Duties: The university offers support of academics from a broad range of career paths, whether you are an established academic who currently holds an equivalent position, or a successful academic seeking an opportunity to grow into a more senior role, this is the place to do something truly unique with your expertise. You will have experience in bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans these backgrounds with a track record and demonstrated curiosity for interdisciplinary research
Requirements: To apply, you will need a PhD, or equivalent professional qualifications, with a strong publication record, and able to demonstrate delivery of teaching in a manner that meaningfully engages students. You will have a track record of innovative research in one or more of the following: Computer Science, Health Data Science, Health Research Method Development and Analysis, Bioinformatics, Epidemiology, Public Health, large-scale ‘Omics data analysis, or systems biology; and have a desire to build a strong interdisciplinary research team with the support Medicine and ECS

Duties: As a postdoctoral researcher, your key duty is to develop computational solutions to generate high-dimensional synthetic cohorts, consisting of simulated biomarker and imaging data from patients with neurodegenerative diseases, as well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based transformers). When successful, the synthesis will result in cohorts that recapitulate the original data set’s associations between multimodal features (e.g., biochemical markers, neuroimaging, cognitive testing, proteomics, and genomics), but also allow for reproducible discoveries. Additionally, the generation of synthetic data should preserve patient integrity and privacy in a way that allows for flexible and rapid sharing of the synthetic data between researchers and labs
Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met no later than when the employment decision is made. Therefore, we also welcome applicants whose PhD degree will be completed imminently; Advanced programming skills, e.g., in R or Python; Good knowledge of machine learning, generative modelling and deep learning; Good knowledge of parallelized computing and use of computer clusters; Good knowledge of oral and written communication in English

Duties: Lead all stages of Data, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery; Contribute to hands-on development of data & analytics solutions; Collaborate with business and technology partners to co-create solutions anchored on customer care, human-centered design, frictionless services, and meaningful engagement; Develop Data and Analytics roadmaps. Deliver solutions with transformational impact to the Enterprise; Communicate, engage, and present roadmaps, use cases, solutions and impact to senior management; Deliver products and solutions in a timely, proactive, and entrepreneurial manner; Institutionalize best practices, contribute to research and experimentation efforts
Requirements: Bachelor’s/Master’s degree in an information technology/computer science or relevant domain. MBA or financial services industry experience preferred; 10-14+ years of relevant experience in data and analytics product & solution delivery; Traditional as well as modern statistical and machine learning techniques; Azure ML, OpenAI, Python, PyTorch, SQL, and TensorFlow; Experience working with large and complex internal, external, structured and unstructured datasets

Duties: Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases. As a trailblazer in the biotech sector and bolstered by our status as a publicly traded entity, our ambition is to craft a comprehensive bio-computing infrastructure. This endeavor aims to harness the vast potential of extensive clinical datasets alongside AI, paving the way from diagnostic breakthroughs to therapeutic innovations. The role of the Senior Director of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors. In this capacity, you will orchestrate a team of exceptional bioinformaticians and biostatisticians, steering efforts in target identification, biomarker unveiling, and patient stratification
Requirements: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field; At least 8 years of post-graduate experience in bioinformatics or computational biology, with a proven track record in the biotechnology or pharmaceutical industry

Duties: Responsible for projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP); Ensure that FSP programming meets quality, compliance, timeline, and productivity expectations; Align FSP assignments with Amgen Development priorities; Responsible for FSP performance metrics development, data collection, and reporting and lead the GSP continuous improvement initiatives
Requirements: Bachelors degree or equivalent in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subject; Extensive SAS programming and reporting experience including SAS Base, Macro, STAT, Graph, and SQL, among others; Detailed understanding of clinical trial processes in the biopharmaceutical industry, from data collection to analysis reporting; Ability to lead programmers in successful completion of all study programming activities and provide mentorship on technical and process related questions

