Role Description Terray Therapeutics is seeking a highly motivated and experienced in vivo scientist with expertise in models of autoimmunity and inflammation to join our Translational Biology team. In this role, the candidate will serve as a scientific and operational lead for outsourced in vivo pharmacology and nonclinical safety/toxicology studies, with responsibilities including study design, execution and monitoring, vendor oversight, project management and cross-functional coordination. The position will report to the Director of Translational Biology. - Provide scientific leadership and oversight for in vivo pharmacology studies focused on inflammation, autoimmunity, or related therapeutic areas in support of advancing our pipeline programs. - As the pharmacology representative, collaborate cross-functionally with preclinical teams, project leads, and external consultants to advance our pipeline programs through in vivo studies. - Lead and monitor outsourced in vivo pharmacology and nonclinical safety/toxicity studies conducted at CROs, ensuring scientific rigor, protocol compliance, data quality, and timely execution. - Contribute to study design, protocol development and review, endpoint selection and data interpretation. - Review study reports, datasets and summaries to ensure scientific accuracy and completeness. - Coordinate study timelines, logistics, milestones, budgets and deliverables across multiple external vendors and internal stakeholders. - Manage CRO relationships, including vendor selection, performance oversight, issue resolution and communication. - Maintain study documentation, ensuring compliance with regulatory requirements and company policies. - Present study updates and recommendations to project teams and leads. - Support contract management activities (scopes of work, purchase orders, invoice tracking). Qualifications - Ph.D. degree in biology, immunology, pharmacology, toxicology, or a related field. - 3+ years of experience in biotech or pharmaceutical industry supporting nonclinical drug development programs. - Strong scientific background in inflammation, immunology, or immune-related diseases. - Extensive experience with rodent in vivo pharmacology and translational disease models. - Strong scientific data analysis, interpretation, and problem-solving skills. - Strong understanding of nonclinical drug development workflow. - Experience managing or monitoring outsourced studies at CROs. - Demonstrated project management and organizational skills with the ability to manage multiple studies and priorities simultaneously. - Excellent written, verbal, and presentation skills. - Ability to work effectively in cross-functional teams and to thrive in a highly collaborative research environment. Requirements - Experience with vendor oversight, contract management, and budget tracking. - Experience supporting IND-enabling and preclinical development programs. - Knowledge of GLP and non-GLP study conduct and non-clinical assessment. - Familiarity with IACUC regulations and animal welfare standards. Benefits - Compensation: $120,000 – $175,000 annually, depending on experience. - Participation in the Company’s stock option plan. - 3% retirement safe harbor contribution. - Fully paid health, dental, vision insurance for employees, spouses, partners, and families. - Above-market life insurance and disability coverage. - Additional benefits to explore during the offer process.

• Build AI-assisted workflows and internal tooling • Prototype and productionize LLM-enabled applications • Develop scalable analytics and decision-support systems • Improve self-service data access safely and responsibly • Reduce operational burden through automation and intelligent systems • Help evolve internal governance and semantic consistency practices

Role Description Help support Auto and Home Actuarial team update Base Rate Offset tool into Python. This role requires strong Python skills as well as self-learning skills. - Contributes to the development and implementation of predictive analytics through the application of advanced statistical and analytical techniques in order to deliver data-driven insights supporting business objectives. - Uses appropriate modeling techniques to address business needs. - Utilizes broad knowledge of advanced modeling techniques and procedures to develop new modeling techniques and skills. - Conducts appropriate evaluation of model performance. - Designs and publishes reports to communicate results and track model performance. - Develops various programs including predictor and response variable programs. - Reviews programs to ensure they conform to quality standards. - Supports preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models. - Creates ad-hoc data analyses, as needed. - Communicates analytics to other modelers as well as to non-technical business partners. - Contributes to the continuous improvement of the modeling process. Qualifications - English Proficiency: Fluent (We work 100% in English) Requirements - Python - Advanced - SQL - Intermediate - Power BI - Intermediate - Excel - Intermediate Benefits - Competitive salary and performance-based bonuses - Comprehensive benefits package - Career development and training opportunities - Flexible work arrangements (remote) - Dynamic and inclusive work culture within a globally renowned group - Private Health and Dental Insurance - Pension Plan - Meals tickets - Life Insurance

Role Description 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 and visualizing data from our computational discovery platforms. - Collaborate with project teams in applying platform tools to identify and prioritize hits for follow-up synthesis, testing, and pipeline progression. - Work closely with computational and assay teams to perform hit validation analyses to evaluate how tArray platform binding profiles translate to off-platform assays. - Partner with screening teams to develop and refine target-specific screening strategies. Qualifications - BS/MS in Cheminformatics, Computational Chemistry, data science, or a related scientific discipline with a strong interest in programming and data-driven research. - Understanding of chemical structures, molecular properties, and compound profiling in the context of high-throughput screening and hit identification. - Working knowledge of Python for scientific data analysis, automation, and workflow support, including experience with libraries such as pandas, numpy, scipy, and matplotlib. - Strong expertise in SQL, including building and querying custom tables for internal workflows. - Strong problem-solving and data analysis skills with the ability to communicate scientific insights effectively. - Experience working with large, real-world scientific or laboratory datasets. - Familiarity with Linux environments and version control tools (e.g., Git). Requirements - Exposure to machine learning methods such as clustering, regression, or pattern recognition is a plus. - Exposure to cheminformatics or scientific software tools (e.g., RDKit, Spotfire, MOE, Schrodinger) is a plus. Benefits - Compensation: $120,000 – $182,000 annually, depending on experience. - Participation in the Company’s stock option plan. - 3% retirement safe harbor contribution. - Fully paid health, dental, and vision insurance for employees, spouses, partners, and families. - Above-market life insurance and disability coverage. - Additional benefits to explore during the offer process.