Aufgaben: Optimize scalable single-nucleus and spatial genomic technologies for fresh and archived human biospecimens; Apply targeted and systematic genome engineering approaches to perturb candidate regulatory elements or genes in relevant cellular models; Work with collaborators to develop and optimize phenotypic screens for genetic and drug perturbations. There will also be opportunities to develop bioinformatics and computational skills through collaborations on multiple internal and external projects
Anforderungen: Requires a doctoral degree or master's degree with significant experience; Some experience in bioinformatics or computational biology is preferred but not required

Aufgaben: Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Experience in single cell data analyses and integrative multi-omics approaches is a strong plus; A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects
Anforderungen: Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field; Experience with multiple programming languages such as Python and R

Aufgaben: With this translational context in mind, Dr. Baxevanis’ group is currently leading international efforts to sequence two cnidarian species: Hydractinia and Podocoryna. The regenerative abilities of these colonial hydrozoans make them excellent models for the study of key questions related to pluripotency, allorecognition, and stem cell biology, work that will be significantly advanced by the availability of high-quality whole-genome sequencing data from these organisms. The successful applicant will have the opportunity to develop and apply bioinformatic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that have putative roles in disease causation
Anforderungen: Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required

Aufgaben: Provide AI/ML and computational biology expertise to support Vaccine research & Development; Develop an integrated framework connecting multi-omics data analysis and ML algorithm to enhance vaccine target selection and optimization strategy; Work with platform leadership to shape and inform key RNA strategy and execution; Actively identify opportunities to leverage latest advances in AI/ML application; Communicate study findings efficiently and present data at various meetings as projects progress; Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer, and potentially from external partners
Anforderungen: PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field; 6+ years of experience developing and applying Machine Learning to address challenge biological problems; Foundational knowledge of ML methods and underlying mathematical concepts; Research experience related to next generation RNA therapeutics design and drug discovery; Proficiency with deep learning frameworks and data structures

Aufgaben: We are building on this experience by forming a strong and diverse research group focused on developing and implementing cutting-edge methods and technologies for discovery and replication, molecular diagnosis, functional dissection of pathways, and targeted therapeutics for neurodevelopmental and related disorders. This work has the potential to dramatically improve the lives of individuals affected with these currently untreatable disorders through early intervention and biologically based personal therapies. Areas of interest include: genomics, single-cell genomics, modeling of neurodevelopmental disorders in stem cell (iPSC) and animal systems, massively parallel functional assays, and bioinformatics
Anforderungen: PhD, MD or MD/PhD in neuroscience, cell/molecular biology, genetics or related field; Strong interest in developmental neuroscience; Demonstrated ability to work independently and learn new techniques quickly; Candidates must be well organized, self-motivated and dependable; Excellent communication skills with the ability to plan, document, analyze and report data

Aufgaben: We're looking for a creative, collaborative, and highly motivated bioinformatics scientist to join our biology R&D team to work on exciting advanced biology research projects for the U.S. Government. The candidate will work with a team of about 10 people, and will contribute to multi-year, interdisciplinary programs that bring together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security
Anforderungen: A degree in Bioinformatics, Computational Biology, Data Science or a related field plus 8 years of progressive technical experience; Bioinformatics software development and analysis experience with a knowledge of common bioinformatics tools and workflows (genomics required; transcriptomics/proteomics/metabolomics/multiomics are desirable)

Aufgaben: Independently devise and execute analyses on primary protein data, then communicate the results of said analyses in a clear and actionable manner to all members of the company regardless of their scientific background; Set the direction for future evolution of our protein decoding approaches, including hands-on work to research, prototype, and test the accuracy & performance of any modifications to the decoding algorithms; Work closely and cross-functionally with representatives of other disciplines across the company to provide them with an understanding of our current protein decoding capabilities and to guide experimental & instrument improvements to optimize our decoding performance; Collaborate with the software engineering team to implement, validate, deploy, and monitor the identification & quantification algorithms in production at scale
Anforderungen: PhD in Bioinformatics, Computational Biology, or related field with a minimum of 8-12 years of relevant industry experience; 4+ years of experience in managing a team of bioinformatic scientists; Demonstrated history of effectively leading an organized and dynamic team in a fast-paced, deadline driven environment, including determining team research direction and priorities; Demonstrated ability to computationally model biological processes, then conceive and implement novel algorithmic approaches that extract insight from real-world data based on these models