Duties: Implements and develops computational analysis pipelines for spatial transcriptomics data and other new kinds of spatial data, implements and develops image analysis software for analyzing microscope images, and produces graphs and data presentations; Utilizes high-performance local and cloud-based computational resources to set up and run custom data analysis pipelines; Works closely with a team of scientists on cutting-edge cardiac biology and neuroscience research projects; Documents code and assists other scientists with analysis; Exercises judgment within defined procedures and practices to determine appropriate action; Performs other related duties as assigned by management
Requirements: B.S. degree in computer science, bioinformatics, computational biology, bioengineering, mathematics, statistics, or related discipline; 4+ years of professional experience in a scientific role in a relevant field (graduate studies included); Advanced Python coding skills

Duties: Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Requirements: A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science; Demonstrated experience in the field of computational biology, CRISPR off target genomics, cancer genomics, and/or single-cell genomics; Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) sequencing; Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines; Expert-level proficiency in relevant programming languages such as R and Python; Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git)

Duties: Establish dedicated analysis and informatics to support company milestones; Support internal R&D projects and Product Development; Develop, implement and troubleshoot novel analysis tools for SBS/ZMW/nanopore-based raw data and sequencing data; Support all science teams through the development of systems for streamlined data acquisition and collaborate with colleagues to create specific analysis pipelines that address team needs; Automate data analysis pipelines, maintain SOPs for multi-team use, and provide troubleshooting support as needed; Maintain a centralized, shared and organized historical records of experiments conducted, problems solved, and bugs fixed; Generate professional reports and visuals on performed data analysis, developed tools, and approaches, playing a critical role in the development of internal processes and eventual customer applications
Requirements: Ph.D. or M.S. in Bioinformatics, Statistics, Computer Science, Computational Neuroscience or a related field; For Senior Scientist: Ph.D with 4+ years of industry experience; or M.S. with 6+ years of post-graduate experience; For Staff Scientist: Ph.D with 8+ years of industry experience; or M.S. with 12+ years of post-graduate experience; Experience applying signal processing and signal filtering techniques to 1D/2D time-varying data. Eg. Image classification, Audio Signal Processing, digital signal from electronics etc. (Preferred experience with raw imaging data from SBS-style DNA sequencing or raw electrical signal from nanopore sequencers)

Duties: The primary purpose of the Associate Data Scientist is to leverage the capabilities of next-generation sequencing data to drive forward the discovery and development of novel therapeutics for cancer patients. This crucial role is centered on analyzing and interpreting intricate genetic information at the single-cell level to identify unique biomarkers and understand tumor heterogeneity. By crafting advanced computational tools and algorithms, the Associate Data Scientist will play a crucial part in accelerating scientific discoveries and contributing to the development of new therapies and diagnostics that can transform patient care and health outcomes
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: Lead programmer for one or more clinical validation studies supporting in vitro diagnostic submissions (e.g., IVDR, 510(k), CTA/CDx/PMA, etc.) including dataset and TFL generation; Perform programming validation and maintain documentation as needed; Lead development of programming infrastructure, including R package development and; Contribute to development of junior team members
Requirements: Bachelor’s in statistics, mathematics, computer science, or related field; 5+ years related experience with at least 3 years experience in Clinical Trial analysis; At least 3 years R programming experience, including package development

Duties: Sie interessieren sich für Konsumentenverhalten, Digitalisierung, Künstliche Intelligenz, neue Technologien allgemein und wissenschaftliches Arbeiten? Sie wollen an hochaktuellen und -relevanten Themen im Zusammenspiel zwischen Marketingtheorie und -praxis arbeiten und dabei selber neues Wissen generieren? Dann sind Sie bei uns richtig! Wir sind ein junger und hochmotivierter Lehrstuhl (Prof. Dr. Reto Hofstetter) mit ambitionierten Forschungsprojekten in Kooperation mit internationalen Top-Universitäten (z.B. Columbia, Michigan, Wharton oder Stanford University) und Unternehmen. Inhaltlich liegt unser Schwerpunkt im Bereich Digitales Marketing und Konsumentenverhalten
Requirements: Ein überdurchschnittlich abgeschlossenes Studium in Betriebswirtschaftslehre, Psychologie oder Data Science oder angrenzenden Bereichen (bevorzugt universitärer Abschluss); Interesse an wissenschaftlichen Fragestellungen im Bereich Konsumentenverhalten; Hohe Eigeninitiative und Zielorientierung; Sehr gute Englischkenntnisse in Wort und Schrift; Motivation am Erlernen neuer Methoden und statistischer Verfahren (Programme wie R, Stata, Python, etc.-sollten keine Fremdworte für Sie sein)

