- Create and implement simulation methods to augment knowledge graphs
- Contribute to ongoing research towards applications of the above including for biomarker ID and toxicity prediction.
- Present and communicate your ideas to an interdisciplinary team including clients other scientists and nontechnical team members.
- Invent new methods for patents and white journal articles and whitepapers. Present your work and ideas at conferences and in pitch meetings.
- Work to improve human health on a social scale. Help make better and diagnostics and make the tools to do so.
Basic qualifications:
- PhD in a relevant field (biophysics computational chemistry or similar).
- At least 4 years experience developing and applying biophysical simulation techniques to generate actionable insights
- 2 years professional experience in software engineering or scientific software development
- Strong Python skills to develop simulation methods or add features to existing software both independently and with a team (version control unit tests code review)
- Track record of innovation in simulation methods and physics based property prediction
Preferred qualifications:
- Interest in and knowledge of AIbased molecular methods
- Experience with Julia and/or C
- Experience with OpenMM and small molecule libraries (RDKit OpenFF DeepChem or other)
- Willingness to travel less than 15 to conferences offsites customers and internal meetings.
The US base salary range for this fulltime position is expected to be $150k $210k per year. Our salary ranges are determined by role and level. Within the range individual pay is determined by factors including jobrelated skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Employment Type
Full-Time
