Lead AI Computational Biologist
Lead AI Computational Biologist
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$ 179 - 251
1 Vacancy
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.
About the Role
SandboxAQs AI Simulation team develops new and materials using a spectrum of AI and physicsbased computational solutions. We are seeking an experienced and innovative Senior AI Computational Biologist to amplify our ability to reason causally about biological systems based on multimodal data from a variety of inputs including simulation. The successful candidate will have significant expertise in computational biology including knowledge of cuttingedge machine learning techniques particularly involving large graph data structures such as knowledge graphs. They will have experience leading small teams in the delivery of innovative solutions to customers. 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.
What Youll Do
- Lead projects combining ML/AI solutions knowledge graphs bioinformatics biophysical simulations and software development to optimize drug discovery and development strategies.
- You will guide a technical team to innovate in areas including disease biology bioinformatics cheminformatics AI (e.g. ML NLP etc. using your blend of expertise and knowledge in these areas.
- Apply your experience in both technical leadership and people management to build a successful and inclusive team.
- Your work will directly impact decisionmaking in drug discovery and development projects.
- Partner with researchers from diverse backgrounds to develop novel computational methods to infer causality in disease progression.
- Provide broad insight and lead drug projects by providing support on studies in multiple scientific areas including target identification and validation biomarker discovery patient stratification clinical trial design etc.
- Interpret experimental data from biological studies in immunology oncology and neurodegeneration.
- Analyze omics and phenotyping data from research studies clinical trials and realworld databases to identify diseasedriving cell types pathways and genes
- Propose drug targets based on the biology insights derived from data and suggest validation experiments
About You
- Youre someone who wants to drive your own development.
- Youre looking for a company where you have the opportunity to pursue your interests across functions and geographies.
- You are inspired by our mission and have a collaborative rigorous and entrepreneurial spirit that matches SandboxAQs global culture.
- PhD in computational biology or similar field with strong innovation and publication record.
- 10 years of relevant professional experience including pharma/biotech and postdoctoral research.
- Experience mentoring direct and/or indirect reports.
- Excellent analytical capability being able to identify key questions and come up with innovative solutions for complex problems.
- You have a unique blend of passion for biology strong bioinformatics experience (omics pathway network analysis etc. AI software development and literacy on experimental biology to be an effective leader of your team.
- Enjoys the startup work culture with a great collaborative spirit.
- A strong team player with good communication skills (especially with experimental biologists).
Nice to Haves
- Proven background in physicsbased and AIbased molecular simulation.
- Experience in target identification.
- Experience in clinical development or real world data.
- Experience with biomarker discovery and translation.
- Experience with text mining or competitor information analysis.
- Solid biology knowledge in Immunology Neurodegeneration and Oncology.
- Excellent publication record.
- Willingness to travel less than 25 to conferences offsites customers and internal meetings.
The US base salary range for this fulltime position is expected to be $179k $251k 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
