What if cancer drugs could find the tumor – and go nowhere else? What if this meant you could get potent therapy directly to the tumor, sparing healthy cells? That’s the future we’re building at Shasqi, using Nobel Prize-winning science to unleash powerful therapies only where they’re needed. We’re a small, driven team encompassing broad backgrounds and experiences, united by a single mission: make cancer treatments more effective with minimal side effects. Our Operating Principles - We move fast because speed matters to cancer patients. - We aim to communicate openly and challenge ideas regardless of job title. - We are bold, take risks, and push boundaries being led by science. - We operate with humble confidence: meaning we can balance our sense of capability and conviction without ego, while being humble to seek advice and learn from our mistakes. If that fires you up, come build the future of cancer therapy with us! You’re the right fit for Shasqi if you.. - Are mission driven and eager to do the best work of your career, developing novel therapies that will transform cancer treatment. - Can balance scientific rigor with a fast-paced environment. - Are comfortable with ambiguity and making decisions in the face of uncertainty. - Operate with a strong sense of agency and invite feedback and advice. - Can challenge convention and think of creative solutions that meet the needs of the company. - Are a doer, hands-on, resourceful, and do not hesitate to step up. - Willing to collaborate, debate, commit to decisions clearly, and revisit when evidence demands it. Position Overview We are seeking an experienced and hands-on Principal Scientist, ADME/PK to lead and contribute to pharmacokinetics, biodistribution, and translational modeling efforts for a next-generation tumor targeting technology based on a click chemistry enabled pre-targeting. You will work at the interface of chemistry, biology, and translational sciences to design and interpret studies that contribute to therapeutic design, candidate selection, IND-enablement, and clinical strategy in a fast-paced startup environment. Key Responsibilities Strategy & Leadership - Define and execute ADME/PK strategies for pre-targeted therapeutics that consist of biologics and small molecules. - Lead PK/PD and biodistribution strategy to support platform validation and pipeline programs. - Partner cross-functionally with chemistry, protein engineering, bioanalytical, and pharmacology/toxicology teams to optimize delivery efficiency and exposure. - Serve as the subject matter expert on PK for pre-targeting systems and click chemistry-enabled therapeutics. Preclinical Development - Design, analyze, and interpret PK, biodistribution, and mass balance studies across components of the technology to guide therapeutic design, validation, and development. - Collaborate with bioanalytical assay development team to support assay development. Modeling & Translation - Build and apply PK/PD and mechanistic models to predict human dosing and scheduling. - Translate preclinical data into clinical hypotheses and first-in-human strategies. Collaboration & Communication - Work closely with CMC and analytical teams to ensure bioanalytical readiness. - Partner with toxicology and regulatory teams to support IND-enabling studies. - Present data and strategy to leadership, investors, and external collaborators. Required Qualifications - PhD in Pharmacokinetics, Pharmaceutical Sciences, Bioengineering, or related field. - 4+ years of industry experience in ADME/PK (biotech/pharma), including ADME/PK leadership on therapeutic programs. - Deep expertise in PK of biologics and/or targeted delivery systems (e.g., ADCs, radioconjugates, bispecifics). - Strong experience designing and interpreting in vivo PK and biodistribution studies. - Demonstrated experience with QSP and PK/PD modeling. - Experience with modeling tools (e.g., Phoenix WinNonlin, NONMEM, Monolix, MATLAB, or similar). Preferred Qualifications - Experience with pre-targeting approaches, multi-component therapeutics, or bioorthogonal chemistry systems. - Familiarity with click chemistry reactions (e.g., tetrazine–TCO) in biological systems. - Background in oncology, targeted therapeutics, or drug delivery platforms. - Experience with imaging-based biodistribution (e.g., PET/SPECT, fluorescence). - Knowledge of regulatory expectations for PK/ADME in IND filings. - Strong publication record and presentation skills. How We Work: - We are a remote-first company, with occasional travel for in-person team meetings or scientific conference attendance. - Core collaboration window: 9:00am–3:00pm Pacific Time. You are expected to be available during this time for meetings and real-time collaboration. - Async + sync balance: Outside of core hours, we work asynchronously, but timely communication and follow-through are expected. - Meetings: You should be comfortable joining video calls, sharing availability on calendar and actively participating during core hours. - You should be comfortable working across common tools including Zoom, Google Workspace, Microsoft 365, Slack, and similar platforms. Benefits & Eligibility Compensation at Shasqi - Competitive base salary as part of a broader total rewards package. - Equity: Included as port of total compensations. - Comprehensive benefits: medical, dental, vision, 401(k) match, short- and long-term disability. - Flexible PTO and a WFH stipend to support remote work. - Ongoing growth opportunities, professional development, and mentorship. Salary Range - The anticipated base salary range for this role is $150K–$180K USD - Final compensation will depend on location, experience, skills, education, and internal equity. - Our ranges are intentionally broad to reflect market conditions and the specialized nature of our work. Eligibility - U.S.-based employees only. - Must be authorized to work in the United States. - We are not currently sponsoring visas. About Shasqi Shasqi is a biotech company advancing a new class of targeted cancer therapies, built on Nobel prize-winning technology called click chemistry. Backed by leading biotech investors, we are building a pipeline of first-in-class therapies that are designed to overcome the limitations of ADCs increasing efficacy and limiting toxicities. Our lead asset will be entering the clinic in early 2027. You can learn more about our company at www.shasqi.com Please Note: At this time, Shasqi is not partnering with external recruiting agencies. We kindly ask that agencies refrain from contacting us regarding this role. Shasqi is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and do not discriminate on the basis of any protected characteristic under applicable law.

What if cancer drugs could find the tumor – and go nowhere else? What if this meant you could get potent therapy directly to the tumor, sparing healthy cells? That’s the future we’re building at Shasqi, using Nobel Prize-winning science to unleash powerful therapies only where they’re needed. We’re a small, driven team encompassing broad backgrounds and experiences, united by a single mission: make cancer treatments more effective with minimal side effects. Our Operating Principles - We move fast because speed matters to cancer patients. - We aim to communicate openly and challenge ideas regardless of job title. - We are bold, take risks, and push boundaries being led by science. - We operate with humble confidence: meaning we can balance our sense of capability and conviction without ego, while being humble to seek advice and learn from our mistakes. If that fires you up, come build the future of cancer therapy with us! You’re the right fit for Shasqi if you.. - Are mission driven and eager to do the best work of your career, developing novel therapies that will transform cancer treatment. - Can balance scientific rigor with a fast-paced environment. - Are comfortable with ambiguity and making decisions in the face of uncertainty. - Operate with a strong sense of agency and invite feedback and advice. - Can challenge convention and think of creative solutions that meet the needs of the company. - Are a doer, hands-on, resourceful, and do not hesitate to step up. - Willing to collaborate, debate, commit to decisions clearly, and revisit when evidence demands it. Position Overview We are seeking a strategic and hands-on Principal Scientist, Toxicology & Pharmacology to contribute to strategy and execution of nonclinical safety and pharmacology for our next-generation targeted therapy technology based on pre-targeting enabled by click chemistry. You will work together with chemistry, biology, and ADME/PK teams to design, lead, and interpret toxicology and pharmacology studies that contribute to therapeutic design, candidate selection, IND-enablement, and clinical strategy in a fast-paced startup environment. Key Responsibilities Nonclinical Safety Strategy - Contribute to and execute toxicology strategy for pre-targeted therapeutics, including IND-enabling studies. - Design GLP and non-GLP toxicology studies. - Identify, characterize, and mitigate safety risks. - Establish safety margins and therapeutic index for candidate molecules. Pharmacology & Translational Science - Contribute to pharmacology strategy to demonstrate proof of mechanism and proof of concept. - Design and interpret in vivo efficacy studies including model selection/characterization, study design, working with CROs to execute the study, and data analysis/presentation. - Define exposure-response relationships. - Collaborate on dose and schedule optimization. Cross-Functional Integration - Partner with ADME/PK to integrate pharmacokinetics, biodistribution, and exposure-response modeling. - Work closely with chemistry and protein engineering teams to guide design toward safer and more effective molecules. - Collaborate with CMC and analytical teams to ensure appropriate characterization of each therapeutic component. - Support regulatory strategy, including authoring and reviewing IND sections (e.g., nonclinical overview, tox summaries). Risk Assessment & Decision Making - Develop safety assessment frameworks tailored to our pre-targeting approach. - Drive candidate selection by balancing efficacy, exposure, and safety. - Present findings and recommendations to leadership, board members, and external partners. Required Qualifications - PhD, DVM, or equivalent in Toxicology, Pharmacology, or related discipline. - 4+ years of industry experience in nonclinical safety and/or pharmacology. - Demonstrated experience leading IND-enabling toxicology programs. - Strong background in small molecules, biologics, or targeted delivery systems (e.g., ADCs, radioconjugates, bispecifics). - Experience designing and interpreting in vivo toxicology and pharmacology studies. - Familiarity with regulatory expectations (FDA/ICH) for nonclinical development. Preferred Qualifications - Experience with pre-targeting strategies. - Familiarity with bioorthogonal click chemistry (e.g., tetrazine–TCO systems). - Background in oncology or other areas involving targeted therapies. - Experience evaluating on-target vs. off-target toxicities in complex systems. - Knowledge of safety considerations for reactive intermediates or payload-driven toxicity. - Experience integrating PK/PD and tox data for translational modeling. - Strong publication record and presentation skills. How We Work: - We are a remote-first company, with occasional travel for in-person team meetings or scientific conference attendance. - Core collaboration window: 9:00am–3:00pm Pacific Time. You are expected to be available during this time for meetings and real-time collaboration. - Async + sync balance: Outside of core hours, we work asynchronously, but timely communication and follow-through are expected. - Meetings: You should be comfortable joining video calls, sharing availability on calendar and actively participating during core hours. - You should be comfortable working across common tools including Zoom, Google Workspace, Microsoft 365, Slack, and similar platforms. Benefits & Eligibility Compensation at Shasqi - Competitive base salary as part of a broader total rewards package. - Equity: Included as port of total compensations. - Comprehensive benefits: medical, dental, vision, 401(k) match, short- and long-term disability. - Flexible PTO and a WFH stipend to support remote work. - Ongoing growth opportunities, professional development, and mentorship. Salary Range - The anticipated base salary range for this role is $150K–$180K USD. - Final compensation will depend on location, experience, skills, education, and internal equity. - Our ranges are intentionally broad to reflect market conditions and the specialized nature of our work. Eligibility - U.S.-based employees only. - Must be authorized to work in the United States. - We are not currently sponsoring visas. About Shasqi Shasqi is a biotech company advancing a new class of targeted cancer therapies, built on Nobel prize-winning technology called click chemistry. Backed by leading biotech investors, we are building a pipeline of first-in-class therapies that are designed to overcome the limitations of ADCs increasing efficacy and limiting toxicities. Our lead asset will be entering the clinic in early 2027. You can learn more about our company at www.shasqi.com Please Note: At this time, Shasqi is not partnering with external recruiting agencies. We kindly ask that agencies refrain from contacting us regarding this role. Shasqi is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and do not discriminate on the basis of any protected characteristic under applicable law.

