Duties: The specific duties for this position may include protocol development, study design, analysis plan, sample size/power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers...
Requirements: Master's degree in biostatistics, statistics or related quantitative field with 6+ years’ experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years’ experience in these areas

Duties: You’ll develop creative architectures to address the emerging demands of computer vision and machine learning algorithms; Understand and analyze the interplay between hardware, software, and media processing algorithms; Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups; Publish original research and speak at conferences and events
Requirements: Ph.D. in CE/CS/EE with a strong background in computer architecture, VLSI, parallel processing, and/or HPC. A strong publication, patent and research collaboration history is a huge advantage; Expertise in computer vision or machine learning algorithms; Experience with experimental computer architecture development and evaluation; Experience with C, C++, and scripting languages; Strong communication skills needed. Being a creative and dynamic presenter is a big advantage

Duties: One year appointment teaching all levels of mathematics courses and/or statistics courses. Duties include 12 hours of teaching each Fall and Spring semester totaling 24 hours of teaching per academic year. Courses will be made up of 3 and/or 4 credit hour courses. One year appointment with possible reappointment, pending funding and evaluations
Requirements: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Duties: Teaching, research, and service responsibilities in the area of applied mathematics and statistics
Requirements: Ph.D. in mathematics, statistics, or a related field

Duties: Provide independent statistical support to Neurosurgery research projects, demonstrating expertise in biostatistics, statistical analysis software, and relevant clinical research methods. Collaborate with multidisciplinary teams to design and implement statistical models, manage databases, and ensure effective communication of statistical concepts to non-statistical audiences; Critically evaluate statistical analysis plans for clinical trials and epidemiological studies, propose plans, and conduct sample size calculations. Prepare datasets for analysis by cleaning, merging, and reformatting data. Utilize SAS and/or R for statistical data analysis, computation, and programming
Requirements: A PhD in Biostatistics, Statistics, Epidemiology or related field is required, plus a minimum of three (3) years’ work experience in biomedical research in academia, government, or industry

Duties: As part of the Energy Services Team, you will be responsible for researching new ways to measure emissions and evaluate existing methodologies. Additionally, you will work with data from grid operators and other energy data sources to power new features across Apple’s ecosystem. Your role will require you to explore different ways to evaluate our short-term and long-term impact on the environment. We will help you build consensus for new ideas, based on a data driven story
Requirements: 5+ years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar; Strong programming background, preferably in Python; Experience with data analysis, data science tools, and data visualization; Experience with time series forecasting & evaluation, clustering methodologies and classification models

Duties: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Requirements: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems

Duties: Participate in the development process of ML based financial products as a technical leader; Collaborate with colleagues on production machine-learning systems and applications; Design, experiment, and evaluate software systems; Write, test, and maintain production-quality code; Represent Bloomberg at conferences and open-source communities; Demonstrate technical leadership by owning cross-team projects; Build the libraries and frameworks that support fault tolerant and testable systems
Requirements: A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience; 5+ years of experience building and deploying Machine Learning models to production; 2+ years of experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy; Extensive experience in software engineering

Duties: Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling; Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models; Support the development of new modeling techniques and procedures; Develop and maintain high-quality, robust predictive models using advanced analytic techniques
Requirements: Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau); BS/MS or PhD in a statistical, mathematical, or technical field (e.g., computer science, actuarial science); 4+ years of experience in developing and implementing data science techniques

Duties: Drive regulatory change with our legal, compliance, and government affairs areas to accommodate new product designs which may not have existing or adopted regulatory guidelines Provide on-going actuarial and regulatory knowledge and creative problem resolution within Product and to business partners across the organization for new and proposed regulations and product designs Represent Prudential Retirement Strategies in industry calls (ACLI, LICONY, CAI, and IRI), and lead coordination of responses to new and proposed regulations. Support ACLI Product committee member for Prudential
Requirements: Bachelor’s Degree; FSA preferred; Excellent verbal and written communication/presentation skills; 2+ years of experience in assessment of new regulations, working with industry groups; 3+ years of experience with Actuarial Regulatory support for contract filings (actuarial memos, nonforfeiture demonstrations)

Duties: Oversee adequacy and consistency of reserves across LM through objective and independent reserve reviews; Develop frameworks and cultivate actionable insights on matters that have enterprise-wide impacts; Drive reserving innovation through the research and application of alternative methods and approaches to address existing and potential opportunities; Influence key strategic decisions related to reserving through compelling, targeted and comprehensive communications around reserve analysis results; Collaborate with reserving teams across the company to connect related work, identify reserving themes and share best practices
Requirements: FCAS with at least 10 years of progressively increasing experience in actuarial roles; reserving and supervisory experience preferred; Broad knowledge of personal, commercial and specialty insurance; experience with non-US business and reinsurance preferred

Duties: Develop experience studies to support cashflow testing, principle-based reserves, and pricing functions; Facilitate company expense analysis for actuarial purposes, including the development of appropriate expense assumptions for modeling needs; Assist in assumptions setting for enterprise actuarial projections for financial planning and reserve testing; Participate in multiple process improvement and demand management initiatives; Maintain and enhance rating agency capital models
Requirements: Associate of Society of Actuaries, (ASA) designation; Bachelor’s degree in Actuarial Science, Applied Mathematics, Statistics, Economics, or Computer Science; Seven years of relevant actuarial experience

Duties: Wrangling data from multiple payment data sources used across the bank including data lake, data marts as well as 3rd party data for building data science products; Partner and provide thought leadership working with data engineering and data architecture teams to provide payments data expertise for building reusable analytical engineering products; Build highly specific analysis and insights using a variety of data mining techniques applied to payments data and customer behavior as observable through payment trends, usage and patterns; Performing full life cycle data science implementation in support of stakeholder business objective and strategic analytical initiatives: including data assessment, exploratory data analysis, model development, model evaluation, model deployment and monitoring by leveraging structured, unstructured, and temporal data
Requirements: Bachelor’s Degree in Mathematics, Statistics, Econometrics, Computer Science or degree in Business or Finance with quantitative specialization; 3-10 years of work experience in building, testing, and deploying machine learning models in production; Experience working with Payments standards such as NACHA, ISO, PCI/DSS and/or experience working with core banking platforms

Duties: As a Manager, Data Scientist, you will play a pivotal role in leveraging big data to design, develop, and implement innovative analytical solutions that quantifiably measure and predict consumer behaviors and business outcomes. If you are passionate about data science, possess a strong analytical mindset, and thrive in a collaborative environment, we encourage you to apply
Requirements: Bachelor’s degree in Decision Science, Analytics, Economics, Statistics, Computer Science, Applied Mathematics, or related field. Master’s or other graduate-level degree is a plus; 5-7+ years of progressively responsible work experience with data and analytics. Consumer Packaged Goods (CPG) experience(s) is an advantage; Proficiency in conducting complex data manipulation, model analyses, and synthesis of results independently

Duties: Actuaries are essential to GEICO’s continued success as one of the nation’s leading auto insurers. Their duties consist of determining rates for our various insurance products, analyzing and projecting drivers of loss trends, developing and enhancing new insurance products, examining and setting loss reserves, working with data infrastructure, and much more! Our actuaries are motivated, self-driven, and excellent analytical thinkers. GEICO’s actuaries do more than crunch numbers; they are active in determining business strategies, educating management on our profitability and projections, and communicating across departments to ensure company success. Actuaries are key members of GEICO’s management team, as a wide range of critical decisions are based on their projections and professional opinions
Requirements: A bachelor’s degree in mathematics, economics, actuarial science, statistics, or a related field; A cumulative GPA of at least 3.0 or demonstrated professional achievements in an analytical, quantitative, or related field; Proven quantitative, analytical, and problem-solving abilities

Duties: Work on unique, multi-omics datasets to support translational lung cancer metabolism research; Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data; Enjoy a close working relationship with bioinformaticians, statisticians, bench scientists, and translational researchers to establish a well-rounded multidisciplinary team; Join an institute that highly values computational research
Requirements: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data; Programming experience in statistical program R and/or scripting languages such as Python/Perl on Unix/Linux systems; Highly motivated and independent researcher with a background in cancer biology; Excellent communication and writing skills

