Duties: The Department of Chemistry is looking to appoint a Departmental Lecturer in Practical Chemistry (Inorganic) to support the delivery of its integrated practical chemistry course to undergraduate students. The Department of Chemistry hosts one of the largest cohorts of undergraduate students for its Masters of Chemistry degree. The course consists of both theory and practical teaching elements throughout the first three years, with the fourth year spent as a member of a research group
Requirements: You will hold a doctorate in Chemistry, and will have sufficient depth and breadth of knowledge of all branches of chemistry to deliver effective teaching of the integrated undergraduate practical course. You will have a demonstrable interest in and understanding of Chemical Education and the teaching of practical chemistry, including knowledge and understanding of modern pedagogic methods. You will have excellent communication, interpersonal, presentation, time-management and organisational skills. You will have a proven ability to work effectively and efficiently as an individual and collaboratively as a member of the team, and demonstrate tact, diplomacy and discretion in dealing with issues and people. A teaching qualification is desirable but not essential

Duties: Provide instruction in Biology/Zoology courses and related advanced level electives with a strong commitment to curriculum transformation and excellence in teaching; Establish a productive, student-centered, undergraduate research program in the area of biology, zoology, with an emphasis on research tools development. Incorporate experiential learning activities into research program; Active participant in scholarly activities, advisement, and mentorship of students, with active service on committees
Requirements: Ph.D. in Zoology, Ecology, Biology or related field(s) required; Strong research profile in Biology, with a focus on Zoology or Ecology and related fields

Duties: An exciting opportunity to join our BBSRC sLoLa program looking at molecular aspects of B cell responses and class switching, this laboratory-based post is offered immediately, until February 2025 with possible extension for a further year
Requirements: The position will be suitable for someone with an interest in B cell responses who has experience in cell culture and molecular techniques. A keen interest in interdisciplinary science is desirable, and any experience in single cell transcriptomics will be an advantage

Duties: Based at the University of York, you would lead a longitudinal study on language and ageing, including both younger and older bilingual adults. You would work closely together with Dr Angela de Bruin and other researchers on the project. Your responsibilities include supervising the project manager working on the project, setting up experiments, surveys, and focus groups, testing participants, analysing data, and disseminating the results through publications, conference presentations, and public engagement activities. As part of the project you will also work with clinical partners and people with cognitive impairment
Requirements: First degree and PhD (or equivalent experience) in Psychology, Linguistics, Cognitive Neuroscience, or a related discipline; Knowledge in experimental psychology and research techniques and methodologies, in particular knowledge of psycholinguistic research on bilingual production and comprehension

Duties: This project will focus on the design, expression and testing of the next generation of malaria transmission blocking vaccines as part of the UltiMalVax project. You will participate in the research project led by Professor Sumi Biswas to develop malaria transmission-blocking vaccines and contribute to wider project planning.This position offers the chance to gain valuable knowledge and training in both vaccine design and purification, as well as the overall vaccine development pipeline the Jenner Institute is renowned for
Requirements: To be successful in this role, you will hold a degree in a relevant biological subject, or a related discipline together with some practical laboratory experience with biological materials. You will have excellent communication and interpersonal skills with keen attention to details. You will have ability to research complex issues and interpret and capable for working independently in a laboratory. Having experience in molecular biology techniques is highly desirable

Duties: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Requirements: PhD (or soon to be awarded) or equivalent industry experience in; Robotics; Signal Processing/Control; Path Planning/Trajectory Planning; Multi-Target Tracking/Multi-Object Tracking; Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches; NeRF

Duties: Mainly research-related tasks: focus on in vivo procedures and model development, drug testing in vivo, in vitro cell culturing, cell- and molecular biology techniques, immunofluorescence, single-cell technologies, and more. Documentation, writing grant applications and manuscripts. Other tasks may be included
Requirements: PhD in a relevant subject such as cancer research or similar (PhD degree should not be more than three years old at the last day of applying; Substantial experience with in vivo procedures including in vivo drug testing; Broad experience of cell- and molecular biology and cancer research

Duties: We are seeking a Research Assistant to support a flourishing research program led by Dr. Rachel Tanner, studying tuberculosis (TB) in humans and cattle with a focus on novel vaccine development and evaluation. The successful applicant will be required to work across a range of projects including identifying immune mechanisms/correlates of protection from TB, developing ex vivo models for TB vaccine screening, and evaluating the effects of environmental changes on mycobacteria. The work will be conducted at the Peter Medawar Building for Pathogen Research, Oxford
Requirements: The postholder will have a bachelor’s degree, excellent organisational and laboratory management skills, and will be a team-player able to support other members of the group including a postdoc, graduate and undergraduate project students as required. The role will include performing experiments and day-to-day laboratory duties such as ordering and maintaining consumables and equipment, preparing reagents and documentation, shipping and cataloguing samples, and analysing data. Attention to detail is essential

