Duties: Act as a senior peer reviewer of life insurance, disability, leave of absence and paid time off financial modeling including the following: Budget projections; Financial/population impact of alternative designs; Paid time off liability, termination payouts and accrual analysis; Collaborate with IAS colleagues to review data for accuracy, as well as develop and track project deadlines; Serve as project owner in strategic development of new financial reporting templates & continually monitor to improve standard models used in analysis; Analyze spreadsheets, graphs, and o
Requirements: A Bachelor’s Degree in Actuarial Science, Mathematics/Statistics, Business, or a Finance-related field with an emphasis in math, statistics, or finance required; Master’s degree is a plus; Minimum preferred credentials: ASA and MAAA (FSA, or plans to become an FSA, is a plus); 4-5 years of experience in the insurance industry, specifically in employee group life and disability benefits; Excellent customer service skills, with the ability to develop strong client relationships

Duties: Participate in cutting-edge research in machine learning and methods development for scientific discovery, including large language models and drug discovery; Develop and deploy machine learning models in production environments, working closely with other engineers to ensure scalability and reliability; Solve core engineering challenges including the design, implementation, and scaling of our machine learning algorithms
Requirements: MS or PhD in Computer Science, Statistics, related field or equivalent experience; 6+ years of industry experience in machine learning; Demonstrated success in technical leadership and in managing teams of machine learning engineers; Experience developing and deploying machine learning models in production environments; Strong programming skills in Python or another relevant language

Duties: An ideal candidate will be able to apply expert knowledge and experience in Actuarial Analysis to make business recommendations for rating plan changes via regulatory filings and actively contributes to shaping pricing and product strategies. As a member of the P&C Actuarial team you will be challenged and empowered to grow professionally
Requirements: Bachelor’s Degree or higher in Actuarial Science, Math, Statistics, Data Science or related field of study; Casualty Actuarial Society Designation (minimum ACAS, preferred FCAS); 2 or more years management/supervisory experience; 5 or more years of experience in the actuarial field within the P&C insurance industry

Duties: The Electrical Engineering and Computer Science (EECS) department at the Milwaukee School of Engineering (MSOE) seeks applicants to fill one or more Computer Science Faculty positions at any rank to support a cutting-edge online Master’s program in Machine Learning. This candidate may also teach courses in our undergraduate Computer Science or Software Engineering programs and advise capstone and research projects
Requirements: Candidates with expertise in Applied Machine Learning, Adversarial Machine Learning, Deep Learning, Generative AI, Tiny ML, Data Science, AI Platform Software, Data Engineering, or Cloud Computing are highly encouraged to apply, though expertise in any domain will be considered; Must have a Doctorate by the beginning date of the appointment (Fall 2024)

Duties: The Department of Statistics at the University of Georgia (UGA) invites applications for the position of Associate Director of the Statistical Consulting Center (SCC), starting July 1, 2024. This is a 12-month fulltime non-tenure-track position at the rank of Academic Professional Associate or Academic Professional (in the case of highly-qualified candidates) with a career ladder. See the UGA’s Guidelines for Appointment and Promotion of Academic Professionals for more information about each rank
Requirements: Applicants must have a Ph.D. degree in statistics, biostatistics, data science, or a related discipline by the time of appointment

Duties: Candidates are expected to sustain an active, externally funded research program, to engage undergraduate and graduate students through effective teaching, and to participate in service to the University and the profession. Candidates should be able to work effectively in a team environment. To advance scholarly innovation and excellence, we especially welcome candidates who will broadly increase the university’s diversity, equity, and inclusion through any of the following: their lived experience, research, teaching, and/or mentoring
Requirements: Candidates must hold a Ph.D. in Informatics, Bioinformatics, Biology, Public Health, or a closely related field (e.g., Science and Technology Studies, Epidemiology, Psychology). A firm commitment to the role of diversity in all aspects of research, education and service is essential

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

Duties: This position will work under minimal supervision of the faculty. They will participate in study and survey design, data collection, data management, data analysis, preparing IRB applications, grant preparation, and manuscript preparation
Requirements: Master's degree in Statistics, Biostatistics, Biometry, Mathematics or related field

Duties: The Department of Linguistics at University of Florida invites applications for a Visiting Assistant Professor in the areas of syntax and semantics beginning August 16, 2024. This is a 9-month, full-time, non-tenure-accruing, appointment with a 2/2 course assignment. Expertise in syntax and semantics is required and additional expertise in field methods and morphology is welcome. Participation in department life and appropriate department service are also expected
Requirements: A Ph.D. in linguistics or be in their final year of Ph.D. study

