About us: Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly. Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely. About the team: The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy. As a Data Scientist joining Luno, you would be part of the Data Science team providing high quality insights and data tools to teams across the company. Our current technology stack includes Databricks and Looker. The role in a nutshell: As we accelerate on our mission to upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes. Your mission will be: - Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies - Develop causal models using experiments and observational data to isolate and measure the impact of fee changes - Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail - Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership A little about you: - You are passionate about data science and related disciplines - You have experience being a technical lead or mentor to other Data Scientists - You can leverage data analytics to innovate and create out-of-the-box solutions - You are intellectually curious and have the persistence to find answers to difficult questions - You can diagnose problems using formal problem-solving tools and techniques - You communicate technical concepts to non-experts in simple and helpful terms - You are a team player, enthusiastic about growing and developing others - You can handle uncertain and ambiguous scenarios - You keep abreast of developments and emerging trends in Data Science, and influence what is next for Luno The ideal Lunaut will have: - Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics - Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms - Advanced SQL skills - 3 years + experience in pricing experimentation, data analysis and statistical modeling - Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders - Ability to work independently, as well as within and across teams - Ability to successfully complete projects with large and/or incomplete data sets - Enthusiasm to work in the crypto industry What will really get you noticed: - 3 years' + experience working in a similar role - Proven track record of analysing customer behaviour and translating insights into revenue growth - Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker - Solid knowledge of statistical and machine learning techniques - Experience with productionisng ML applications using a formalised ML Operations architecture - Experience or interest working in crypto or fintech industries Life at Luno: - Remote but reachable work policy gives you the freedom to choose between working from home or the office. - Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave. - Improve body and mind, with excellent private medical insurance - Access to Learnably and our additional learning platforms for your personal and professional development - A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts - 6 months primary care-giver leave - Paw-ternity leave for your furry friend - Free lunch and snacks - 0 fees up to a certain amount with Luno from the day you start.* *Offer only available on Luno Instant Buy, not Luno Exchange We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Bioanalytical Portfolio Scientist remote type Remote locations United States - Remote time type Full time job requisition id R-240853 Career Category Research Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Bioanalytical Portfolio Scientist What you will do Let’s do this. Let’s change the world. In this vital role you will serve as the technical subject matter expert for outsourced methods and is responsible to ensure adequate method validation and optimal method performance at CROs. The Bioanalytical Portfolio Scientist is responsible for oversight of the outsourced bioanalytical phases of studies governed by applicable GLP/GCP principles. Individuals in this role will provide scientific and technical oversight of bioanalytical activities (including pharmacokinetic [PK] and toxicokinetic [TK] analyses) performed by external contract research organizations (CROs), ensuring adherence to validated methods, data integrity standards, and alignment with study protocols and regulatory requirements. The ideal candidate will have a strong background of method development, validation, and troubleshooting in quantitative ligand-binding assays (LBA) and/or LC-MS bioanalysis, combined with excellent communication skills. This role is well suited for scientists who seek to learn more about externalized work and who thrive working with others in a collaborative manner. - Provides scientific and technical oversight for the transfer, validation, and execution for pharmacokinetic (PK) assays, ensuring adherence to sponsor requirements and current regulatory guidance on bioanalytical assays (e.g. FDA, ICH, EMEA, NMPA) - Leads the transfer and validation of PK assays at external CROs using ligand-binding, ELISA, ECL, LC-MS/MS and hybrid methodologies - Collaborates closely with internal bioanalytical subject matter experts to understand critical attributes of the PK method to ensure successful assay transfer and validation - Monitors assay performance over time and provides input for troubleshooting and continuous improvement efforts - Accountable for method lifecycle management, including review of method validation plans, protocols, reports, and qualification/bridging of reagents and reference material - Reviews analytical data, method protocol, validation/sample analysis plans, reports, and other study documentation for scientific accuracy and consistency with GLP/GCP documentation standards and current regulatory guidance - Works with cross functional partners from CROs to navigate issue resolution and escalation utilizing the governance structure - Provides subject matter expertise during supplier evaluation and monitoring activities - Follows and contributes to guidance documents and SOPs What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a scientist with these qualifications. Basic Qualifications: - Doctorate degree OR - Master’s degree and 2 years of regulated commercial scientific laboratory experience OR - Bachelor’s degree and 4 years of regulated commercial scientific laboratory experience OR - Associate’s degree and 8 years of regulated commercial scientific laboratory experience OR - High school diploma / GED and 10 years of regulated commercial scientific laboratory experience Preferred Qualifications: - Excellent communication skills - Strong project management experience - Fluency in English, both in written and oral communication - Demonstrated expertise in PK assay development, validation, and troubleshooting for LBA, LC-MS or hybrid assays - Knowledgeable on current relevant regulatory guidance/regulations (e.g. FDA, ICH, EMEA, NMPA) - Experienced in working with CROs - Project and people management - Process management and planning skills - Excellent written and verbal communication skills - Collaborates, negotiates and persuades others, both internally and externally - Openly promotes cooperation across the organization - Project and issue management skills - Drives for results; delivers processes and outcomes of the highest quality - Consistently communicates in a manner that is appropriate to the situation What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is $xxx,xxx.00 to $xxx,xxx.00. Actual salary will vary based on several factors including, but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts - A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan - Stock-based long-term incentives - Award-winning time-off plans - Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Salary Range 109,020.15USD -147,497.85 USD

• Defining and driving the technical vision and strategy for Generative AI initiatives across projects and teams • Acting as a senior technical authority on GenAI system design, agentic architectures, observability, and production readiness • Advising multiple teams on architectural decisions, trade-offs, and best practices for ML and GenAI solutions • Overseeing the design and evolution of scalable, secure, and maintainable AI platforms • Leading and supporting pre-sales and client-facing activities: Conducting technical discovery and solution design; Assessing feasibility and analyzing risks; Contributing to proposals and delivering technical presentations • Managing stakeholders effectively in complex and ambiguous environments • Mentoring both senior and junior team members, fostering technical excellence and leadership development • Collaborating with leadership to evolve processes, standards, and organizational capabilities • Anticipating technological trends and identifying opportunities for innovation and continuous improvement

Title: REMOTE- Data Scientist Location Woonsocket, Rhode Island ZIP/Postal Code 02895 Job Type Contract,Perm Possible Category Data Warehousing Req # BOS-53202189-be02-491d-9c65-0f1b49036388 Pay Rate $54 - $68 (hourly estimate) Job Description: Insight Global is looking for a remote Data Scientist to join the analytics organization at a global pharmacy retail client. This candidate will be responsible for providing machine learning modeling experience and time series forecasting for a market prioritization initiative. This candidate will be building machine learning models and utilizing time series forecasting to create data pipelines for the internal marketing tool. The ideal candidate will have over 3 years of data science experience and will have most recently worked with time series forecasting models and machine learning models. Any experience with AI tools is a plus! This is a 3 month contract with the potential for extension or conversion. The hourly rate for this role ranges from $55 - 65/hr. Exact compensation may vary based on several factors, including skills, experience, and education. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Required Skills & Experience Must Haves: - 3+ years of data science experience - 2+ year of time series forecasting experience - 2+ years of machine learning modeling experience - Strong data manipulation and pipelining skills - Strong communication and collaboration skills Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.