Do you want a job with a purpose? And do you want to make healthcare safer, better and more reliable? Join our Team! Data Scientist Join us as a Data Scientist at Dedalus, one of the World’s leading healthcare technology companies, on our Analytics team in Malaga to do the best work of your career and make a profound impact in providing better care for a healthier planet. What you’ll achieve As a Data Scientist you will play a key role in ensuring the accuracy, reliability, and usability of clinical and operational data within the Analytics data pipeline. Your work will directly support data-driven insights and clinical research initiatives. Working with an extended highly skilled team, you will be making a profound impact throughout the healthcare sector. You will: - Analyze and assess Electronic Medical Record (EMR) database structures to design and implement efficient SQL queries and scripts for data extraction, transformation, and loading (ETL). - Design and implement data quality checks to identify inconsistencies, resolve issues, and ensure high data integrity across all sources. - Identify gaps and inefficiencies in the existing data pipeline and propose or implement improvements to enhance data usability and performance. - Query and analyze the analytics data sets to extract and validate data that aligns with specific clinical trial requirements. - Use Jupyter notebooks for advanced data exploration, complex queries, and reproducible analyses. - Maintain clear and comprehensive documentation for data pipelines, workflows, and related processes to ensure transparency and knowledge sharing across teams. Take the next step towards your dream career At Dedalus Life flows through our software. Every day we do something special by helping caregivers and health professionals deliver better care to their served communities. Take the next step in your career that will make a profound impact. Here’s what you’ll need to succeed: Essential Requirements - A degree in Computer Science, Data Science, Statistics, Biomedical Engineering, or a related quantitative discipline. - 3+ years of experience as a Data scientist preferably within healthcare analytics or data engineering environments. - 3+ years of programming experience in Python, with a focus on data manipulation, analysis, automation and data visualisation. - Proficiency in SQL and experience working with large, complex relational databases (preferably EMR systems). - Hands-on experience using Jupyter Notebooks for data analysis, visualisation, and reproducible research. - Solid analytical and problem-solving skills, with attention to detail and data accuracy. Desirable Requirements - Knowledge in following: - Jira - OpenSearch database - Familiarity with clinical data and the functioning of clinical trials - Healthcare standards, including HL7-FHIR, DICOM, and most used code systems in the healthcare field(SNOMED, ICD, LOINC) We are Dedalus, come join us Dedalus is committed to providing an engaging, rewarding work experience that reflects the passion our employees bring to our mission of helping clinicians and nurses deliver better care to their served communities. Our company fosters a culture where employees are encouraged to learn and innovate, and to enable and enhance clinical co-operation and processes while making a meaningful difference for millions of people around the world. Each person is the end point and the starting point of the Group’s activities and the ultimate beneficiary. For this reason, we are so proud of doing our very special jobs each day. Our company is enriched by a diverse population of 7,600 people in more than 40 countries that work together to innovate and drive better healthcare options for millions of patients around the world. We are the people of Dedalus. Application closing date: 15th May 2026 Our Diversity & Inclusion Commitment sets out Dedalus’ approach to ensuring respect, inclusion and success for all our colleagues and the wider communities we operate in. It is imperative for us to share our commitment and dedication to ensure an inclusive and diverse workplace. We recognise that we have improvements to make and, on this journey, we must remain authentic and realistic but also ambitious. Our diversity & inclusion commitment – Dedalus Global Life Flows Through Our Software #LI-FP1 #LI-Remote

• Define strategy for Supply Data Science and lead analytical foundations to optimize participant supply • Work across acquisition, onboarding, liquidity, matching, and engagement • Partner with Product, Engineering, and Operations to create roadmap of models, experiments, and decision systems