Senior Data Scientist jobs at Merck

We are looking for a Senior Developer/Analyst to support high-impact initiatives in the financial services domain. The ideal candidate will leverage strong data and business analysis skills to deliver actionable insights and build robust data solutions in a fast-paced Agile environment. Responsibilities: • Design and maintain process flows, data models and analytic solutions using SAS, SQL, and Python/PySpark. • Deliver high-quality dashboards and visualizations using Tableau or similar tools. • Collaborate with cross-functional stakeholders to understand business needs and translate them into analytical solutions. • Follow Agile and data development best practices for sprint-based delivery. • Prepare documentation and ensure knowledge transfer for ongoing support. Required Qualifications: • Bachelor's degree in a quantitative or technology-related discipline. • 5+ years of experience in data analysis and process modeling within the financial services sector. • Hands-on experience with SAS, SQL, and working knowledge of Python/PySpark. • Strong dashboarding and data storytelling skills using Tableau, Power BI, or similar tools. • Excellent communication skills and ability to work independently as a contractor. Preferred: • Experience in credit card processing and familiarity with risk/fraud data is a strong plus. Experience with Snowflake or similar modern data platforms is a plus.

We have an exciting opportunity for a Senior Data Scientist with a background in Pharmacology to join our Quantitative Biosciences team in West Point, PA. In this role, you will be working collaboratively with our local discovery teams and other computational & data science functions to advance therapeutic programs in Immunology, Neuroscience and Infectious Diseases/Vaccines, and to build computational pipelines that make better use of the data we generate. If you are data-focused, energetic, and looking to further develop your career in data science and drug discovery, we'd love for you to be part of our diverse and passionate team. In this role you will: Work with department pharmacologists to design statistically sound experiments and critically analyze and interpret the data from these experiments to ensure the success of discovery programs in Immunology, Neuroscience and Infectious Diseases/Vaccines. Help develop novel data pipelines that move, integrate and analyze diverse sources of biological data that aid in the identification of targets, profiling of therapeutic candidates or improving the chances of translation (e.g., cellular images, flow cytometry, multi-omics, deep profiling). Identify, develop and implement data visualization approaches that help drive decision making on program teams and manage resources for the department. Help wrangle and analyze unstructured and structured data that will drive new translational strategies for the company. Participate in the development and implementation of active learning-based approaches to drug discovery. Work with automation engineers and laboratory scientists to develop the infrastructure to collect and move data off of lab-based instrumentation to help facilitate downstream analyses including those implementing AI/ML methodologies. Identify, validate, and integrate new technologies or methodologies to increase efficiency and productivity, drive program progression, and facilitate clinical translation of discovery programs. Collaborate across the network to help guide the data transformation process and build data science infrastructure. Effectively communicate data analyses and computational strategies to stakeholders and management. Democratize computational approaches and upskill lab-based scientists to become more data science savvy. The ideal candidate will have experience working directly with experimentalists to design and interpret pharmacology experiments. This role is ideal for someone with a background in both experimental and computational lab work. Qualifications: Education: Master's (with 3 years) or Ph.D. in Biology, Pharmacology, Data Science, Biostatistics, Computational Biology/Chemistry or other related life sciences field and relevant experience in modeling, analyzing and visualizing pharmacology data. Required Experience and Skills: A background in pharmacology-based modeling, statistics and machine learning. A deep understanding of preclinical pharmacology experiments, and how to design and interpret statistically sound experiments that will help drive pipeline decisions. Experience with integrating and analyzing multiple pharmacology-relevant data types, e.g. cellular imaging, transcriptomic, chemical structure-activity data. A robust understanding of drug discovery and clinical development and how pharmacology/PKPD data is used to derisk programs and optimize therapeutic effect. The ability to communicate effectively with and relate to a broad range of stakeholders, including senior leaders, peers, direct reports, partner organizations and external collaborators. A passion for innovation and problem-solving. Required Skills: Biomedical Sciences, Biopharmaceutics, Biostatistics, Cell Physiology, Clinical Immunology, Computational Biology, Computational Chemistry, Computer Science, Cytometry, Data Analysis, Database Systems, Data Science, Data Wrangling, Drug Discovery Process, Drug Discovery Research, Immunochemistry, Life Science, Machine Learning, Pharmacokinetics, Pharmacology, Pharmacotherapeutics, Stakeholder Relationship Management Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. The salary range for this role is $126,500.00 - $199,100.