Duties: You will be part of a recently funded scientific project from the Swiss National Science Foundation (SNSF) in the field of consumer online reviews. Your key task is to conduct empirical research related to the field of this project; Other tasks include general scientific and administrative activities related to your position at the University of Lucerne
Requirements: An above-average degree in marketing, economics, machine learning, or data science; Excellent data analysis skills (econometrics and/or text and image classification skills); Strong interest and passion for scientific questions related to marketing and marketing analytics; A high level of personal initiative and goal orientation; Excellent command of written and spoken English (speaking German is a plus, but not a strong requirement); A strong attention to detail and high-quality focus

Duties: You will be part of a recently funded scientific project from the Swiss National Science Foundation (SNSF) in the field of consumer online reviews. Your key task is to conduct empirical research related to the field of this project; Other tasks include general scientific and administrative activities related to your position at the University of Lucerne
Requirements: An above-average degree in machine learning, or data science; Excellent data analysis skills (deep learning, in particular text and image classification skills); Strong interest and passion for scientific questions related to marketing and marketing analytics; A high level of personal initiative and goal orientation; Excellent command of written and spoken English (speaking German is a plus, but not a strong requirement); A strong attention to detail and high-quality focus

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Workload: 80-100%
Duties: Betreuung, Optimierung und Weiterentwicklung von Geschäftsprozessen im SAP HCM-Umfeld für verschiedene Gesundheitsinstitutionen zusammen mit Ihren Kolleginnen und Kollegen aus den anderen SAP-Teams; Durchführen von Customizing und Erstellen von Spezifikationen für Entwicklungen im S/4HANA; Unterstützen der Keyuser durch Schulungen und allgemeinen Support; Management von externen Implementierungspartnern (Koordination, Auftragserteilung, Kontrolle); Umsetzen von Projekten im HCM-Umfeld zusammen mit dem Fachbereich
Requirements: Abgeschlossene Wirtschaftsinformatik- und/oder betriebswirtschaftliche Ausbildung; Mehrjährige fachliche, prozessuale und Customizing-Erfahrung im SAP HCM; Sehr gute analytische und konzeptionelle Fähigkeiten; Hohe Kundenorientierung, exakte und selbstständige Arbeitsweise

Workload: 50%
Duties: Version 1, Technical internship: You will write software to test a new smart event-based camera that we have recently built; You will implement and test neural-network architectures for object detection and tracking or for 3D vision using this camera; You will document the software and write a report about your work; This work can be formulated as a BSc or MSc thesis and might lead to scientific publications or dem OR; OR; Version 2, User study internship: You will help to develop questionnaires and use case scenarios (story boards) to find out the requirements, needs, and challenges for robotic assistants in healthcare; You will help determine the relevant stakeholders and fine-tune the interview questions to different groups; You will conduct the interviews online or face to face; You will analyze the results of the interviews and help formulate a hierarchy of use cases, their requirements and constraints and write a report about the study; This work may lead to a publication and c...
Requirements: BSc or MSc in Computer Science, Electrical Engineering, Mechanical Engineering or similar; Good programming skills (python, C++); Experience with Machine Learning and/or Computer Vision and/or Robotics; Option 2: BSc or MSc in Social Sciences, Humanities, or Life Sciences

Duties: The candidate will work in the Centre for systems and information technologies and applied mathematics in an interdisciplinary research group that operates at the intersection of computer science, information science, mathematics, system theory and automatic control systems. The group develops new approaches to modelling and applies them to a variety of fields, from biomedicine to education and industry. It also develops methods for intelligent data analysis and knowledge discovery
Requirements: a doctorate in computer science; research experience and internationally recognized publications; a good command of English