Duties: The candidate will work in the research group in space physics focusing on particle precipitation. The group explores how energetic particle precipitation can affect the chemistry and dynamics of the neutral atmosphere in the polar region. Energetic electrons and protons, trapped in the Earth’s magnetic field, can collide with gases in the atmosphere. These collisions initiate several chemical reactions leading to the production of NOx and HOx gases, which in turn can reduce the ozone concentration
Requirements: Applicants must hold a master's degree or equivalent education in space physics or atmospheric physics or a related field; Documented good knowledge of and experience in one or more of these areas is a requirement: high latitudinal aeronomy (chemistry and/or dynamics); processes influencing energetic particle precipitation into the atmosphere; statistical methods for handling complex data

Duties: Effective risk and inforce management of globally assumed products with longevity risk; Driving efficiencies in longevity and collateral systems and processes; Leveraging the value in the inforce, through actionable analytics and business insights; Supporting new business growth
Requirements: Fellowship in a recognized actuarial organization preferred (FSA, FIA, FCAS, FIAA); 7+ years’ experience; at least 4 years post-qualification experience; Undergraduate degree in related field; Experience in actuarial modelling software such as Prophet and/or AXIS; Advanced knowledge of life, health, and/or annuity products; Advanced written and verbal communication skills, whereby complex and technical information can be conveyed in a way that is meaningful by all stakeholders, including senior management

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: Collaborate with researchers and data scientists to design sophisticated machine learning models; Implement and fine-tune neural network architectures, including transformer-based models; Optimize model performance, scalability, and efficiency; Conduct experiments to evaluate model performance, robustness, and generalization; Explore novel techniques and approaches to enhance model capabilities; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Work with large-scale datasets, preprocess them, and create appropriate data representations; Select relevant features and ensure data quality for training and evaluation
Requirements: Total 8+ years of relevant experience; Depth in Data Science, Generative AI and Engineering; Background in machine learning, deep learning, and natural language processing; Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product

Duties: Provide expert statistical support to EvGen leads and scientists in the design, analysis, reporting, and interpretation of RWD and in HEOR projects involving observational studies, including those in development supporting drug approval and reimbursement, HTA, as well as other post-approval activities, in order to inform decision-making and also to guide medical strategy and the scientific narrative through publications and external presentations; Partner with EvGen leads and scientists, other RWD statisticians, clinical statisticians, HEOR leads, clinicians, statistical programmers, and others to develop and implement an effective plan to leverage RWD
Requirements: Ph.D. in biostatistics or related discipline. A minimum of 3 years of experience with RWD and observational studies

Duties: You will provide leadership to statistical staff on the indications/projects so that all work is carried out with regards to AZ standards and external regulations; through partnership with experts, developing design options and providing high quality decision support to enable the business to make informed decisions; quantifying the benefit, risk, value and uncertainty of the emerging product profile
Requirements: MSc or PhD degree in Statistics, Biostatistics, or related quantitative fields, or equivalent course work/technical experience; Understanding of regulations/developments in the area of Clinical Development and Biostatistics; Appropriate experience as a statistician for the relevant position level with clinical trials, pharmaceutical development, regulated research, and/or related areas of statistical applications; A collaborative mindset; A general dedication to and ability to apply expertise to problem solving

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: 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 Principal Machine Learning engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings
Requirements: Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 5+ years of related industry experience in the data science domain; Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks); Experience building and scaling machine learning models in business applications using large amounts of data

Duties: Implementation AI projects, from conceptualization to deployment, ensuring high-quality and scalable solutions; Conduct research to identify and apply state-of-the-art AI techniques and algorithms to solve business problems effectively; Design and develop machine learning models, deep learning architectures, and natural language processing algorithms; Collaborate with data engineers and software developers to integrate AI capabilities into existing systems and applications; Evaluate the performance of AI models and optimize them for accuracy, efficiency, and scalability
Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field; 5+ years of experience in AI development, with a focus on machine learning and deep learning; Proven track record of delivering AI projects from inception to production in a fast-paced environment

Duties: Develop and implement AI/ML models and algorithms to solve business problems; Collaborate with cross-functional teams to understand requirements and translate them into technical solutions; Train and evaluate AI/ML models using large datasets; Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets; Optimize and fine-tune AI/ML models for performance and accuracy; Design and develop data pipelines to preprocess and transform data for AI/ML models
Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field; 6-9 years of demonstrated experience in applied AI/ML engineering; Strong programming skills in Python, with experience in developing and maintaining production-level code; Proficiency in working with large datasets and data preprocessing; Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing

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: Solve complex technical problems, often ones not solved before, at every layer of the stack; Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security; Build high-quality, highly available, always-on products; Research implementations that deliver the best possible experiences for customers
Requirements: 8+ years of non-internship professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience building complex software systems that have been successfully delivered to customers; Experience as a mentor, tech lead or leading an engineering team