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at ******************************************************* You can apply for this role through **************************** (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: Yes Travel Requirements: 10% Flexible Work Arrangements: Not Applicable Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 10/31/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at **************** . This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. **Purpose:** We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. **Essential Job Responsibilities:** + Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD + Design of observational studies (primary and/or secondary data) + Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies + Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications + Ensure efficient planning, execution and reporting of analyses + Advise as subject matter expert in specific data access partnerships + Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed + Contributes to vendor selection with partner functions + Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas + Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance + Mentor and guide junior members of the RWD Analytics team **Qualifications Required:** + A doctorate or master's degree in statistics, data science, pharmacoepidemiology or a similar discipline + More than 6 years of pharmaceutical industry hands-on experience in design and execution of observational studies and analyzing RWD, including major EHR and claims databases from the US, UK, EU, and/or Japan + Experience in analyzing a diverse set of RWD study types (description, association, prediction, causation), including incidence & prevalence, treatment pattern, healthcare resource utilization, cost, outcomes, and effectiveness + Advanced and broad knowledge of statistical methods, along with understanding of industry practices & guidelines related to the analysis of RWD + Proficiency in SQL, and SAS or R required, with working knowledge of Python beneficial + Well-versed in data visualization, statistical analysis, and machine learning methodologies + Proficiency in non-interventional research design for primary data collection (i.e, prospective) as well as secondary use of data + Committed to seeking innovative methodology to generate data-driven insights + Experience working across geographies with globally distributed teams + Self-starting performer with the demonstrated capacity to operate both independently and collaboratively in a fast-paced, team-oriented setting + Excellent communication and collaboration, and experienced working in cross-functional teams. **Salary Range** + $141,400 - $222,200 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations) **Working Environment:** + At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. **Benefits:** + Medical, Dental and Vision Insurance + Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down + 401(k) match and annual company contribution + Company paid life insurance + Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions + Long Term Incentive Plan for eligible positions + Company fleet vehicle for eligible positions + Referral bonus program \#LI-SS Category Quantitative Sciences & Evidence Generation Astellas is committed to equality of opportunity in all aspects of employment. EOE including Disability/Protected Veterans

Senior Scientist Data Science We are seeking a highly skilled data scientist specialized in modeling receptor interactions for molecule discovery. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI in taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to drive interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. Develop and implement accurate Machine Learning and protein AI models of receptor-ligand interactions to drive receptor science using deep structural biology knowledge. Perform in silico screening, docking analyses and energy calculations. Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. Team-up with other data scientists and life science experts around the globe to drive project success We Bring: Opportunity to join a dynamic and thriving team applying Machine Learning and other modeling techniques to biology and chemistry. Highly motivated, professional and committed multicultural and interdisciplinary team. Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. Grow and develop your skills through our in-house training courses. Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: Ph.D. or similar experience in Receptor Biology, Structural Biology, Computer Science, AI, or a related field. 3-7 years of additional academic or industrial work experience in ingredients, or small molecule discovery, ideally in the chemosensory biology field. Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. Strong skills in computational structural biology, virtual docking and molecular dynamics simulations, including hands-on experience with modern protein AI tools. Deep understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. Proficiency in modern Machine Learning, python, good code management/version control such as Git, and working with CI/CD pipelines. Experience with AWS or Azure cloud computing environments is a plus. Excellent problem-solving skills and proven ability to work both independently and collaboratively. Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $ 128,00-$183,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered. The tools that we develop are as diverse as the team developing them, and in this Senior Scientist role, the chosen candidate will leverage fundamental process modeling, machine learning, and other innovative data science approaches to enable our process research and development efforts across our Company's biologics and vaccines portfolio. Our DRE organization is responsible for the invention and application of new data-rich tools to support the scientists across process research and development at our Company. We aspire to embed data-intense technologies into the fabric of our Company's process development culture. This Senior Scientist role is a scientific position tasked with solving complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge process modeling including novel deep neural network architectures and especially their combination with physics and theory through hybrid methods. Ultimately, through the development, application, and deployment of these capabilities across our multi-modality pipeline, we aim to elucidate a deeper understanding and optimization of our processes and drive enhanced decision making for improving the speed and quality of development for diverse medicines and vaccines. In this Senior Scientist role, the chosen candidate will combine process modeling and deep learning techniques to help advance process-focused scientific research. This includes, but is not limited to, developing mechanistic, hybrid, or data-driven models for chemical