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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
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PhD in bioinformatics, computational biology, computer science, mathematics, or related field; or Master's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 4 years of experience in lieu of a PhD; or Bachelor's degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in lieu of PhD.
$267,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Principal Data Science/AI Architect will be responsible for setting the technical direction of the team responsible for extracting the highest business value possible from the data available and to further refine requirements towards the data engineering team to ensure a rich and complete dataset is available for consumption.
$327,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Preferred Qualifications: Bachelors/masters degree in computer science, Artificial Intelligence, Data Science, or a related field. Job Area: Information Technology Group, IT Data Scientist.
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The UCSD Department of Cellular and Molecular Medicine (CMM) is one of two basic science units in the School of Medicine where world class researchers study fundamental cellular processes and pathways using a variety of techniques from classical genetics and fluorescence microscopy to high throughput genomics, systems biology, and crystallography.
$31.64 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Vertex Pharmaceuticals is seeking a machine learning expert to lead machine learning efforts in the Data and Computational Sciences (DCS) team, which is responsible for the data science and computational science efforts for all of Global Research at Vertex.
$282,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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PhD in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Genetics, Genomics, or Computer Science, with 0-3 years of pharmaceutical industry experience or MS/BS degree with 10+ years of pharmaceutical industry experience.
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Candidates must have a PhD in Psychology, Neuroscience, Cognitive Science, Computer Science, or a related field. Candidates must have a PhD or be ABD (all but dissertation) in Psychology, Neuroscience, Cognitive Science, Computer Science, or a related field.
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Experience with building data pipelines, data pipeline infrastructure and related tools and environments used in analytics and data science (ex: Python, Unix) They will work closely with data analysts and data science to prepare datasets for analytics, model training, automate scoring processes, and enable the use of new tools for the Marketing Research and Analytics team.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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The ideal candidate will have deep experience in next-generation sequencing (NGS) data analysis, particularly with Illumina sequencers, and will contribute to the development and optimization of our cutting-edge enzymatic DNA synthesis process.
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In addition to the utilization of portable, rapid assay technologies to identify pathogens in the field, test specimens and limited epidemiologic data, when approved by the Institutional Review Board (IRB), are provided to the NHRC laboratory where diagnostics and, in some instances, in-depth pathogen characterization is conducted.
$71,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Manager, Data Science - DevOps Data Science Manager - AI/ML. Deloitte Technology US is seeking a seasoned Cloud - AI DevOps Engineer who will work as part of a cross-functional agile team to launch innovative AI-driven Data and Analytics products.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
data science jobs Company: Dexcom in San Diego, IN, Pennsylvania
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2023 Quarterly Review: What’s Happening in Recruitment?
It’s that time again. It’s your quarterly review. Get excited because this is a great time to review some of the amazing accomplishments you and other pros like you have made in recruitment for 2023 thus far! Despite recruitment challenges, things are starting to balance out in the candidate market - partly because of the brilliant ideas and methods being used.
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.
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.
How to Navigate Hiring Out of State
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.