Duties: To assist the Dean and the Department Heads with research coordination and management; To help the Faculty’s researchers find, apply for, receive, and manage research funding (e.g. EU and FNR), including support for financial project reporting and contributing to solve IPR issues; To support the Faculty’s research activities and dissemination in academia and society; To participate at meetings, info days, and other events; To ensure internal communication and cooperation within the Faculty and the University administration regarding all research related questions
Requirements: University degree in STEM; Sciences, Technology, Engineering and Mathematics, candidates with a mathematics degree will be given preference; Experience in research proposals writing and project management (e.g. H2020, INTERREG), project monitoring, fundraising, budget management, editing of activity reports; Experience in the use of common computer software and collaborative on-line platforms; Excellent communication, organisational and interpersonal skills; Excellent command of English and French/German. Preference will be given to candidates fluent in all languages

Duties: Integrated Cyber Security Project for energy systems
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: As a PhD student working in the SolveMSR project, you will be involved with both theoretical and practical methodological developments, in accordance with the research and tools described above. You will be splitting your time between DTU Chemistry and Seaborg Technologies, which is a dynamic, young company located ca. 10 km from DTU. You must have an interest and a strong background in theoretical and computational chemistry/chemical engineering, materials science, or physics, preferably experience in high-performance computing with large software packages, and a clear motivation for conducting exciting work at the forefront of modern energy sources research towards a sustainable future in a thriving academic environment in the greater Copenhagen area
Requirements: To apply for the present position, you must have obtained a 2-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a 2-year master's degree. The ideal candidate should be able to work independently and be confident in both written and spoken English. In addition, the applicant should be ambitious and strive towards scientific excellence

Duties: The Basel University Psychiatric Clinics (UPK) employ more than 1200 members of staff and are among the leading psychiatric clinics in Switzerland. We belong to the public health system of the Canton of Basel-Stadt and are accordingly responsible for providing high-quality, needs-based psychiatric/psychotherapeutic care for adults, children and adolescents
Requirements: We crawl all higher jobs in research, teaching and administration at UPK automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Die Bandbreite der Projekte ist gross: Vom Aufbau neuer Geschäftsfelder über Risikomanagement bis hin zum Projektmanagement grosser IT-Projekte; Als Einsteiger arbeiten Sie von Beginn an in einem Projektteam mit erfahrenen Kollegen. Sie entwickeln Konzepte und Lösungen für komplexe Problemstellungen und wirken an deren Umsetzung mit; Sie erarbeiten bei unseren Kunden Lösungen für anspruchsvolle analytische Fragestellungen; meist mit betriebswirtschaftlichem, finanzmathematischem und/oder IT-Hintergrund
Requirements: Sehr gut abgeschlossenes Studium (Diplom, Master oder Promotion) in Physik, Mathematik, Informatik oder einem anderen naturwissenschaftlichen Studiengang; Klares analytisches Denkvermögen; Gute IT-Kenntnisse und Beherrschen einer Programmiersprache; Sehr gute Deutschkenntnisse (mindestens C1-Level)

Duties: Individuals and companies register their innovations and creations with the Swiss Institute of Intellectual Property (IPI) in order to protect them from being copied: inventions are patented, names registered as logos or trade marks and shapes as designs. The IPI maintains the public register for the management of IP rights and informs the general public about the possibilities of protecting intellectual property. The IPI is the federal government’s centre of competence for all issues concerning patent and trade mark protection, indications of source, design protection and copyright
Requirements: IGE posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: Das Eidgenössische Nuklearsicherheitsinspektorat ENSI ist die Aufsichtsbehörde des Bundes für die nukleare Sicherheit und die Sicherung der Schweizer Kernanlagen. Wir bieten Ihnen verantwortungsvolle Positionen mit vielseitigen Kontakten in einem interdisziplinären, technischen Umfeld und einem motivierten, kollegialen Team. Neben einer modernen Infrastruktur und attraktiven Anstellungsbedingungen profitieren Sie zudem von den Vorzügen unseres zentral und verkehrstechnisch günstig liegenden Standortes in Brugg (Schweiz)
Requirements: Bietet das Eidgenössische Nuklearsicherheitsinspektorat ENSI gerade keine passende Stelle an, die Ihren Fähigkeiten, Ihren Wünschen und Vorstellungen entspricht? Dann können Sie sich auch initiativ mit einer Spontanbewerbung bewerben

Duties: Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms, fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems; Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment; Facilitate model deployment to production and establish MLOps practices, including monitoring and maintenance of ML models; Be a technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion
Requirements: Doctorate degree; Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing; Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework