statistician

US Department of Veterans Affairs

Research Statistician

US Office of Inspector General

Statistician (Direct Hire)

UTHealth Houston

<div>We are hiring a Statistician (full-time) to join UTHealth Houston School of Public Health in Houston, Tx. This position is expected to continue through July 31, 2026. Ideal candidate will have working knowledge and be proficient in MS Office and SAS software. Experience with Endnote and Medicare data is a plus.
What we do here changes the world. UTHealth Houston is Texas&rsquo; resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That&rsquo;s where you come in.
Once you join us you won't want to leave. It&rsquo;s because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you&rsquo;d expect from a top healthcare organization (benefits, insurance, etc.), plus:<ul><li>
100% paid medical premiums for our full-time employees</li><li>
Generous time off (holidays, preventative leave day, both vacation and sick time &ndash; all of which equates to around 37-38 days per year)</li><li>
The longer you stay, the more vacation you&rsquo;ll accrue!</li><li>
Longevity Pay (Monthly payments after two years of service)</li><li>
Build your future with our awesome retirement/pension plan!</li></ul>
We take care of our employees! As a world-renowned institution, our employees&rsquo; wellbeing is important to us. We offer work/life services such as...<ul><li>
Free financial and legal counseling</li><li>
Free mental health counseling services</li><li>
Gym membership discounts and access to wellness programs</li><li>
Other employee discounts including entertainment, car rentals, cell phones, etc.</li><li>
Resources for child and elder care</li><li>
Plus many more!</li></ul>
Position Summary:<div>
This statistician is expected to join the new project entitled &ldquo;Leveraging a Natural Experiment to Determine the Effects of Integrated Palliative Care on Health Service Outcomes and Disparities in Parkinson Disease and Lewy Body Dementia&rdquo;. The statistician will be responsible for becoming familiar with the databases and the coding already available, classifying the polypharmacy medications and comorbidities of the Medicare data to be summarized at the center level for the outcomes of interest. S/he will help with the transformation of the databases needed for each outcome detailed in the specific aims, as well as by the subpopulation analyses proposed in the study (e.g., sex as a biological variable, race/ethnicity and quartiles of the social depravation score). S/he will correctly link across time the datasets from the organizational aspects of each site from the intervention with the created datasets from the Medicare datasets to be able to examine the aims of the intervention at the center level. S/he will identify inconsistencies, narrow down the inclusion/exclusion criteria of participants for the secondary analysis under Dr. P&eacute;rez&rsquo;s supervision after the data has been linked. S/he will learn to check and conduct the statistical analyses for handling missing data with Dr P&eacute;rez training. Afterwards, this Statistician, with Dr. P&eacute;rez&rsquo;s help, will explore the proposed associations and test the proposed hypothesis. Dr. P&eacute;rez and this Statistician will meet day to day to quickly set up and understand the challenges of these databases and organize them to answer the specific aims proposed. S/he will meet with Dr. P&eacute;rez in the weekly team meeting to move forward with the secondary data analyses to ensure that all the statistical analyses are scientifically sound. The statistician will help to create the tables and figures for manuscripts. Responsible for the application of standard statistical methods for conducting analysis and preparing reports.</div>
Position Key Accountabilities:<ul><li>
Conducts data management of Medicare data in preparation for statistical analyses and reports.</li><li>
Supervises the routing tabulation of data; edits and analyzes the final material in the form of reports and records, including detail and summary tables, graphs, and charts.</li><li>
Performs statistical analyses from both large and small samples of data.</li><li>
Calculates medians quantities, percentiles, and coefficients of correlation.</li><li>
Tests data for sampling errors and for significance differences between samples.</li><li>
Performs other duties as assigned including literature reviews, formatting of tables, figures and manuscripts, mandatory trainings, etc.</li></ul> 
Certification/Skills:<ul><li>
Excellent communication skills both written and verbal.</li><li>
Working knowledge of MS Office.</li><li>
Proficiency in SAS software programming.</li><li>
Experience with Endnote and Medicare data, preferred.</li></ul>
Minimum Education:<ul><li>
Bachelor's Degree in related field required</li></ul>
Minimum Experience:<ul><li>
2 years of experience in analysis and presentation of statistical data required May substitute required experience with equivalent years of education beyond the minimum education requirement.</li></ul>
Physical Requirements:
Exerts up to 20 pounds of force occasionally and/or up to 10 pounds frequently and/or a negligible amount constantly to move objects.
Security Sensitive:
This position is a security-sensitive position pursuant to Texas Education Code &sect;51.215 and Texas Government Code &sect;411.094. To the extent that a position requires the holder to research, work on, or have access to critical infrastructure as defined in Texas Business and Commerce Code &sect;117.001(2), the ability to maintain the security or integrity of the infrastructure is a minimum qualification to be hired for and to continue to be employed in that position. Personnel in such positions, and similarly situated state contractors, will be routinely reviewed to determine whether things such as criminal history or continuous connections to the government or political apparatus of a foreign adversary might prevent the applicant, employee, or contractor from being able to maintain the security or integrity of the infrastructure. A foreign adversary is a nation listed in 15 C.F.R. &sect;791.4.
Residency Requirement:
Employees must permanently reside and work in the State of Texas.</div>

Statistician - Temporary - School of Public Health

SME Careers

<div>
 We&rsquo;re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project. In this role, you will review time-series plots (a quantity of interest over time) along with brief contextual descriptions, then identify the most meaningful patterns in the data and produce concise, well-reasoned causal chains explaining what likely drove those patterns.
 
