Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Computational Scientist - Biology role involves leading analysis and assay design to advance AI-powered toxicology models, impacting drug development by replacing animal testing.
Responsibilities and impact
The candidate will analyze large multimodal toxicity datasets, design imaging assays, develop imaging algorithms, collaborate with biologists and ML researchers, and support global discovery teams in interpreting biological data.
Compensation and benefits
The position offers a competitive salary, equity participation, and a flexible, fast-paced work culture with proprietary tools and datasets access.
Experience and skills
Candidates should have experience in Python, Pandas, Numpy, Jupyter Notebooks, high-content imaging, image segmentation, assay development, and familiarity with tools like CellProfiler or Cellpose; a scientific mindset and curiosity are essential.
Career development
Opportunities include working with a world-class interdisciplinary team at the intersection of machine learning, biology, and drug discovery, contributing to impactful scientific advancements.
Work environment and culture
The company culture is flexible, fast-paced, mission-driven, and impact-focused, avoiding bureaucracy.
Company information
The company is a biotech startup founded in 2023 in San Francisco, focused on AI-driven toxicology and drug development, collaborating globally with pharma and biotech firms.
Team overview
The candidate will join a founding team of deep science and technical talent working cross-functionally with biologists and ML researchers.
Job location and travel
The job is located in San Francisco, CA, with a collaborative global work environment.
Application process
Initial interviews begin within 1-2 weeks of application, with an efficient and transparent process.
Unique job features
The role offers the unique opportunity to replace animal testing with AI models and access proprietary datasets and tools unavailable elsewhere.
Company overview
Aspire Life Sciences Search is a specialized executive search firm dedicated to the life sciences sector, focusing on recruiting top-tier talent for pharmaceutical, biotechnology, and medical device companies. They generate revenue by partnering with organizations to identify and place highly skilled professionals in leadership, scientific, and commercial roles, often working on a retained search model. Founded with a mission to bridge talent gaps in the rapidly evolving life sciences industry, the company emphasizes deep industry expertise and a personalized approach to recruitment. Candidates should note Aspire's strong reputation for building long-term client relationships and its commitment to understanding the unique needs of both employers and candidates in this niche market.
How to land this job
Tailor your resume to highlight your expertise in high-content imaging, assay development, and computational biology, emphasizing your ability to bridge biology and coding with tools like Python, Pandas, and Numpy.
Focus on showcasing experience with image segmentation and relevant software such as CellProfiler or Cellpose, as well as your skills in transforming complex biological data into actionable insights.
Apply through multiple channels including Aspire Life Sciences Search's corporate website and LinkedIn to maximize your visibility and chances of getting noticed for this cutting-edge role.
Connect with current team members or division leaders at Aspire Life Sciences Search on LinkedIn, using ice breakers such as commenting on the company's mission to replace animal testing or asking about their latest AI-driven biology projects.
Optimize your resume for ATS by incorporating keywords from the job description like 'high-content imaging,' 'toxicity dataset,' 'image segmentation,' and 'AI-powered biology' to ensure it passes initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms to apply through, and find LinkedIn contacts to network with, saving you valuable time and increasing your chances of success.
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