Senior Scientist Salary at Qi2 BETA

Just-Evotec is seeking a motivated and creative Senior Scientist who desires a significant opportunity to improve worldwide access to biotherapeutics. The candidate will join a fast-paced, collaborative, and multidisciplinary team to develop and execute methods for the functional and potency assessment and impurity monitoring of biotherapeutics. As a key member of the analytical development group, the successful candidate will have significant experience in cell-based assay, immunoassay, and qPCR method development and qualification/validation, as well as strong experimental design and data analysis skills. Previous experience in biosimilar development, participation in CMC teams, and experience authoring regulatory documents is highly desirable. The ideal candidate has strong written and verbal communication skill, multitasks effectively, works well independently and in teams, and is excited about ways to improve technology. The candidate will also be involved in leading cross-functio

Variant Bio is a Seattle-based biotechnology company leveraging the power of human genetic diversity to develop life-saving therapies. To achieve this goal, we are studying the genes of people who are outliers for medically relevant traits, then translating insights from this research into the discovery and development of new therapeutics. Variant Bio has raised $130mm to support the rapid advancement of the company's research and development work. Our investors include Lux Capital, Alta Partners, General Catalyst, SoftBank Vision Fund, Cercano Management and Casdin Capital, among others. Our growing team of geneticists, medical researchers, biologists, and drug hunters is working to advance multiple projects through target validation, lead optimization, and into the clinic, in relentless pursuit of our goal to bring life-saving therapies to patients. Ethics is at the foundation of everything we do at Variant Bio. Our genomic research studies are co-designed with local partners around

Company Overview Immunome is a clinical-stage targeted oncology company committed to developing first- and best-in-class targeted therapies designed to improve outcomes for cancer patients. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge targeted cancer therapies, including antibody-drug conjugate therapies (ADCs.) Our most advanced pipeline programs are varegacestat (formerly AL102), a gamma secretase inhibitor which is currently in a Phase 3 trial for treatment of desmoid tumors, IM-1021, a ROR1 ADC with an active IND, and IM-3050, a FAP-targeted radioligand, which is the subject of an IND expected to be submitted in the first quarter of 2025. Our pipeline also includes IM-1617, IM-1335, and IM-1340, all of which are preclinical ADCs pursuing undisclosed targets with expression in multiple solid tumors. Position Overview Immunome is seeking a skilled and

Description As a Principal Scientist in Ring and Blink, you will have deep subject matter expertise in the areas of Artificial Intelligence. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. More specifically, you will provide thought leadership on and lead strategic efforts in Computer Vision (CV) and Machine Learning (ML) areas for Ring and Blink, covering themes including but not limited to 3D vision, SLAM, Classic Deep Learning, and Generative AI, and work with Product, Science, and Engineering teams to deliver short- and long-term CV/ML solutions in production for optimized edge-based solutions to large-scale models. Finally, you will work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring. Basic Qualifications - PhD, or Master's degree and 10+ years of Computer Vision and Machine Learning or related field experience - Experience pr

About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role You will be responsible for advancing molecular screening platforms, protein engineering, and data-driven discovery methodologies in the context of antibody discovery workflows. You will play a key role in driving innovation across multidisciplinary teams and ensuring high throughput and efficiency in discover

A clinical-stage bio-pharmaceutical company focused on cancer treatments is seeking a Senior Scientist to enhance its in-house large language model (LLM) for sequence-to-structure-to-activity relationship modeling in antibody discovery, protein engineering, and immuno-oncology applications. In this role, you will design, develop, and implement AI models, data pipelines, and parallel computing architectures to accelerate the discovery and development of novel therapeutics using in-house LLM implementations to accelerate therapeutic discovery. Key Responsibilities: Fine-tune Llama 3.3 models for sequence-to-structure-to-activity predictions, incorporating domain-specific knowledge. Design data generation pipelines and develop algorithms for data processing and augmentation. Fine-tune Llama 3.3 using internal R&D data to optimize model performance. Integrate language models to store data in a vector database for processing and design. Implement data flow management from laboratory systems

Description We are seeking a senior scientist with demonstrated experience in A/B testing along with related experience with observational causal modeling (e.g. synthetic controls, causal matrix completion). Our team owns "causal inference as a service" for the Pricing and Promotions organization; we run A/B tests on new pricing, promotions, and pricing/promotions CX algorithms and, where experimentation is impractical, conduct observational causal studies. Key job responsibilities We are seeking a senior scientist to help envision, design, and build the next generation of pricing, promotions, and pricing/promotions CX for Amazon. On our team, you will work at the intersection of economic theory, statistical inference, and machine learning to design and implement in production new statistical methods for measuring causal effects of an extensive array of business policies. This position is perfect for someone who has a deep and broad analytic background, is passionate about using mathem

Description The Private Brands team is looking for an Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights. We are an interdisciplinary team of Scientists, Engineers, and Economists and primary focus on building optimization and machine learning solutions in supply chain domain with specific focus on Amazon private brand products. Key job responsibilities You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economis