Rozwój szczepień dorosłych (Healthy Ageing) jest jednym z głównych kierunków strategicznych GSK na najbliższe lata. W związku dynamicznym rozwojem naszego portfela innowacyjnych szczepionek dla dorosłych ogłaszamy nabór na nowe stanowiska w Zespole Szczepionkowym (VBU). Konsultant Naukowy ds. Szczepień w Rynku Specjalistycznym (K/M/N) ŁÓDŹ Główne zadania/kompetencje potrzebne na stanowisku: - Wysoko rozwinięte umiejętności sprzedażowe – umiejętność zaangażowania klienta poprzez zrozumienie potrzeb jego pacjentów, merytoryczną i bazującą na argumentach medycznych dyskusję. - Doświadczenie w pracy z klientem instytucjonalnym – budowanie strategicznych sojuszy opartych na doskonałym zrozumieniu potrzeb klienta (współpraca win- win). - Sprzedaż wielokanałowa – zapewnienie doskonałego doświadczenia klienta poprzez dopasowanie narzędzi sprzedażowych do jego potrzeb. Umiejętność skutecznego wykorzystania narzędzi cyfrowych. - Analiza i przygotowanie planów terytorialnych, poszukiwanie szans do rozwoju a także wczesna identyfikacja i adresowanie wyzwań. Budowanie list targetowych w oparciu o aktualną wiedzę rynkową. - Umiejętność zarządzania terytorium bazująca na zrozumieniu i analizie danych rynkowych i insightu. - Systematyczne aktualizowanie wiedzy o produktach, wynikach badań klinicznych, strategii promocyjnej - Skuteczna współpraca z innymi działami i przedstawicielami GSK VBU. - Działanie w pełni zgodne z obowiązującymi procedurami. - Dyscyplina w realizacji założeń i celów (KPIs). Wymagania - Minimum 2-3 lata doświadczenie w pracy na stanowisku Przedstawiciela/ KAM. Znaczącym atutem będzie doświadczenie w obszarze szczepień lub wprowadzania na rynek innowacyjnego produktu w branży farmaceutycznej kierowanego do lekarzy kardiologów, diabetologów, reumatologów i nefrologów. - Odpowiedzialność za wyniki swojego terytorium. - Koncentracja na kliencie – budowanie wysokiej jakości relacji. - Dążenie do nieustanego polepszania wyników i usprawnień w pracy, poparte konkretnymi przykładami. - Samodzielność w prowadzaniu analiz i wdrażanie adekwatnych wniosków w zarządzaniu klientami. - Zwinność - chęć ciągłego uczenie się oraz poszukiwania innowacyjnych rozwiązań. - Dyscyplina w raportowaniu i realizacji zadań indywidualnych. - Działanie w pełni zgodne z wewnętrznymi procedurami. Oferujemy: - Pracę z portfolio innowacyjnych szczepień, które dają polskim pacjentom nowe możliwości profilaktyki chorób zakaźnych. - Tworzenie nowego, perspektywicznego obszaru biznesowego. - Możliwość rozwoju zawodowego. - Pracę w ambitnym i doświadczonym Zespole. - Atrakcyjny pakiet benefitów i świadczeń pracowniczych. #LI-GSK #LI-REMOTE The annual base salary in Poland for new hires in this position ranges from PLN 120,750 to PLN 201,250 gross, taking into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer’s discretion). All statutory benefits will be maintained in accordance with Polish law. Other benefits may also be offered, which may include private healthcare, additional paid days off, life insurance, private pension plan and fully paid parental leave & care of family member leave. More detailed information on the total reward package applicable to your role will be supplied during the recruitment process. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the market rate for the role. As an Inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at pl.recruitment-adjustments@gsk.com to discuss your needs. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Discover. Achieve. Succeed. #BeHere Location: US:WI:MENOMONEE FALLS at our WOODLAND PRIME 400 facility. This job is REMOTE. FTE: 1.000000 Standard Hours: 40.00 Shift: Flexible 1st shift between 7 am to 5 pm Shift Details: Holidays: Weekends: Job Summary: The Data Scientist – Principal is a senior individual contributor who partners closely with clinical, operational, and business leaders to solve complex, high impact problems using data and advanced analytics. This role focuses on framing ambiguous questions into actionable analytic strategies, designing and evaluating statistical, machine learning and AI solutions, and ensuring results are trustworthy, fair, and operationally meaningful. The ideal candidate brings deep technical expertise, strong domain expertise, and the ability to translate modeling insights into decisions that improve outcomes, efficiency, and financial performance. They will also shape analytic standards, mentor others, and influence the direction of data science capabilities across the organization EXPERIENCE DESCRIPTION: A minimum of 4 years of directly related experience with projects that include analysis, data modeling, SQL programming, dashboard/report design with visualizations, and development of technical and functional specifications. Strong experience with a variety of Business Intelligence tools. EDUCATION DESCRIPTION: Bachelors degree in Computer Science, Information Systems, Health Care Administration, Engineering or related field, or appropriate experience equivalent to a Bachelors degree, is required. SPECIAL SKILLS DESCRIPTION: Advanced structured query language (SQL) skills including data acquisition, filtering/sorting, simple and complex joins, aggregation, grouping, table population, and indexing. Advanced knowledge of additional programming language such as Python, R, SAS, or VBA. Working knowledge of process improvement methodologies and techniques. Working knowledge of healthcare operations, data sets, measurement methods, terminology, and business trends across a broad scope, or subject matter expert-level knowledge in a targeted healthcare area, such as lab or radiology. Compensation, Benefits & Perks & Benefits at Froedtert Health Pay is expected to be between: (expressed as hourly) $49.15- $84.07. Final compensation is based on experience and will be discussed with you by the recruiter during the interview process. Froedtert Health Offers a variety of perks & benefits to staff, depending on your role you may be eligible