• Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership • Establish clear expectations and quality standards for product analytics, experimentation, and data science work • Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration • Partner with Product and Engineering leaders to support data-informed product strategy and decision-making • Help teams connect product behavior to activation, adoption, engagement, retention, and customer value • Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results • Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes • Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt • Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality • Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders • Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence • Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work • Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed • Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions

Title: QC Scientist II Location: St. Louis Missouri United States of America Full time Remote You'll perform sophisticated analyses to ensure product quality and safety in our laboratories. As a QC Scientist II, you'll conduct complex analytical testing to support GMP manufacturing of biopharmaceutical products, from early-stage clinical development through commercial release. You'll work with analytical instruments and technologies while making a meaningful impact on patient health through precise quality control testing. Working with cross-functional teams, you'll execute validated test methods, participate in method development and validation activities, investigate out-of-specification results, and maintain detailed documentation of analyses. You'll contribute to continuous improvement initiatives and help establish robust analytical processes while adhering to cGMP requirements and safety standards. How will you get there? - Advanced degree with no prior experience, or Bachelor's degree with 2 years of experience in a GMP regulated laboratory environment performing analytical testing - Preferred Fields of Study: Chemistry, Biology, Biochemistry, or related scientific field - Expertise in analytical techniques such as HPLC, GC, CE, ELISA, PCR, and other bioanalytical methods - Proficient in aseptic techniques and environmental monitoring procedures - Strong knowledge of cGMP regulations and quality control requirements - Experience with laboratory information management systems (LIMS) and quality management systems - Excellent documentation practices and attention to detail - Strong problem-solving and analytical skills - Ability to work both independently and collaboratively - Proficiency with Microsoft Office applications - Strong written and verbal communication skills - Ability to lift up to 30 pounds and stand for extended periods - Willingness to wear required PPE including lab coat, safety glasses, and gloves - May require flexible scheduling including occasional weekend work - Experience with method validation and transfer activities preferred - Knowledge of data integrity requirements and good documentation practices - Demonstrated ability to investigate out-of-specification results and author technical reports

Role Description Reporting to the Associate Director, Analytical Sciences, the Senior Scientist, Analytical Sciences, has responsibility for the analytical aspects of drug product development and manufacturing activities across the relevant Nuvalent CRO and CDMOs. The candidate will interface with the program’s Quality Control, Drug Product, Quality Assurance, CMC Project Manager and Regulatory CMC functional representatives. Responsibilities include ensuring that drug product analytical support is timely, high quality, and consistent with the Phase-Appropriate strategy outlined by the project team and CMC Team. The candidate will support analytical activities for a clinical small molecule oncology program. This role would entail internal and external facing responsibilities as a member of the analytical sciences group on the cross-functional CMC team and through analytical leadership of key external CRO/CDMO relationships. The successful candidate needs to demonstrate a proven track record of working with CROs/CDMOs to support drug product development through the delivery of high-quality analytical methods, process support, and stability studies. The ability to thrive in a virtual environment in support of developing and delivering drug product for fast-paced clinical development programs will be critical. In addition, using strong technical analytical experience and effective knowledge of industry regulatory guidance, the candidate will support phase appropriate drug product development efforts, dissolution development, contribute to the analytical strategy and assist in the authoring and reviewing technical regulatory submission documents. Responsibilities - Lead drug product analytical method development and method validation for a clinical development program. - Author and review method development, method transfer, method validation, specification, justification of specification, and regulatory source documents. - Oversee and manage CDMO counterparts through analytical method development as well as analytical routine activities to support drug product manufacturing (release and stability testing, batch record review). - Provide internal and external leadership through management of quality events such as deviations, OOS/OOT, investigations, CAPA, etc. - Support the design of drug product stability studies, retest and shelf-life document strategy and execution. - Support analytical aspects of RSM and drug substance development and phase appropriate method validation. - Work within a cross-functional team to help design and execute control strategies in support of novel clinical therapeutics. - Assist in global regulatory CMC activities through authoring and reviewing technical and submission documents. - Integrated member of cross functional CMC team. Qualifications - 6-8 years of experience in industry or CRO. - BS or equivalent in chemistry or related discipline (3-5 years’ experience with a PhD in chemistry or related discipline). - Hands-on experience in small molecule analytical methods and method validation (HPLC, GC, LC-MS, dissolution, KF, forced degradation, etc.). - Strong scientific writing experience with the ability to author and review relevant documents (methods, protocols, reports). - Proven track record of technical contributions in a virtual environment, including working with/leading CROs and CDMOs. - Knowledge of relevant industry guidance for US and Global products and regulatory guidelines (FDA and EMA). - Knowledge of ICH guidance and pharmacopeias (USP, EP, JP, etc.). - Ability to solve analytical and QC technical challenges. - Novel drug development analytical experience. Benefits - Competitive total rewards packages. - Comprehensive benefit package including medical, dental, and vision insurance. - 401(k) retirement savings plan. - Generous paid time off (including a summer and winter company shutdown). Annual Salary Range $140,000 — $160,000 USD

• Develop and implement data science and AI models for industrial use cases • Translate business problems into analytical approaches and solutions • Perform data exploration, preparation, and feature engineering • Work with Data Engineers to ensure availability and usability of data • Collaborate with business stakeholders to ensure relevance and impact • Support the deployment of models into production environments • Monitor and improve model performance over time • Contribute to the development of scalable AI capabilities and best practices • Communicate results and insights in a clear and business-oriented way