Duties: Visiting Assistant Professor/Instructor in Mathematics to teach courses in Mathematics at the undergraduate level. Position begins August 19, 2024. The position is renewable for up to five years, contingent on performance and funding
Requirements: Ph.D. in Mathematics

Duties: The Department of Mathematical Sciences within the School of Natural Sciences and Mathematics (NSM) at The University of Texas at Dallas invites applications for multiple tenure-track faculty positions at the Assistant Professor level in the following areas: Mathematics; Statistics; Data Science
Requirements: A PhD or equivalent in Mathematics, Statistics, or a related discipline is required prior to employment; those with ABD status will be considered at the application/interviewing stage

Duties: This is a 9-month tenure track appointment with expected research (45%), teaching (50%), and professional service (5%) responsibilities at the Assistant Professor level in the Warnell School of Forestry and Natural Resources at the University of Georgia (UGA). This position will focus on the use of contemporary and advanced forest biometric methods to quantify and improve forest management through modeling, with an emphasis on pine plantations in the southern U.S
Requirements: Prior to appointment, applicants must have a Ph.D. in Forest Biometrics, Forestry, or a closely related field

Duties: With guidance, you will lead biostatistical analysis and reporting, document review and data inclusion for NDA submissions of assigned studies by collaborating with cross-functional partners to meet clinical development project deliverables and timelines. This may include, but is not limited to, providing statistical consultation on clinical development plans, clinical trial design and clinical study endpoints, calculating sample size, authoring statistical analysis plans and providing biostatistical input into clinical development documentation, scientific publications and presentations, and regulatory filings. Dependent upon the area of assignment, you may lead projects or other activities that are non-molecule based, such as Biostatistics tools, programming, centralized analyses and reporting, etc
Requirements: PhD in biostatistics or related discipline with relevant experience in statistical analysis of biomedical data using SAS software in the biopharma industry, healthcare, consulting, academia or a related environment. PhD with 2+ years’ biostatistics experience is preferred; MS in biostatistics or related discipline with 6+ years’ relevant experience in statistical analysis of biomedical data using SAS software; Multiple years’ biostatistics or related experience, including experience effectively leading small projects and project teams; Significant biomedical statistical analysis experience and experience working with relevant software

Duties: Collaborates in design of innovative and efficient clinical trials, including the selection of study population/endpoints to address study objectives, and contributes to project development strategy; Defends protocols and analysis plans at internal governance reviews and provides independent reviews of complex protocols; Independently authors and/or reviews protocol, statistical analysis plan, clinical study reports, associated publications, and other study level documents; Presents summary data and analyses results, in a clear, concise, complete, and transparent manner; Provides statistical support and leadership to address health authority request, publication, presentation, and other public release of information
Requirements: PhD (6+ years’ experience) or MS (8+ years’ experience) in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience; Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation; Great interpersonal, communication, writing and organizational skills; Expertise in statistical/clinical trials methodology as it related to clinical development and ability to apply to relevant clinical development framework

Duties: Provide expert statistical consultation and strategic leadership from plan to execution during all Phases of drug development. Provide directions to statisticians on statistical and programming principles and methodology. Responsible management of administrative and scientific activities of Biostatistics group. Lead and implement valid and innovative study design, analysis and reporting of clinical study results. As a formal member of a cross-functional clinical drug development team, lead and plan clinical drug development programs
Requirements: MS or PhD in Statistics, Biostatistics or related field with 10+ years related experience; Strong oral and written communication skills and leadership capability; Communicate and manage effectively throughout all levels of the organization

Duties: Contributes to the efficient planning, execution and reporting of clinical/observational studies, post hoc analyses, HTA analyses, regional analyses, PK-PD and Biomarkers analyses; Translates scientific questions into statistical terms and is responsible for the quality and timeliness of corresponding statistical deliverables
Requirements: PhD or M.S in Biostatistics, Statistics or related scientific field; 3+ years (6+ years for MS) of experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry or in providing statistical direction in these areas

Duties: Analyze and interpret complex datasets using Python/SQL and other analytical tools; Develop and maintain data hygiene processes to ensure data quality and results accuracy; Deliver results and insights using different data sources; Utilize Python/SQL to automate recurring projects as well as Ad Hoc request; Appropriately account for the timeliness and quality of all assignments
Requirements: Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework; 1; 3 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases; Demonstrated proficiency in Python/SQL programming; minimum 2 years; Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook; Strong analytic thought process and ability to interpret findings