synthesis and isolation, cell culture, fermentation, biomolecule separations; working closely alongside pipeline project teams to extract impactful insights from experimental data for manufacturing process design; employing process models to accelerate and enhance laboratory development through ML-assisted optimal experiment design; applying physics-based and hybrid models to guide and de-risk scale-up/scale-down during technology transfer and commercialization; developing new hybrid machine learning frameworks based on customized deep learning architectures and their integration with physics-based models or structures; and collaborating with enterprise IT colleagues for the automated scaling, training, and serving of such models to an extensive process development organization. As such, the chosen candidate should have a robust background in machine learning with an emphasis on the intersection of modeling and manufacturing process development. In addition to a passion for computational process modeling and machine learning, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment. The chosen candidate should demonstrate a clear ability to perform impactful scientific innovation in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have a demonstrated ability to publish and present research, including an established track record of interaction with the broader academic community. The chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow. Education Minimum Requirement: A Ph.D. in Engineering, Biology, Chemistry or a closely-related field A M.S. in Engineering, Biology, Chemistry or a closely-related field with at least 2 years of industrial/pharmaceutical experience A B.S. in in Engineering, Biology, Chemistry or a closely-related field with at least 4 years of industrial/pharmaceutical experience Required Experience and Skills: Background and experience in process modeling, scientific machine learning, deep learning, and technology deployment. Expertise in Python with hands-on experience in deep learning frameworks and libraries (PyTorch, JAX, TensorFlow, or similar). High motivation and enthusiasm for novel technology development; passion for modernizing chemical and bioprocess development practices. Excellent communication skills, demonstrated creativity, adaptive problem-solving, and effective interpersonal skills for delivering complex technical solutions in a dynamic cross-functional environment Demonstrated scientific expertise evidenced through impactful journal publications and/or conference presentations. Preferred Experience and Skills: Experience in developing novel process models for dynamical systems, process control, or digital twins for chemical or biological systems through physics-based, mechanistic, or hybrid model frameworks. Background in laboratory chemical or biochemical research, cell culture, or fermentation process design, development, or optimization and experience applying or developing new digital or data-rich technologies to extract insights from complex laboratory data Familiarity with MLOps practices and workflows (automated training, documentation and monitoring, deployment and integration) and ability to collaborate with IT stakeholders for technology deployment at scale. Experience in the new technology development and deployment with an understanding of technology adoption frameworks, including a successful track record of technology change management. PRD Required Skills: Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. The salary range for this role is $114,700.00 - $180,500.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at ******************************************************* You can apply for this role through **************************** (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 01/16/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

NJ onsite About Summit Summit Therapeutics Inc is a biopharmaceutical oncology company with a mission focused on improving quality of life increasing potential duration of life and resolving serious unmet medical needs At Summit we believe in building a team of world class professionals who are passionate about this mission and it is our people who drive this mission to reality Summits core values include integrity passion for excellence purposeful urgency collaboration and our commitment to people Our employees are truly the heart and soul of our culture and they are invaluable in shaping our journey toward excellence Summits team is inspired to touch and help change lives through Summits clinical studies in the field of oncology Summit has multiple global Phase 3 clinical studies including Non small Cell Lung Cancer NSCLC HARMONi Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR mutated locally advanced or metastatic non squamous NSCLC who were previously treated with a 3rd generation EGFR TKI HARMONi 3 Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first line metastatic NSCLC HARMONi 7 Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first line metastatic NSCLC Colorectal Cancer CRC HARMONi GI3 Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than Chinas National Medical Products Administration NMPA Summit is headquartered in Miami Florida and has additional offices in California New Jersey the UK and Ireland Overview of Role The Senior Manager Data Scientist role is part of the Commercial Operations team supporting the US Business Unitwhich includes but is not limited to Sales Marketing and Market Access This team enables key business functions and strategic initiatives through data integration reporting and advanced analytics This position provides a unique opportunity for broad exposure across the US commercial organization by contributing to the development of advanced analytics solutions A core focus of the role will involve executing analytics on a variety of data sourcesincluding patient claims EDI shipment data and unstructured datasetsas well as supporting future machine learning initiatives Role and Responsibilities Design and implement advanced analytical models eg predictive modeling segmentation optimization machine learning using diverse datasets such as claims outlet level sales data EDI hub data real world data RWD specialty pharmacydistributor data EMR and internal commercial datasets Develop and validate algorithms to identify patient journeys adherence patterns and treatment pathways Contribute to an evolving data science practice including problem framing data exploration and preparation data integration machine learning model development and production Create scoring frameworks eg HCP opportunity models payer access risk scores patient conversion likelihood Build statistical and machine learning models for both proof of concept and production environments using Python R and SQLPartner with stakeholders across the US commercial teams to translate business needs into data driven and machine learning solutions Communicate advantages limitations and implications of analytical approaches to non technical audiences Share technical insights and solutions through design reviews pair programming codemodel reviews and team knowledge sharing sessions Conduct exploratory analysis of new datasets generate descriptive statistics identify trends and insights and propose data engineering opportunities for integration Utilize one or more commercial or open source analysis platforms daily eg Jupyter Notebook RStudio Posit Microsoft Azure Neo4jAll other duties as assigned Experience Education and Specialized Knowledge and Skills Experience in biotech pharmaceuticals or life sciences required Bachelors degree in Data Science Computer Science Mathematics or a related field required; advanced degree preferred Minimum 5 years of relevant experience with a bachelors degree or 3 years with a masters degree contributing to or executing data science projects Industry experience in customer behavior prediction customer journey analytics marketing analytics or social network analysis is preferred Demonstrated proficiency in Python andor RStrong SQL skills with hands on experience working with relational databases; experience with graph databases and Cypher is a plus Familiarity with machine learning and statistical modeling techniques Strong communication and cross functional collaboration skills Experience developing solutions using text analytics customer journey analytics marketing analytics or recommendation engines Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms Knowledge of statistical and data mining techniques such as hierarchical clustering network analysis regression random forests text mining NLP and data visualization The pay range for this role is 153000 180000 annually Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location This may be different in other locations due to differences in the cost of labor The total compensation package for this position may also include bonus stock benefits andor other applicable variable compensation Summit does not accept referrals from employment businesses andor employment agencies in respect of the vacancies posted on this site All employment businessesagencies are required to contact Summits Talent Acquisition team at recruitingsmmttxcom to obtain prior written authorization before referring any candidates to Summit

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Go-to-Market Data Scientist Lead opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. This position can also be remote/virtual and is designed to specifically support Eastern time zones (standard hours of operations 8:30am ET to 5:00pm EST). Role will require up to 20% travel to existing UCB sites. About the role You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs. Who you'll work with You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and EngineSupervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other “fellow” Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 6-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is required Minimum of 6-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required Minimum of 6-10+ years of experience with programming and application development using Python or R is prefrered Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges Mastering project management skills is required You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations You must also be able to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) This positions reasonably anticipated base salary range is $124,000- $194,300 per year. The actual salary offered will take into account internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Are you ready to ‘go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 8,500 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: * Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. * Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. * Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. * Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. * Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. * Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. * Team-up with other data scientists and life science experts around the globe to drive project success We Bring: * Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. * Highly motivated, professional and committed multicultural and interdisciplinary team. * Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. * Grow and develop your skills through our in-house training courses. * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. * A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: * Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. * 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. * Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. * Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. * Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. * Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. * Excellent problem-solving skills and proven ability to work both independently and collaboratively. * Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role

We are currently seeking an experienced data scientist to join our Informatics team who will lead advanced analyses of methodological data to inform study design decisions. The Informatics team utilizes informatics principles and techniques to architect, mine, analyze, and visualize clinical trial data to inform study design choices for pharmaceutical development. The informaticist will create predictive data models to identify and analyze patterns, then program compelling visualizations of the data to support feasibility strategies. The team is seeking an experienced candidate for a senior-level position to contribute new skills to our team, sopport team growth and foster fellow analyst development. The Informatics Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports clinical operation, medical, and feasibility teams with advanced data query and analysis. The Informatics Team also works side-by-side business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities * Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; * Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; * Translate the results of feasibility research and analysis into compelling data visualizations which illustrate the overall feasibility strategy for proposals and bid defense meetings; * Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams; * Develop and map database architecture of methodological and clinical data systems; * Support departmental process improvement initiatives; and * Participate in training and development of more junior team members. Qualifications * Master's degree in informatics, computer science/engineering, health information, statistics, or related field required, PhD preferred * 1-2 years direct experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques); * Advanced computer programming skills (preferred lanaguage: R) * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Senior Data Scientist * This role supports the needs of the Global Analytics & Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities * This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design and implementation using appropriate methods. Your Responsibilities: * Collaboration with Strategic Analytics and Descriptive Analytics team members to provide data-driven insights and influence promotional effectiveness to drive optimal business outcomes. * Participation in readout and review with internal customers. * Consistent, constant alignment with all members of team in Greenfield, Indiana. * Maintain an environment open to change and innovation, recognizing improvements in existing tools and anticipating new technologies to deliver world class analytics and maximize effectiveness * undefined What You Need to Succeed (minimum qualifications): * Bachelor's Degree in quantitative or management field. (Master's preferred) * 3+ years of experience in Data Science, Commercial Effectiveness. * Expertise in statistical modelling techniques - A/B testing, regression, clustering, classification, decision trees, forecasting. * Knowledge of probability models, market basket, churn modelling, segmentation and customer analytics. * Advanced skills in Python, R and advanced excel. * Proven analytical/problem solving skills with strong learning agility. What will give you a competitive edge (preferred qualifications): * Experience with Tableau, SQL. * Experience with Azure ML & Model Deployment * Experience with GitHub * Excellent written and verbal communication * Demonstrated excellence in Power Point and storyboarding. * Project management experience across multiple business functions Additional Information: * Travel: 0% * Location: IN, Bangalore - Hybrid Work Environment Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

**Who is USP?** The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. **Brief Job Overview** The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The **AMT Data Scientist** is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. **This is a two-year fixed term position** . The term may be extended based on external funding priorities and projects. **How will YOU create impact here at USP?** As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The **AMT Data Scientist** has the following responsibilities: + Create, validate, and continually refine multivariate models using principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. + Use of normalization, mean-centering, and cross-validation strategies to ensure model robustness and interpretability while managing high-dimensional data sets. + Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. + Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. + Build, validate, and implement life-cycle assessment models and tools for current and future applications. + Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. + Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. + Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. + Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. + In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. + Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. + Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals + Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. + Other duties as assigned. **Who is USP Looking For?** The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: + Bachelor's Degree and seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. + Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. + Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). + Strong analytical reasoning, critical thinking, and troubleshooting ability. + High attention to detail and integrity. + Demonstrates initiative to solve problems and develop solutions on a deadline. + Solid communications skills - both written and oral. + Desire to affect change and drive public health impact. **Additional Desired Preferences** + Preferred degrees in data science, statistics, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. + Working knowledge of manufacturing in the pharmaceutical industry. + Familiarity with the applying data science to climate risk or other environmental domains. + Experience executing on contract work. **Supervisory Responsibilities** None, this is an individual contributor role. **Benefits** USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. **Compensation** Base Salary Range: USD **$87,200.00 - $113,450.00** annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor. **Job Category** Information Technology **Job Type** Full-Time

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Job Description 7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: As a Data Scientist at Elanco, you will be a key driver of innovation and efficiency, using advanced analytics to solve complex challenges across our entire value chain. Reporting to the Global Analytics & Governance team, you will partner with stakeholders in R&D, Manufacturing, and Commercial to uncover insights, build predictive models, and create data-driven solutions that directly impact animal health and business outcomes. This role is for a curious and creative problem-solver who is passionate about turning data into tangible value. This includes four strategic priorities: Pipeline Acceleration: Optimize the search and approval of high impact medicines with a focus on speed, cost and precision. Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness. Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement. Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability. Your Responsibilities: End-to-End Model Development: Partner to design, develop, and validate statistical and machine learning models to address key business questions, from initial data exploration to final analysis. Analytical Thought Leader: Lead by example and inspire others, analyzing large, complex datasets to extract meaningful insights and solve business problems. This includes elements of Operations Research, using data to optimize decisions and processes Cross-Functional Problem Solving: Collaborate directly with business units to translate their challenges into data science frameworks. This could include: R&D: Accelerating drug discovery, target identification, clinical trial analysis, and drug repurposing. Manufacturing: Optimizing supply chain logistics and improving production yields through predictive quality control and maintenance. Commercial: Enhancing sales forecasting, pricing and promotions optimization, personalizing marketing campaigns, understanding customer behaviour, and surfacing data insights via large language models. Generate Actionable Insights: Go beyond model building to interpret results, synthesize findings, and communicate actionable recommendations to stakeholders at all levels. Data Storytelling: Use data visualization and clear communication to present complex analytical findings in a compelling and understandable narrative. Collaborate on Deployment: Partner with Data, AI and ML Engineers to ensure that your models are successfully integrated into business processes and applications. Drive Innovation: Continuously research and apply new methodologies in machine learning, statistics, and AI to keep Elanco at the forefront of data science. Champion a Data-Driven Culture: Promote a data-driven culture within Elanco by educating and mentoring colleagues on data science principles and best practices. What You Need to Succeed (Minimum Qualifications): Education: A Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Operations Research, or a related discipline. Required Experience: 12+ years experience in Data Science or relevant work. Programming Proficiency: Strong programming skills in Python or R, with expertise in data manipulation and machine learning libraries. Statistical Rigor: A deep understanding of statistical principles and experimental design, including hypothesis testing, regression, and classification. Machine Learning Experience: Proven experience applying a range of machine learning techniques (e.g., gradient boosting, clustering, NLP, time-series forecasting) to real-world problems. Data Visualization and Communication: Expertise in using visualization tools to create compelling stories and the ability to explain complex topics to a non-technical audience. What Will Give You the Competitive Edge (Preferred Qualifications): Business Acumen: A strong ability to grasp business challenges quickly and a passion for connecting data-driven insights to strategic goals. Experience in pharma, manufacturing, or commercial analytics is a major plus. Industry Experience: A deep understanding of life science, covering the business model, regulatory/compliance requirements, risks and rewards. An ability to identify and execute against opportunities within data science that directly support life science outcomes. Database Skills: Proficiency in SQL for querying and extracting data from relational databases. Cloud Environment Familiarity: Experience working with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their associated data and analytics services is highly desirable. Additional Information: Location: Global Headquarters- Indianapolis, IN (Hybrid environment) Travel: Minimal Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco Benefits and Perks: We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include: Multiple relocation packages Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO) 8-week parental leave 9 Employee Resource Groups Annual bonus offering Flexible work arrangements Up to 6% 401K matching Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Distinguished Data Scientist * As a Data Scientist at Elanco, you will be a key driver of innovation and efficiency, using advanced analytics to solve complex challenges across our entire value chain. * Reporting to the Global Analytics & Governance team, you will partner with stakeholders in R&D, Manufacturing, and Commercial to uncover insights, build predictive models, and create data-driven solutions that directly impact animal health and business outcomes. Your Responsibilities: * End-to-End Model Development: Partner to design, develop, and validate statistical and machine learning models to address key business questions, from initial data exploration to final analysis. * Analytical Thought Leader: Lead by example and inspire others, analysing large, complex datasets to extract meaningful insights and solve business problems. This includes elements of Operations Research, using data to optimize decisions and processes * Cross-Functional Problem Solving: Collaborate directly with business units to translate their challenges into data science frameworks. This could include: * R&D: Accelerating drug discovery, target identification, clinical trial analysis, and drug repurposing. * Manufacturing: Optimizing supply chain logistics and improving production yields through predictive quality control and maintenance. * Commercial: Enhancing sales forecasting, pricing and promotions optimization, personalizing marketing campaigns, understanding customer behaviour, and surfacing data insights via large