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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with machine learning, data science tools, operational systems using AI/ML. Provide data architecture skills to support core solution architecting and integration of data sources, pipelines, and platforms, in collaboration with our Data & Analytics, and Data Science & AI colleagues.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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Knowledge of one or more of the following technologies: Data Science, Machine Learning, Natural Language Processing, Business Intelligence, and Data Visualization. Knowledge of statistics and experience using statistical or BI packages for analyzing large datasets (Excel, R, Python, Power BI, Tableau etc.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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The majority of these hands-on requests involve pulling data from Real World Data repositories such as Medical Claims, Electronic Health/Medical Records, Lab results, Census data, CDC Surveys (e.g., NHANES) as well as internal systems of record to conduct a diverse range of analyses, primarily using tools like Snowflake SQL, R, Python, Tableau, others, while delivering the results via a succinct and effective data story.
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This position is an exciting opportunity to impact critical decision making in the progression of multi-target drug R&D primarily with immunology, cardiovascular, and/or neuroscience applications.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Partners with colleagues from other areas of Clinical Data Science and Evidence as well as Commercial Insights & Analytics Team, and may also collaborate with IT as necessary to deliver successful solutions.
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Programming expertise using SAS, Python, R, Julia, Stata, SQL, or a similar statistical language. We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. QSP models are mathematical models that are used to integrate knowledge and data on disease pathophysiology and drug pharmacology in a mechanistic manner.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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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.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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The Role: Associate Director of Data Science - 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.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) 4+ years of experience in data architecture, data management, data engineering, data science or data analytics.
$197,863 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity and expertise with the following technologies is preferred: programming languages such as R or Python with a specific focus on data analysis, MS Access, MS Excel and ESRI ArcGIS. Experience with MS SQL Server (SSMS) and/or SQL script writing is an asset.
$100,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$171,175 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data science processing r python jobs Company: Pwc in Princeton, NJ
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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.
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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.