Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest; Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas; Use data driven methods and leverage the unique properties of our data to improve candidates retrieval; Work in a high-impact environment with quick experimentation and product launches; Keeping up with industry trends in recommendation systems
Anforderungen: M.S. or PhD in Machine Learning or related areas; 5+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning); End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Aufgaben: Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products. Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or longterm time frames. May research to define boundaries, create proof of concepts, or prototype new ideas
Anforderungen: More than 4 years (Ph.D. case 1+ years) experiences on deep learning research and development; Excellent problem solving and algorithm design skills

Aufgaben: Train Speech Recognition (Acoustic, Language, Punctuation), Speech-to-text translation (AST), and Speech-to-speech (S2S) translation models; Develop and maintain speech processing blocks and tools (alignment, segmentation, normalization etc.); Improve processes for speech data processing, augmentation, filtering & Training sets preparation; Measure and benchmark model performance; Gather knowhow on speech datasets for training & evaluation
Anforderungen: Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 5+ years of experience; Excellent programming skills in Python, Strong fundamentals in Programming, optimizations and Software design; Hands-on experience on Speech Technologies like Automatic Speech Recognition, Speech Command detection, Text to Speech, Speaker Recognition and Identification, speaker diarization, Noise robustness Techniques, Voice activity detection, End of utterance detection etc; Strong knowledge of RNN-T, CTC, and transformer decoders

Aufgaben: Für unsere Abteilung Supply Chain Management, das für die Produktion und Lieferung von Produkten in über 100 Länder verantwortlich ist, suchen wir einen Supply Chain Data Analyst (m/w/d). In dieser Position arbeitest du eng mit verschiedenen Teams zusammen, darunter Fertigung, Planung, Logistik und IT, um Verbesserungsmöglichkeiten zu identifizieren und kontinuierliche Verbesserungsinitiativen voranzurtreiben. Diese Position bietet eine grossartige Gelegenheit, in einem internationalen Umfeld zu arbeiten und ein breites Spektrum von Themen der Supply Chain und der Produktion abzudecken, einschliesslich Demand- und Supply Planning, Produktlebenszyklus, Bestandsverwaltung, externer Beschaffung, logistischen Transport und Qualitätsmanagement
Anforderungen: Mindestens Bachelor-Abschluss, bevorzugt in Supply Chain Management, Finanzen, Statistik oder Ingenieurwesen; Fliessend Deutsch und gute Englischkenntnisse (Muss); Neugierig, flexibel und "Hands on” Mentalität; Verständnis für End-to-End-Lieferkettenkonzepte und Distributionsstrategien; Fähigkeit, komplexe Sachverhalte zu analysieren und Details zu beachten; Starke Kenntnisse in Excel und Power BI (Power Automate und Power Apps ist ein Plus); Gute Kommunikationsfähigkeiten in Wort und Schrift

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data; Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims; Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Anforderungen: MD or PhD in computer science, genetics, computational biology, or related field; Expert in deep learning, statistics, proteinomics and/or genomics; Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences; Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines

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

Aufgaben: 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
Anforderungen: 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

Aufgaben: Write, test and perform quality control of SAS, R and SQL programs to perform data manipulation and analysis of large observational healthcare databases to produce analysis datasets and statistical reports; Lead a team of statistical programmers to deliver accurate outputs on time and to specifications; Coordinate with stakeholders to prioritize and manage workflow; Identify potential efficiency improvements and propose solutions
Anforderungen: Bachelors degree or equivalent in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject; Extensive SAS or R programming experience for complex data manipulation and analysis; Proven experience with database programming using SQL

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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