Scientist - Preclinical Development, Translational Biology
- Employer
- Terray Therapeutics
- Location
- Monrovia, California, US
- Salary
- Competitive
- Closing date
- Feb 10, 2025
View more categoriesView less categories
- Sector
- Academic / Research
- Field
- Development
- Discipline
- Biology
- Salary Type
- Salary
- Employment Type
- Full time
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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 Therapeutics is seeking a highly motivated, creative, and experienced immunologist to join our Translational Biology team. In this role, the candidate will play a pivotal role in exploring the mechanisms of action of novel small molecule inhibitors for immune modulation, and in supporting translational efforts from preclinical development to early clinical stages. The position will report to the Director of Translational Biology.The core responsibilities of this position are:
- Cell-based assay mechanistic studies
- Review the literature to gain a comprehensive understanding of therapeutic targets of interest
- Develop and optimize cell-based assays to support lead candidate selection and/or broader understanding of the therapeutic potential of small molecule inhibitors
- Design and execute studies to elucidate the mechanism of action of novel small molecule inhibitors
- Disease-relevant mechanistic studies
- Design and establish disease relevant assays to provide supporting data for different therapeutic indications and/or rodent models of diseases
- Support in vivo pharmacology efforts with ex vivo studies associated with PK-PD or disease models
- Biomarker assay development
- Identify and develop biomarker assays for early clinical trials
- Facilitate the transfer of biomarker assays to CRO for phase 1 studies
- Data analysis and collaboration
- Analyze and interpret experimental data, and communicate results in our project team meetings
- Collaborate across multidisciplinary teams including chemistry, platform, screening and data teams to efficiently move projects forward
- Lab support
- Assist in evaluating and setting up new lab instrumentation
- Contribute to the organization and maintenance of lab equipment as needed
- PhD with 5+ years of academic/industry research experience in immunology, immuno-oncology, or a related field
- In-depth knowledge of autoimmune and inflammatory disease models is highly desirable
- Background in small molecule drug discovery strongly preferred
- Proficiency in standard immunological assays (primary cell isolation and culture, flow cytometry, cytokine detection and gene expression analysis)
- Extensive hands-on experience with western-blotting, immunoprecipitation and similar protein sciences techniques
- Experience with screening small molecules in medium through-put cell-based assays and small molecule mechanism of action studies ideas
- Experience with molecular biology techniques and cell line construction
- Excellent organizational, interpersonal and communication skills and can thrive in a highly collaborative research environment
- Demonstrated technical proficiency, ability to troubleshoot to solve problems and to deliver high quality data
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