language models. * Generate Actionable Insights: Go beyond model building to interpret results, synthesize findings, and communicate actionable recommendations to stakeholders at all levels. * Data Storytelling: Use data visualization and clear communication to present complex analytical findings in a compelling and understandable narrative. * Collaborate on Deployment: Partner with Data, AI and ML Engineers to ensure that your models are successfully integrated into business processes and applications. * Drive Innovation: Continuously research and apply new methodologies in machine learning, statistics, and AI to keep Elanco at the forefront of data science. * Champion a Data-Driven Culture: Promote a data-driven culture within Elanco by educating and mentoring colleagues on data science principles and best practices. What You Need to Succeed (minimum qualifications): * Educational Background: A Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Operations Research, or a related discipline. * Programming Proficiency: Strong programming skills in Python or R, with expertise in data manipulation and machine learning libraries. * Statistical Rigor: A deep understanding of statistical principles and experimental design, including hypothesis testing, regression, and classification. * Machine Learning Experience: Proven 10+ experience applying a range of machine learning techniques (e.g., gradient boosting, clustering, NLP, time-series forecasting) to real-world problems. What will give you a competitive edge (preferred qualifications): * Data Visualisation and Communication: Expertise in using visualisation tools to create compelling stories and the ability to explain complex topics to a non-technical audience. * Business Acumen: A strong ability to grasp business challenges quickly and a passion for connecting data-driven insights to strategic goals. Experience in pharma, manufacturing, or commercial analytics is a major plus. * Industry Experience: A deep understanding of life science, covering the business model, regulatory/compliance requirements, risks and rewards. An ability to identify and execute against opportunities within data science that directly support life science outcomes. * Database Skills: Proficiency in SQL for querying and extracting data from relational databases. * Cloud Environment Familiarity: Experience working with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their associated data and analytics services is highly desirable. Additional Information: * Travel: 0% * Location: IN, Bangalore - Hybrid Work Environment Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Principal Data Scientist * This role supports the needs of the Global Analytics & Insights team, part of the Corporate Strategy Team, with a focus on providing Advanced Analytics (to include statistical modeling, regression analyses, market basket, churn modelling methods) to work on program/promotion design and ROI post program. Additional project-based work around price elasticity, mixed market modelling, segmentation, game theory modelling and predictive analytics (e.g., customer lifetime value) will be in scope. The overarching goal of all work will be to find efficiencies in current promotional spend and optimize future business activities. * This position is responsible for managing all aspects of project-based analyses including data preparation, analysis design, implementation using appropriate methods & results presentation. Responsibilities: * Lead discussions with customers to uncover needs, design and deliver analytics solutions. Enable measurement and improved effectiveness of rebates, media spend, pricing and sales force activities leveraging statistics and data science techniques. * Collaborate with internal stakeholders, descriptive analytics team and cross-functional teams to solve business problems, propose efficiencies and innovative approaches. * Constantly innovate in data science domain, constantly bringing new expertise to the team and adding to team knowledge * Guide the junior members on technical and functional aspects, problem formulation, approach design, model building, model refinement and selection, reviewing and storyboarding the results. * Consistent, constant alignment with all members of team in Greenfield, Indiana. Minimum Qualification : * Bachelor's Degree in quantitative or management field. (Master's preferred) * 6+ years of experience in Advanced Analytics, Commercial Effectiveness. * Expertise in statistical modelling techniques - A/B testing, regression, clustering, classification, decision trees, forecasting. * Expertise of probability models, market basket, churn modelling, segmentation and customer analytics. * Advanced skills in Python, R and advanced excel. * Proven analytical/problem solving skills with strong learning agility. * Excellent written and verbal communication * Demonstrated excellence in Power Point and storyboarding. Preferred qualifications * Experience with Tableau, SQL. * Experience with Azure ML & Model Deployment * Experience with GitHub * Project management experience across multiple business functions * Experience in pharma/retail domain Additional Information: * Travel:0 % * Location: IN, Bangalore - Hybrid Work Environment Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: * Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD * Design of observational studies (primary and/or secondary data) * Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies * Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications * Ensure efficient planning, execution and reporting of analyses * Advise as subject matter expert in specific data access partnerships * Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed * Contributes to vendor selection with partner functions * Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas * Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance * Mentor and guide junior members of the RWD Analytics team

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD Design of observational studies (primary and/or secondary data) Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed Contributes to vendor selection with partner functions Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Mentor and guide junior members of the RWD Analytics team