Aufgaben: Designing, developing, building, and maintaining peptide design pipelines, focusing on (but not restricted to) structural and conformational aspects; Maintaining a scientific and technical watch and staying abreast of the state-of-the-art in the fields of protein structure prediction and peptide and protein design, from both global research and industrial perspectives; Performing structural analyses of systems of interest (detection of pockets, detailed analysis of protein/protein interfaces, of docking pose, etc.); Engaging with other peptide and protein design companies to develop partnerships or to conduct joint projects
Anforderungen: Ph.D. in computational chemistry, molecular modeling, structural biology, machine learning, or a related field, with a strong theoretical background as demonstrated by contributions to leading journals; or an equivalent combination of education and experience; Hands-on experience designing, training, or utilizing modern deep-learning tools for protein structure prediction, protein modeling or protein design (e.g. AlphaFold, ProteinMPNN, Rosetta tools etc.); 3 or more years of experience in protein structure prediction and analysis, including expert knowledge of modern computational chemistry packages and tools, with an emphasis on molecular dynamics, structure prediction and analysis, virtual screening/docking

Aufgaben: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically
Anforderungen: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; 2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience

Aufgaben: Develop computational methodology and perform critical analyses to support development of new products and improvements to existing products, both as an individual contributor and/or as a team leader; Collaborate with cross-functional teams including members from assay development, software engineering, marketing, quality, regulatory, and others to execute complex product development projects; Work closely with bench scientists to develop and optimize new wet-lab protocols in concert with computational biology development efforts; Analyze large genomic and epigenomic datasets using cutting-edge computational biology methods to identify genomic alterations and biomarkers associated with cancer onset and progression and to craft novel tools to detect those patterns
Anforderungen: PhD in a life science or computational discipline; 5+ years of postdoctoral research or professional experience related to NGS or cancer diagnostics

Aufgaben: Research and implement efficient AI/machine learning (ML) algorithms and feature exploration methods Develop worfklows from existing algorithms, or modify bioinformatics methods to analyze next generation sequencing (NGS) data, including but not limited to long-read sequencing, RNA-seq, whole genome sequencing (WGS), scRNA-seq. Develop and implement novel algorithm and methods for NGS data types to meet R&D objectives, and the demonstration of the validity of the methods through prototypes and benchmarking using appropriate controls
Anforderungen: PhD in Computer Science, Bioinformatics, Molecular and Cell Biology or related disciplines; 4+ years of hands-on experience with gene expression/NGS data analysis using AI/ML; Expertise with common NGS visualization and processing tools (e.g., IGV, samtools, DESeq2); Proficiency in Linux/Bash, Python and R; Familiarity with Cloud

Aufgaben: KIT; The Research University in the Helmholtz Association; combines university tradition with program-oriented research. In 2009, the Technical University of Karlsruhe and Karlsruhe Research Center merged to KIT. The framework conditions presently offered to KIT researchers are accordingly unique in the German science system. Nowhere else can researchers use the infrastructure of a large-scale research center and collaborate at a university of excellence across the disciplines of natural sciences, engineering, economics, the humanities and social sciences. Research at KIT is aimed at creating new findings, applications, and solutions to master the global challenges facing humankind with pathbreaking contributions; in particular in the areas of energy, mobility, and information. The only German university of excellence with a national large-scale research sector offers unique education and training options for students and early-stage researchers
Anforderungen: KIT posts regulary jobs at our sites. 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"

Aufgaben: Lifeware was founded in 1998 in Switzerland, when a leading group of mathematicians, physicists and computer scientists decided to combine their expertise and innovative thinking about the life insurance business into their own company. A complete, fully integrated, web based solution for the management of life insurance products: this is Lifeware service
Anforderungen: We crawl all higher jobs at Lifeware automatically and post them at acad.jobs. 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"

Aufgaben: New Reinsurance Company Ltd. (NewRe) is a Swiss reinsurer founded in Zurich in 1926. In 1988, NewRe became part of Munich Re Group, one of the world’s leading reinsurers. With NewRe, you get the best of both worlds: the efficiency and creativity of a medium-sized reinsurer coupled with the exceptional financial solidity that comes with being a member of Munich Re Group. Our determination to find appropriate reinsurance solutions for our clients, our thorough market know-how and our swift response times are what make NewRe a preferred reinsurer. We see the changing market environment, emerging risks and increased complexity as opportunities to develop our business together with you
Anforderungen: We crawl all higher jobs at NewRe automatically and post them at acad.jobs. 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"