for the following: - Paid time off - Growth opportunity- Career Pathways & Career Tuition Assistance, CEU opportunities - Academic Partnership with the Medical College of Wisconsin - Referral bonuses - Retirement plan - 403b - Medical, Dental, Vision, Life Insurance, Short & Long Term Disability, Free Workplace Clinics - Employee Assistance Programs, Adoption Assistance, Healthy Contributions, Care@Work, Moving Assistance, Discounts on gym memberships, travel and other work life benefits available The Froedtert & the Medical College of Wisconsin regional health network is a partnership between Froedtert Health and the Medical College of Wisconsin supporting a shared mission of patient care, innovation, medical research and education. Our health network operates eastern Wisconsin's only academic medical center and adult Level I Trauma center engaged in thousands of clinical trials and studies. The Froedtert & MCW health network, which includes ten hospitals, nearly 2,000 physicians and more than 45 health centers and clinics draw patients from throughout the Midwest and the nation. We are proud to be an Equal Opportunity Employer who values and maintains an environment that attracts, recruits, engages and retains a diverse workforce. We welcome protected veterans to share their priority consideration status with us at 262-439-1961. We maintain a drug-free workplace and perform pre-employment substance abuse testing. During your application and interview process, if you have a need that requires an accommodation, please contact us at 262-439-1961. We will attempt to fulfill all reasonable accommodation requests.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem. We are seeking a Senior Data Scientist with strong experience in observational causal inference, experimentation, and meta-analysis to drive research for Netflix’s core product metrics. In this role, you will push forward foundational research to value member engagement signals, calibrate product tradeoffs, and ensure that our measurement strategies keep up with a quickly expanding content portfolio. You’ll work in a highly collaborative and cross-domain environment with other data scientists, research scientists, and business teams to influence and improve our product decision-making. In this role, you will: - Directly lead the research and development of our core member metrics and decision frameworks, particularly as our member base and content offerings expand. - Establish strong relationships with product, engineering, and data science partners to facilitate decision making under complex tradeoffs. - Connect and incubate new research advancements, alongside ML and research science partners across domains, to uplevel proxy metric solutions that balance performance with interpretability. - Advance our meta-analysis capabilities and collaborate on causal inference tooling. To be successful in this role, you have: - Advanced degree in Statistics, Economics, Computer Science or related quantitative field. - 5+ years of relevant experience, focused on building and delivering real-world causal and/or machine learning models with demonstrated impact. - Strong statistical knowledge and intuition across a range of methods, ideally focused on experimentation or other product analytics settings. - Strong quantitative programming skills (Python preferred), including experience with production systems. - Exceptional oral and written communication skills, with the ability to move between technical writing and high-level summaries. - Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders. - Strong product sense to balance between addressing specific stakeholder needs and investing in scalable solutions to serve general use cases. - Ability to work independently and drive your own projects. - Embody Netflix values while bringing a new perspective to continue to improve our culture. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Title: Data Scientist Senior - Model Development Location: COLORADO SPRINGS Colorado United States Type: Full-Time Job Description: Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred. As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, growing the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: - Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. - Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. - Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. - Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. - Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. - Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. - Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. - Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. - Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. - Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. - Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. - Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. - Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. - Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: - Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. - 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. - 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. - 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. - Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). - Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. - Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. - Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. - Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. - Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. - Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. - Experience guiding and mentoring junior technical staff in business interactions and model building. - Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: - Medium or large bank experience. - Strong knowledge of Python and/or SAS. - Control partner collaboration experience. - Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.