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Doctorate (MD, PhD, VMD, or DDS) in computer science, computational biology, data science, bioinformatics, biomedical informatics, biostatistics, engineering, or a related quantitative field is required.
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BS in geoscience, lunar science, planetary science, image science, GIS, remote sensing, computational science or relevant science fields with applicable experience.
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Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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The Role: Lead Data Scientist- NLP, LLM and GenAI. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.
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We are looking for a Senior Computational Biologist to join our growing team and help us expand our biological data analysis and computational capabilities to better prioritize targets for genome editing in crops.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice.
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This position is for a full-time, computational scientist in the Moncla lab at the University of Pennsylvania School of Veterinary Medicine. Bioinformatician B: Master of Science in Computational Biology, Biology or related field or bioinformatics and 3 to 5 years of experience or equivalent combination of education and experience is required.
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Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas: Applied mathematics ( e.g. probability and statistics, formal modeling, computational social sciences) Computer programming ( e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Visualization ( e.g. GIS/geospatial analysis, telemetry analysis.
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PhD in computational chemistry, cheminformatics, data science, or a related field is highly preferred. The Therapeutics Discovery organization is continuing to build key scientific expertise in computational and medicinal chemistry, screening, and pharmacology to partner closely with our outstanding therapeutic area scientists to develop groundbreaking new medicines.
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Opportunities exist to collaborate with Stanford investigators at the forefront of innovation in fields highly relevant to pediatric IBD and celiac disease including immunology, microbiology, epithelial biology, computational biology, and data science.
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Graduate Degree in Psycholinguistics, Linguistics, Cognitive Science, Computer Science, or a related field. Graduate-degree-level knowledge of psycholinguistics, linguistics, cognitive science, computer science, or a related field.
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The post-doctoral researcher will function with substantial independence to support research activities in the areas of computational genomics, biomodeling, data science and molecular biology in the Department of Computational Data Science and Engineering in the College of Engineering at the North Carolina Agricultural and Technical State University.
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Currently enrolled in degree program (BS, MS, or Ph. D.) or a post-graduate non-degree program in Bioinformatics, Electrical Engineering, Computer Science, Mathematics, or related field with specialization in computational biology, ML, NLP, Deep Learning, data science or related fields.
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MS in Computational Biology, Bioinformatics, Mathematics, Statistics, Computer Science, Bioengineering or a related field. Engage in collaborative efforts with a multidisciplinary team, including computational biologists, biomarker scientists, bioinformatics experts, and data scientists, to innovate and expand the application's capabilities, specifically in the realm of high-content, multi-omics biomarker data (e.g., ctDNA, RNseq, proteomics.
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Johnson & Johnson is recruiting for a Senior Scientist, Cheminformatics. Develop data visualizations from internal and external sources, including chemical structures, biological assay data, and other experimental results to discover new trends and enable improved decision-making in discovery projects.
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data science scientist computational linguistics jobs Title: science director
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.