Aufgaben: Besprochen werden: Banking, Insurance und Finance; Statistik (non-finance), Biologie, Medizin (akademisch und nicht-akademisch); Informatik und Technik; General Management; Lehre (nicht akademisch); Akademische Stellen; Weitere wichtige Informationen zu Historische Entwicklung, Mittelschule und Studium, Praktika
Anforderungen: Praktika während des Studiums dienen nicht nur zur Aufbesserung von Einkommen und CV (inkl. sehr wichtige Referenzen), sondern ermöglichen auch herauszufinden, welche Jobs einem später am besten gefallen werden. Nach erfolgreich absolvierten Praktika sollte man auf jeden Fall von den Vorgesetzten ein Arbeitszeugnis einholen. Wenn diese mit der Arbeit sehr zufrieden sind, werden sie dabei von sich aus mitteilen, dass man sie als Referenz erwähnen darf. Wichtig ist, dass man Praktika macht, welche etwas mit Mathematik zu tun haben

Aufgaben: In diesem kurzen Aufsatz soll Mathematiker/innen und Statistiker/innen (allgemein Quants, also Personen mit quantitativer Ausbildung) aufgezeigt werden, wie einfach sie eine eigene Firma gründen können. Es wird aufgezeigt, dass im Gegensatz zu anderen Studiengebieten Quants sehr gute Chancen haben, direkt ab Hochschule erfolgreich eine Firma zu gründen. Die Aussagen gelten erst Recht für Personen mit Berufserfahrung. Mit dem Portfolio-Ansatz wird auch der zweiten Gruppe oben ein stufenweiser Einstieg in die unternehmerische Selbständigkeit aufgezeigt. Mit wichtigen Hinweisen für alle Fachgebiete!
Anforderungen: Ich unterscheide drei verschiedene Situationen, in denen diese Quants sein können: Student/in, Absolvent/in, Personen, welche z.B. wegen Unterstützungspflichten (vorerst) lediglich in Teilzeit Erwerbsarbeit leisten können, Personen, bei denen der Beruf und die Karriere (momentan) zentraler Lebensinhalt ist

Aufgaben: Lesen Sie zuerst ein Buch von 1000 Seiten, um herauszufinden, wie man sich bewirbt? Nein! In diesem kurzen Text ist alles Wesentliche zusammengefasst: Stelle finden, Stelle erhalten, Stelle behalten, Überbrückung, wenn es schwieriger wird. ... Im weiteren sollte man folgende Fragen stellen, falls im Verlauf des Gesprächs nicht beantwortet: Wie wird man eingearbeitet? Wie sieht ein "normaler" Arbeitstag aus (falls in wissenschaftlichem Bereich tätig: wie viel ist Routine, wieviel herausfordernde geistige Tätigkeit)? Welche Mittel werden Ihnen für die Erreichung der Ziele zur Verfügung gestellt? Wie viele Mitarbeiter sind zu führen? Was geschah mit dem vorherigen Stelleninhaber? Wie sind die Arbeitszeiten geregelt (Jahresarbeitszeit, Wochenarbeitszeit)? Wieviel Reisetätigkeit ist mit der Arbeit verbunden? Auslandaufenthalte? Wieviel Unterstützung kann man bei der Weiterbildung erwarten (freie Zeit dazu)?
Anforderungen: Überbrückung, wenn es schwieriger wird: Allfällige Publikationen noch fertig machen, welche aufgeschoben? Habilitation? Lehrerausbildung? Lehrbuch schreiben; Sprachen lernen; IT-Kenntnisse lernen/Statistikpaket lernen (eventuell kann man das noch eingeschrieben kostengünstig an der Uni); Aktuarsausbildung beschleunigt beenden (Vorlesungen an Hochschulen dazu); Lehrtätigkeit an Berufs-/Kantonsschulen, FH, Unis, auch für Übungen/Tutorate; Maturaexperte; Gutachtertätigkeit; EU und SNF-Projekte, andere? Personaldienstleistern anbieten als Experte bei Beurteilung von Fachkenntnissen; wegen Kontakten: Beitritt zu standespolitischen Organisationen? Dipl/Dr-Arbeiten betreuen helfen; Kostenlose Praktika oder bei Kollegen anfragen, welche kleine Firma haben (eigenes Profitcenter); eventuell auch aus dem Ausland wo Lebenshaltungskosten tief sind (inkl Sprachen lernen)

Aufgaben: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.acad.jobs/Tutoring for one year. For an additional cost of 200 CHF, Euro or US$, your listing will appear in the "Featured Tutors" section on the main page of www.acad.jobs/Tutoring. Banner: Annual cost is 500 US$ per 20 % call probability at www.acad.jobs/Tutoring
Anforderungen: Degree or student or other experience in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics

Aufgaben: The focus of the research project is the investigation of static and dynamic properties of magnetically ordered systems utilizing laser-based magneto-optic effects, such as Kerr and Faraday. The research will delve into the realms of magnetism in diverse metal/semiconductor heterostructures and the impact of spin diffusion on ultra-fast magnetism phenomena. Experimental activities will be conducted using a setup that generates high-order (XUV) harmonics of an infrared high-power laser, yielding short pulses in the tens-of-femtoseconds range. Such radiation can be precisely tuned at the M and N absorption edges of various transition metal and rare-earth compounds, enabling element-sensitive, time-resolved investigations of complex magnetic materials, in response to electronic and crystal excitations
Anforderungen: PhD in the field of physics, physical chemistry, materials, or a related discipline; requirements for election to the title of assistant at the University of Nova Gorica; have good command of the English language

Aufgaben: Analyze and model structures in large scale data; Collaborate with researchers from both computational and social sciences in an interdisciplinary environment; Co-author scientific papers aimed at high-impact journals; Participate in international conferences
Anforderungen: You must hold a PhD degree (or equivalent); You must have a background within Computer Science, Applied Mathematics, Physics or related fields; A track record of publishing interesting work within some of those field; Experience with machine learning, incl deep learning; Experience with modeling complex networks or graph neural networks is an advantage; Experiences using transformers is an advantage

Aufgaben: Your responsibilities will include making a significant contribution to deep learning methodology for cardiovascular imaging, by developing novel deep learning algorithms, especially deep generative models, to unveil and assess pathological signals in CMR imaging. You will also develop and implement the latest deep learning models for CMR imaging and data analysis, using programming languages such as Python, TensorFlow, Keras and PyTorch
Anforderungen: You are required to hold or be close to complete a higher degree (DPhil/PhD) in a relevant area of research and have strong deep learning and machine learning programming skills. Experience in CMR image processing, good understanding of CMR scanning protocols would be desirable

Aufgaben: Wrangle, clean, structure and store investigator data. Assist in building, populating and/or maintaining a searchable, browsable system storing raw omic and imaging data, sample metadata, data generation and data processing provenance, and custom analysis results; Assist platform development teams implementing scalable high-performance workflows to support the research community with analytical advances and to disseminate best practices to the computational community. Assist with documentation and user support that enable computational researchers across campus to access and re-use analysis pipelines; Assist with software development, using structured software engineering best practices. Collaborate with team members in building, publishing and re-using high-performance open-source code
Anforderungen: Master's Degree in Computational Biology or related field OR; Bachelor's Degree in Computational Biology or related field AND; 3 years of relevant experience; Demonstrated ability in research related to genomic analysis, machine learning, or image analysis, which may include experience with next-gen sequencing or medical imaging

Aufgaben: Develop and apply statistical and computational tools to analyze large scale omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable novel target identification, target assessment, MoA elucidation, drug combination rationale, and patient stratification, etc; Design and apply statistical techniques and machine learning algorithms to enable the discovery and evaluation of preclinical predictive and prognostic biomarkers for oncology projects; Collaborate with cross-functional teams to analyze and interpret complex large datasets and efficiently communicate findings to non-computational scientists and senior leaders
Anforderungen: A PhD in bioinformatics, computational biology, biostatics, cancer genomics, or a related field with at least 5 years of relevant work experience. Industry experience is preferred; Excellent interpersonal and communication skills that foster collaboration and teamwork; Basic understanding of cancer biology, immunology, molecular and cell biology; Proficiency in R, Python, Perl, JAVA, or C/C++ programming languages

Aufgaben: The University Hospital of Basel defines seven interdisciplinary focal points in clinical practice, research and development, from which renowned experts expect significant advances for the future of medicine. In this way, the University Hospital Basel is raising its profile both nationally and internationally and providing direct benefits for its patients
Anforderungen: We crawl all higher jobs in research, teaching and administration at USB 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"

Aufgaben: Die klassische Managementberatung ist ein Kerngebiet unserer Tätigkeit. Wir belassen es jedoch nicht bei der reinen Entwicklung von Konzepten, sondern helfen auch bei der erfolgreichen Umsetzung. Unsere zusätzliche Expertise im Projektmanagement, SAP-Management und IT-Management ermöglicht uns, in der heutigen, digitalen Welt ein komplettes Angebot für Ihr Projektvorhaben liefern zu können. Damit profitieren Sie von unseren Erfahrungen bis zur Ziellinie
Anforderungen: Basycon 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"