Duties: You will be a part of a dynamic research environment where we aim to translate our understanding of immunology to develop therapies and diagnostics, transforming clinical practice and benefiting patient health; You will be a part of a team with broad computational and experimental expertise that values collaboration and mentorship; You will have access to pre-clinical and clinical samples and datasets; You will have access to state-of-the-art technologies, pioneering research, active seminar series with both internal and external speakers, and opportunities to publish/present externally
Requirements: You have a PhD in Computational Biology, Immunology, Genomics, Genetics, or related fields; You deeply understand the practice, principles, and challenges of statistical analysis and biological interpretation of omics data. You think critically about experimental design and practice reasoned skepticism; You are adept in the use of Python and/or R for statistical analysis, data transformation, and data visualization; You enjoy communicating science to and collaboratively interpreting data with teams with diverse scientific backgrounds

Duties: Takeda Development Center Americas, Inc. is seeking a Manager, Statistical Programmer
Requirements: Master’s degree in Math, Computer Science, or related field or foreign academic equivalent plus 6 years of related experience

Duties: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis
Requirements: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply. The successful candidate is expected to have good communication skills that are necessary for effective collaborations

Duties: Improve existing pipelines for content acquisition; Develop, train, and validate machine learning models to target various use cases for biological literature; Use a variety of NLP libraries and techniques for entity recognition and relationship extraction; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content
Requirements: Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering; Proficiency inJava or Python and a demonstrable ability to quickly learn; Solid understanding of the deep learning ecosystem; Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow; Experience with word embeddings and language models such as Word2Vec or BERT

Duties: We are searching for an outstanding Bioinformatics Engineer with an interest in working closely with computational biologists and experimental biologists to deploy bioinformatic methods and resources relevant to single-cell sequencing and spatial imaging. The focus of this work is the building and maintenance of software tools, pipelines, and resources for integrative analysis of high throughput sequencing and imaging data
Requirements: A PhD degree or equivalent experience in biological sciences, mathematics, physics, bioinformatics, or related discipline with a quantitative background; Knowledge of sequencing and imaging technologies and their application; Proven experience with computational tools and workflows for the analysis of genomic datasets; Strong programming skills and proficiency in scientific computing software and scripting languages such as Python and R

Duties: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Requirements: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; AWS certification is a plus; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting

Duties: The Biostatistician I is the entry-level position of the biostatistics career ladder. The role largely works under close supervision of teams that include a more senior statistician/manager and one or more biomedical domain experts. Management of this role is usually provided on a daily basis with emphasis on proper procedures and technical issues; Consults with team members to determine study design, conduct power calculations, identify appropriate variables and methods, format data, and identify and resolve data anomalies; Operates according to a statistical analysis plan that includes methods, programming procedures, variable definition, and data handling rules and procedures
Requirements: Bachelor's Degree; Previous experience with progressively more complex applied statistics; Previous applied experience in using one or more common statistical language programs

Duties: Data Analysis & Modeling: Develop predictive models and machine learning algorithms to enhance the performance of diagnostic devices. Conduct deep data analysis to identify patterns, trends, and insights that can inform product development and clinical strategies; Projects: Contribute to data science projects from conception to deployment, ensuring alignment with business objectives and regulatory requirements, and providing project estimates and team makeup. Collaborate with cross-functional teams to integrate data science solutions into product development and clinical trials; Innovation & Research: Stay abreast of the latest developments in data science, machine learning, and medical diagnostics. Under supervision, explore new methodologies and technologies that can drive innovation in diagnostic solutions
Requirements: Master’s or PhD in Data Science, Computer Science, Engineering, Statistics, Biostatistics, or a related field; Requiring a minimum of a Master’s degree +3yrs of experience or a Ph.D; Expertise in statistical analysis, predictive modeling, and machine learning algorithms; Expert proficiency in Python programming and software engineering principles

Duties: Creates design and construction of databases for the purpose of research projects and clinical trials. Monitors and coordinates data collection and provide critical feedback for improvement. Conducts statistical analyses for the use in reports, presentations and manuscripts. Provides advisory services in the use and interpretation of statistical analyses on research projects, clinical trials, grants, proposals, and consultation services
Requirements: Bachelor’s degree in Statistics/Computer Science/Bioinformatics/Data Specification/Data Science/Computational or equivalent experience. 3-5 years of experience in Statistics/Computer Science/Bioinformatics/Data Specification/Data Science