 Your work will help create high-quality tasks used to train and evaluate AI systems on forecasting-related reasoning. You will focus on distinguishing signal from noise, articulating plausible mechanisms (root cause &rarr; intermediate drivers &rarr; observed time-series impact), and writing explanations that are clear, grounded, and useful for downstream model training.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Create Forecasting Training Tasks: Given a time-series plot and short description, identify the most important patterns (trend, seasonality, regime changes, outliers, step changes, cyclical behavior, variance shifts) and document them clearly.
 </li>
 <li>
 Write Causal Chains: Produce concise causal narratives that explain patterns from root cause &rarr; mechanism &rarr; observable time-series effect, prioritizing the most meaningful drivers and avoiding generic explanations.
 </li>
 <li>
 Ensure Clarity &amp; Usefulness for AI Training: Write structured, high-signal explanations that are easy to evaluate, minimizing ambiguity and making assumptions explicit when necessary.
 </li>
 <li>
 Maintain Consistency &amp; Quality: Follow project guidelines and rubrics to ensure outputs are accurate, coherent, and comparable across many examples.
 </li>
 <li>
 Weekly Commitment: 10 hours/week
 
 </li>
 </ul>
 
 Your Profile
 
 
 <ul>
 <li>
 You have an educational and/or professional background in Statistics or a closely related field (e.g., Mathematics, Data Science).
 </li>
 <li>
 Proficient in time-series analysis and forecasting (e.g., trend/seasonality, structural breaks, anomalies, volatility shifts, lag effects).
 </li>
 <li>
 Excellent English writing skills with a clear, structured, concise style.
 </li>
 <li>
 Strong analytical judgment and ability to interpret data visualizations with precision.
 </li>
 <li>
 Comfortable forming plausible causal explanations while clearly separating evidence from assumptions.
 </li>
 <li>
 Optional: Domain knowledge in one or more of the following: Healthcare; Climate/oceanography; Economics &amp; finance; Cloud operations; Transportation.
 </li>
 </ul>
</div>

Statistician — Time-Series Insights Writer (AI Training)

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 
 
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 
 
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
 </li>
 <li>
 You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
 </li>
 <li>
 You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
 </li>
 <li>
 You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 </li>
 <li>
 You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
 </li>
 <li>
 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
 </li>
 <li>
 Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 </li>
 <li>
 Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 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&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;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, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3206663
</div>

Data Scientist I, SHAKE

X, The Moonshot Factory

<div>
 
 About Tapestry
 
 
 
 Tapestry is Alphabet&rsquo;s moonshot for the electric grid, working at the frontier where energy&rsquo;s complexity meets AI&rsquo;s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.
 
 
 To keep pace with humanity&rsquo;s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently&mdash;ensuring electricity remains reliable and affordable for everyone.
 
 
 This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.
 
 
 Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design&mdash;all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.
 
 
 
 About The Role
 
 
 
 At Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing and interpreting huge data sets. You will proactively explore and define new problem spaces, establishing the rigorous data integrity required to support advanced analysis, ML/AI, and cross-functional collaboration. Your mission is to deliver innovative, data-driven solutions that accelerate product advancement, drive business value, and fundamentally improve how we manage, plan and operate the electric grid.
 
 
 
 How You&rsquo;ll Make 10x Impact
 
 
 
 <ul>
 <li>
 Architect Production Pipelines: Apply state-of-the-art data science techniques to build and deploy scalable data pipelines and automated evaluation frameworks for petabyte-scale datasets.
 </li>
 <li>
 Statistical Validation: Research and develop analytical methods for forecasting, optimization, computer vision and LLMs applications, applying statistical rigor to evaluate model behavior,, and live experiments.
 </li>
 <li>
 System Evaluation: Design and implement quantitative evaluation processes to measure the true performance and reliability of AI-powered systems.
 </li>
 <li>
 Iterative Prototyping: Build and deploy analysis pipelines iteratively to provide model insights at scale, ensuring they meet the high bar required for grid-critical applications.
 </li>
 <li>
 Technical Synergy: Partner directly with Power System Experts and ML Engineers to translate product requirements into engineering and machine learning problems, and interpret solutions to inform future product decisions and roadmaps
 
 
 </li>
 </ul>
 
 What You Should Have
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s in a quantitative field and 5+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.
 </li>
 <li>
 Fluency in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.
 </li>
 <li>
 Experience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.
 </li>
 <li>
 Experience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.
 </li>
 <li>
 Applied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets
 </li>
 <li>
 Experience with cloud hosting services and storage of both unstructured and structured data.
 </li>
 <li>
 Experience with processing live data streams, including sampling, synchronization, and quantification.
 </li>
 <li>
 Demonstrate strong collaboration with software engineering and cross functional teams to build ML-powered systems ready for production.
 
 
 </li>
 </ul>
 
 It&rsquo;d Be Great If You Had These
 
 
 
 <ul>
 <li>
 Ability to thrive in ambiguity, set own goals and effectively delivering to them in a very fast-changing environment
 </li>
 <li>
 Ability to influence without authority, working with technical and cross-functional teams who do not report into this role to get things done
 </li>
 <li>
 Distinctive problem solving and analysis skills, combined with impeccable business judgment, leadership skills, and ability to communicate with a senior management team
 </li>
 <li>
 Attention to detail, project management, and organizational skills
 </li>
 <li>
 Fast learner with capacity to learn about a wide-spread of different technologies &amp; industries
 </li>
 <li>
 Passion for the energy and climate space
 
 
 </li>
 </ul>
 
 Our values
 
 
 
 <ul>
 <li>
 Take charge: We take initiative and own outcomes that move the mission forward.
 </li>
 <li>
 Transform with purpose: We build solutions that solve real problems and create meaningful impact.
 </li>
 <li>
 Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
 </li>
 <li>
 Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
 </li>
 <li>
 Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 A culture that supports growth, ownership, and meaningful impact, along with:
 
 
 <ul>
 <li>
 Competitive salary and equity
 </li>
 <li>
 Medical, dental, and vision coverage
 </li>
 <li>
 Generous PTO and flexible hybrid work model
 </li>
 <li>
 401(k) with employer contribution
 </li>
 <li>
 Professional development
 </li>
 <li>
 The ability to work on important real-world problems within an Alphabet-backed environment
 
 
 </li>
 </ul>
 The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
</div>

Data Scientist (Tapestry)

NoyMed CRO

Job SummaryNoyMed CRO is on the lookout for experienced Mid-Senior Statistical Programmers to join our innovative team. Your strong communication skills and creative problem-solving mindset will be vital in delivering high-quality statistical programming solutions that drive successful project outcomes. Join us in making a meaningful impact in the world of clinical research!Responsibilities<ul><li>Understand and conduct work consistent with GCP, ICH, 21 CFR part 11, internal SOPs and international regulatory requirements</li><li>Lead, or perform a leading role in statistical programming activities to maintain project plan, track daily status updates and timelines within the team, ensure budget monitoring and adherence, as well as efficient communication methodology with clients</li><li>Interact with the project statistician and guide other programmers participating in a project completion</li><li>Responsible for accuracy, traceability, and reproducibility of data, quality, and reliability of deliverables of the project</li><li>Develop and validate specifications for SDTM datasets and analysis datasets following SDTM and ADaM Implementation Guides, statistical analysis plans</li><li>Develop and validate algorithms and programs to create datasets</li><li>Develop complex SAS macros in order to automate and standardize routine processes</li><li>Develop, upgrade, and validate the programs to produce Tables, Listings, and Graphs</li><li>Act as a mentor and tutor for junior programmers</li></ul>Skills<ul><li>SAS (Advanced Macros, PROC SQL, Reporting)</li><li>CDISC Standards (SDTM, ADaM)</li><li>Regulatory submission support (FDA, EMEA)</li><li>TLF development &amp; QC validation</li><li>Cross-functional and vendor collaboration</li></ul>Required Qualifications<ul><li>At least Bachelor's degree in Computer Science or a related field</li><li>5+ years&rsquo; of relevant work experience</li><li>Excellent English skills</li><li>Strong sense of discipline and responsibility</li><li>In-depth understanding of data collection, data flow management, data quality, data extraction, and data standards with solid knowledge of CDISC standards for CDASH, SDTM, and ADaM</li><li>Experience with multiple programming languages (SAS programming language, R, SQL, or other languages/tools as required, SAS Certification desired), including the creation of data entry and query screens/processes and data quality checks</li><li>In-depth knowledge of research processes, clinical operations, and data quality management</li><li>Strong attention to detail and demonstrated proficiency in quantitative and qualitative analyses</li><li>Ability to manage multiple projects, tasks, and priorities; work independently with minimal supervision and execute tasks to completion without a great deal of direction</li><li>Experience in training users in the operation of clinical trial software and tools</li><li>Ability to exercise judgment, initiative, and resourcefulness in making decisions in consultation with clinical research personnel, and independently if necessary</li><li>Demonstrate strong teamwork and organizational skills; outstanding interpersonal and communication skills</li></ul>Work Location: Remote

Clinical SAS Programmer

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