Senior Associate Data Scientist, Molecular Data Analysis
- Employer
- Terray Therapeutics
- Location
- Monrovia, CA
- Start date
- Jul 29, 2024
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- Discipline
- Information Technology, Business/Data Analytics, Science/R&D, Biotechnology
- Required Education
- Bachelors Degree
- Position Type
- Full time
- Hotbed
- Biotech Beach, Best Places to Work
Job Details
Company Overview
Terray Therapeutics is a venture-backed biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic chemistry, automation, and nanotechnology. We’re generating chemical data purpose-built to propel drug discovery into the information age — and we’re doing it on a larger scale and faster than has ever before been possible.
Our closed loop system generates precise chemical datasets at unrivaled scale that work seamlessly with AI to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions — deriving insights that enable us to predictably create drugs for patients in need.
Position Summary
Terray is currently seeking a motivated and creative senior associate data scientist. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for analyzing data and communicating outcomes from our wet-lab and computational discovery platforms.
The core responsibilities of this position are:
- Work with wet-lab scientists to answer key questions using data from our wet-lab and computational discovery platforms
- Work with software engineers and other data scientists to incorporate these analyses and visualizations into software tools
- Leverage and develop tools for analyzing binding data from our proprietary molecule discovery platform to identify hits for program progression
- Interface with internal and external stakeholders on promising hits found on the discovery platform for multiple programs
Experience and Qualifications
Part of Terray’s success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized and empowered to be creative.
Required Qualifications:
- BS/MS in Statistics, Data Science, or related quantitative field
- Highly proficient in Python and the PyData stack (numpy, pandas, scipy, scikit-learn, etc.) and at least one plotting package
- Experience working with large, real-world, scientific data
- Proficiency in the Linux environment, experience with database languages, and experience with version control practices and tools
- Wet-lab experience and chemistry knowledge are a plus
- High through screening and/or DEL data analysis experience are a plus
Compensation Details
$116,000-$174,000 per year, participation in the Company's option plan, 3% 401K contribution, company-paid health, dental, and vision benefits.
Company
Terray is a biotechnology company with the technology, data, and mindset to radically change the way we discover and develop small molecule therapeutics. We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology. Everything the company does is grounded in an iterative approach, producing massive amounts of precise, purpose-built data that gets increasingly valuable with each cycle of design and experimentation. The company’s platform uniquely blends experimentation and computation to improve the cost, speed, and success rate of small molecule drug discovery and development.
- Website
- http://www.terraytx.com/
- Location
-
750 Royal Oaks, Suite 100
Monrovia
CA
91016
US
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