Duties: Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources; Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc; Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy; Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution
Requirements: Master's degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.); Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning; Understanding of clinical trial processes, protocols, and operational challenges

Duties: Architect, design, enhance, and build next generation fraud detection solutions. You will support all the product engineering lanes of EOR, with their AI/ML initiatives; Drive the architecture for key cross team/cross product AI/ML projects (via architecture/design documents and developing code key modules); Collaborate with product stakeholders to formulate business problems as technical data-centric problems; Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code as needed; Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
Requirements: 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience; PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis; Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks

Duties: As a Computational Biologist, you will lead the integration and analysis of complex biological datasets to uncover novel drug targets and biomarkers. You will apply advanced computational and statistical techniques to CRISPR-based gene editing screens, DNA sequencing, transcriptomics, epigenomics, and proteomics data. Collaborating closely with interdisciplinary teams, you will drive data analysis strategies and contribute significantly to our drug discovery and development processes
Requirements: PhD in Computational Biology, Bioinformatics, Biostatistics, or a related field, with 2+ years of post-PhD experience. Industry experience preferred; Experience in Oncology and knowledge of cancer biology; Experience in cancer genomics and sequencing analysis required. Familiarity with publicly available genomics datasets and omics data resources; Proficiency in programming languages (Python, SQL) and bioinformatics tools/packages (R) and AWS

Duties: The Department of Mathematics at the University of Rochester invites applications for several non-tenure track Visiting Assistant Professor positions for new or recent PhDs. The positions are for two years, renewable for a third upon satisfactory performance, and carry a 2-2 annual teaching load. Areas represented by the department, including (1) algebraic topology, (2) analysis, (3) combinatorics, (4) differential geometry and global analysis, (5) number theory, and (6) probability, will be preferred
Requirements: Qualifications include a PhD in mathematics, strong evidence of excellence in the teaching of undergraduates, and outstanding promise in research

Duties: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Work on 2nd and 3rd Gen AI systems (Cognitive & Neuromorphic AI); Develop Solutions for neuromorphic systems and or Drones (UAS/UAV) AI/ML sensor fusion; Develop AI/ML Solutions for Aircraft systems and sensor fusion; Perform Data Science, analysis duties, design/make devices; May also support non-AI programs; Drive the team to meet budgets and schedules; May support Business Development activities
Requirements: Requires a Masters in Computer Engineering, Electrical, AI, or equivalent with directly related experience; A PhD in a related field is preferred; 8+ years related industry experience; Experience writing C/C++ code; It is preferred that at least 5 of these years are in creating/maintaining/teaching and deploying Commercial, Medical, or DoD AI; Shown industry development and deployment of AI experience. Experience may be in other industry fields (DoD, Medical, Commercial, etc); Experience with second/third generation AI, ML, Deep Learning, and signal processing/sensor fusion is preferred; Experience leading others to meet schedules

Duties: Communicate effectively with internal team, external clients, and industry partners; Design, build, debug and implement robotic and automation solutions utilizing mechanical, electrical, and software skills; Coordinate individual performance goals and objectives set by the organization; Assist in preparing proposals and cost estimates; Interact with customers to promote new business and develop technical requirements
Requirements: Requires a PhD in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or similar engineering degree; Must, at a minimum, have robotics experience in the form of projects, previous employment, or coursework; Demonstrated project work using C++ or python is beneficial; A valid/clear driver's license is required

Duties: Carry out preparation, clean-up, and quality control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings; Collaborate with interdisciplinary teams to design experiments and analyze data from various single cell platforms; Maintain knowledge of latest bioinformatic approaches and variety sequencing technologies, especially in single-cell context; Present results at multidisciplinary project meetings; Produce output for scientific publications and co-author said publications
Requirements: Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities; Demonstrated experience and understanding of genomic technologies and analysis of data generated; Analyzing and interpreting outputs to identify insights and hypotheses from data; Understanding of essential statistical methodologies required for bioinformatics analyses

Duties: The position will involve a mixture of methodological and collaborative research in biostatistics, bioinformatics, and genetics. The methodological research may include but is not limited to developing novel methods for time-to-event modeling, multivariate statistics, high-dimensional and spatial data modeling. The collaborative research may include but is not limited to software tool dissemination into clinical practice and participation in the multi-institutional efforts in studying cancer. This position will require writing statistical/biostatistical manuscripts, assisting in writing biomedical manuscripts, developing/maintaining statistical software packages, and other academic activities
Requirements: The ideal candidate should have a Ph.D. in statistics, biostatistics, or a related field. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts