Principal Data Scientist Jobs

Principal Data Scientist

Principal Associate, Data Scientist - Business Data Product

Principal Associate, Data Scientist - Business Data Product Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Apollo Team is Capital One’s one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo’s data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real-time intelligent ways. Business data is a complex, multi-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting-edge ML/AI to resolve identity, predict valuable features, create graph connections to various touchpoints, and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows. Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Technical. Strong background in ML/AI and engineering practices is essential, with hands-on experience in areas such as Entity Resolution, Information Retrieval, Graph-based ML, LLMs, Embeddings, or Deep Learning. Candidates should also be proficient in large-scale data processing using tools like PySpark and be adept at integrating software engineering best practices into their coding. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A strong communicator with strong verbal and written communication, tailoring the message to the audience, including senior leadership audiences Results Focused: driven towards results, able to drive projects from ideation to prototype to production Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 3 years of experience in Python, Scala, or R At least 3 years of experience with machine learning At least 3 years of experience with SQL, PySpark * At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal/Senior Data Scientist – Computational Genomics

Principal Data Scientist - Computational Biology

Principal Data Scientist

Voyager (94001), India, Bangalore, Karnātaka Principal Data Scientist At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you will be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. At Capital One India, we are at the cutting edge of solving some of the fundamental business problems using advanced data methodologies, statistics and machine learning algorithms. Team Description The DataLabs Anti-Money Laundering (AML) team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking using advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model development team for advancing transaction monitoring with machine learning, our team is responsible for end-to-end development, deployment, and monitoring of these critical risk management models. Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital One’s AML program pre-eminent. We achieve this by implementing rigorous data governance practices, constructing analytical data stores, and harnessing the power of analytics to unlock valuable insights. About the Role Partner cross-functionally with teams throughout the enterprise including Product and Tech to enable capturing risky behavior. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. Collaborate with Quants, Data Scientists, Data analysts, Business analysts and risk managers to drive innovation, shape strategic initiatives and propel AML Transaction monitoring to new heights in the data management landscape. Utilize data to drive real-world impact and thrive in a collaborative, forward-thinking environment Assess, challenge, and sometimes defend state-of-the-art decision-making systems to internal and regulatory partners. Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more. Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. Build data products, data solutions, tools, and capabilities to enable self-service frameworks for data consumers. Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives. Drive analysis that provides meaningful insights on business strategies. Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management. Flex your interpersonal skills to defend the model with validators, auditors and regulators. The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. ML/Statistically minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Bachelor’s degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative focus. At least 4 years relevant work experience in data analytics. At least 3 years of experience in Python or R. Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) 4 years of experience model development or validation 4 years of experience in R or Python for large scale data analysis 4 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills Experience in financial services industry Experience in Fraud / Anti-money Laundering domain At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Scientist, Agentic AI Professional Services

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

Principal Data Scientist

Principal Data Scientist - Safety

$321,230 - $373,680/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Principal Data Scientist – Product

From $184,000/yr

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr

Senior / Principal Data Scientist, Matchmaking

$321,230 - $373,680/yr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Principal Data Scientist, Agentic AI Professional Services

DESCRIPTION --------------- AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction Publish innovative research at top-tier conferences and influence the broader scientific community Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer \& Business Impact Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies Enable AWS partners on agentic delivery mechanisms and best practices Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership \& Mentorship Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services Drive innovation by sharing new technical solutions and product ideas across AWS teams Mentor and guide the data science, ML engineering, and ProServe builder communities Foster collaboration with key stakeholders to enhance the AWS ProServe experience BASIC QUALIFICATIONS ------------------------ Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining Experience building machine learning models or developing algorithms for business application PREFERRED QUALIFICATIONS ---------------------------- 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 4+ years of practical machine learning experience 2+ years of working with or evaluating AI systems experience Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Have publications at top-tier peer-reviewed conferences or journals Experience with AWS or cloud technologies Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects Experience driving collaborative projects from conception to delivery, or experience in development or technical support * Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

Principal Clinical Data Reviewer/Scientist

About This Role As a Principal Clinical Data Reviewer/Scientist, you will play a critical leadership role in ensuring the integrity, scientific rigor, and strategic value of clinical trial data across all phases of development. You will apply deep clinical and scientific expertise to assess data quality, plausibility, and completeness, while proactively identifying trends, signals, and potential risks related to study endpoints and patient safety. What You’ll Do Lead clinical and scientific data review activities across assigned clinical studies, ensuring data accuracy, consistency, and alignment with protocol expectations and therapeutic objectives. Identify insights, trends, and risks through comprehensive data analysis and interpretation, enabling early detection of data quality issues and safety signals. Design, test, and refine clinical data review tools—including listings, reports, and visualizations—to support robust data exploration, signal detection, and discrepancy management. Collaborate closely with cross‑functional teams, including Clinical Development, Biostatistics, Pharmacovigilance, and Study Operations, to drive data‑driven decision‑making and ensure high-quality trial execution. Manage timelines and deliverables with a strong commitment to quality, efficiency, and proactive communication. Contribute to risk management by identifying, documenting, and supporting mitigation of study‑level data risks. Support strategic initiatives within and beyond the Data Management organization, bringing scientific and operational insight to process innovation and continuous improvement. Leverage metrics and analytics to monitor data trends, assess study health, and enhance data review strategies. Who You Are You have a strong passion for scientific data excellence and clinical research quality. You possess strong analytical skills with the ability to translate complex data into actionable insights. You have a strong collaborative mindset with the ability to work effectively across multifunctional teams. You are committed to maintaining the highest quality execution and continuous improvement in data review practices. Required Skills 5+ years in a Clinical Operations/Clinical Scientific role, or in DM in industry or Academia with strong scientific knowledge in at least one therapeutic area within Biogen portfolio. Robust experience with Medidata Rave and use of Data Review tools such as eClinical Elluminate, J-Review, or Business Objects required High attention to detail including proven ability to manage multiple, competing priorities Experience supporting audits/inspections Excellent written and oral communication skills Ability to work under pressure demonstrating agility through effective and innovative team leadership Deep understanding of drug development and biopharmaceutical industry required Strong technical skills, including experience working with using Microsoft Excel functionality Fluent English (oral and written) Hands‑on experience reviewing eCRF data, external data sources (e.g., labs, imaging, biomarkers, digital health), and integrated clinical datasets. Demonstrated ability to identify data trends, signals, outliers, and risk indicators using listings, visualizations, metrics, and analytics tools. Experience with CDISC standards (SDTM, ADaM) and familiarity with clinical analytic tools (visualization platforms). Strong knowledge of GCP, ICH E6(R2)/E6(R3), regulatory expectations, and industry data quality best practices. Demonstrated problem‑solving skills with a continuous improvement mindset and enthusiasm for scientific data excellence. Education Requirements/Preferred Skills Bachelor’s degree in life sciences, health sciences, pharmacy, nursing, data science, or related discipline; advanced degree (MS, PharmD, PhD) strongly preferred. Experience with implementing consistent clinical and scientific data review processes. Ability to highlight and mitigate performance and quality issues with vendors. Previous experience in coordinating timelines and data deliverables across multiple studies/programs. Why Biogen? Our mission to find therapies for neurological and rare diseases is a unique focus within our industry and this shared purpose is what connects us as a team. We work together to overcome obstacles and to follow the science. We are resilient as we strive to make an impact on our patients’ lives and on changing the course of medicine. Together, we pioneer. Together, we thrive. Job Level: Management Additional Information The base compensation range for this role is: $116,000.00-$155,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills \& experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, \& Life insurances Fitness \& Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year * Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE\&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

Senior / Principal Data Scientist, Matchmaking

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Principal Data Scientist - Safety

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c

Principal Data Scientist – Product

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr